Daniel Rueckert

Daniel Rueckert, Theodoros Papatheodorou, D. Rueckert, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas

Eric Kerfoot, Daniel Rueckert, Wenjia Bai, 2016, STACOM@MICCAI.

Medical Image Computing and Computer Assisted Intervention - MICCAI 2007

Daniel Rueckert, Mary A. Rutherford, Paul Aljabar, 2007 .

Segmentation of brain MRI in young children.

Daniel Rueckert, Maria Murgasova, Jo Hajnal, 2006, Academic radiology.

LECT NOTE COMPUT SCI

Daniel Rueckert, Derek L. G. Hill, Pier D. Lambiase, 1999 .

Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2012, NeuroImage.

Landmark localisation in brain MR images using feature point descriptors based on 3D local self-similarities

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest

Daniel Rueckert, Bernhard Kainz, Juan J. Cerrolaza, 2017, FIFI/OMIA@MICCAI.

Self-supervised learning for medical image analysis using image context restoration

Liang Chen, Daniel Rueckert, Kensaku Mori, 2019, Medical Image Anal..

3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders

Daniel Rueckert, Declan P. O'Regan, Juan J. Cerrolaza, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Simulation and Synthesis in Medical Imaging

Daniel Rueckert, Alexander Hammers, Joanna M. Wardlaw, 2018, Lecture Notes in Computer Science.

Automated quantification and analysis of mandibular asymmetry

Tron A. Darvann, Hildur Ólafsdóttir, Nuno V. Hermann, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Manifold Forests for Multi-modality Classification of Alzheimer’s Disease

Daniel Rueckert, Paul Aljabar, Alexander Hammers, 2013 .

Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2014, IEEE Transactions on Medical Imaging.

Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography

Daniel Rueckert, Fabien Scalzo, Kouros Nouri-Mahdavi, 2020, ISVC.

Volume and Shape Preservation of Enhancing Lesions when Applying Non-rigid Registration to a Time Series of Contrast Enhancing MR Breast Images

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 2000, MICCAI.

Fast and robust multi-atlas segmentation of brain magnetic resonance images

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2010, NeuroImage.

Analysis of serial MR images of joints

Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

A Probabilistic White Matter Atlas Approach to Assessing Age Related Changes in the Brain

Daniel Rueckert, Fani Deligianni, Alexander Hammers, 2010 .

Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort

Daniel Rueckert, Pablo Lamata, Wenjia Bai, 2019, PLoS Comput. Biol..

Incorporating hard constraints into non-rigid registration via nonlinear programming

Berç Rustem, Daniel Rueckert, Duy V. N. Luong, 2011, Medical Imaging.

Priori-driven dimensions of face-space: experiments incorporating eye-tracking information

Carlos E. Thomaz, Vagner do Amaral, Duncan Fyfe Gillies, 2016, ETRA.

Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging pdf

Daniel Rueckert, Bernhard Kainz, Martin Rajchl, 2018, ArXiv.

Limited One-time Sampling Irregularity Age Map (LOTS-IAM): Automatic Unsupervised Detection of Brain White Matter Abnormalities in Structural Magnetic Resonance Images

Daniel Rueckert, Hongwei Li, Muhammad Febrian Rachmadi, 2018, bioRxiv.

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Konstantinos Kamnitsas, Daniel Rueckert, Steven McDonagh, 2019, BrainLes@MICCAI.

Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease

Liang Chen, Daniel Rueckert, Tong Tong, 2015, MLMI.

Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network pdf

Daniel Rueckert, Declan P. O'Regan, Antonio de Marvao, 2019, ArXiv.

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography

Chen Wang, Wei Shi, Daniel Rueckert, 2016, IEEE Transactions on Medical Imaging.

Construction of a Cardiac Motion Atlas From MR Using Non-rigid Registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2003, FIMH.

Dense Multi-frame Optic Flow for Non-rigid Objects Using Subspace Constraints

Daniel Rueckert, Lourdes Agapito, Ravi Garg, 2010, ACCV.

Automated Abdominal Multi-Organ Segmentation With Subject-Specific Atlas Generation

Daniel Rueckert, Robin Wolz, Kensaku Mori, 2013, IEEE Transactions on Medical Imaging.

Proceedings of the 4th international conference on Biomedical image registration

Benoit M. Dawant, Daniel Rueckert, Gary E. Christensen, 2010 .

Machine Learning for Medical Image Reconstruction: Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Daniel Rueckert, Jong Chul Ye, Florian Knoll, 2019, MLMIR@MICCAI.

A comparison of the tissue classification and the segmentation propagation techniques in MRI brain image segmentation

Daniel Rueckert, Stephen M. Smith, Joseph V. Hajnal, 2005, SPIE Medical Imaging.

Automatic Cortical Segmentation in the Developing Brain

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, IPMI.

Analysis of 3-D myocardial motion in tagged MR images using nonrigid image registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2004, IEEE Transactions on Medical Imaging.

Measurement of hippocampal atrophy using 4D graph-cut segmentation: Application to ADNI

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2010, NeuroImage.

2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)

Daniel Rueckert, Paul Aljabar, Ahmed Serag, 2012, ISBI 2012.

Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2010, NeuroImage.

Improved slice to volume reconstruction of the fetal brain for automated cortex segmentation

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2009 .

Analysis of Myocardial Motion and Strain Patterns Using a Cylindrical B-Spline Transformation Model

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2003, IS4TH.

Standard Plane Localisation in 3D Fetal Ultrasound Using Network with Geometric and Image Loss

Bishesh Khanal, Amir Alansary, Daniel Rueckert, 2018 .

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry pdf

Bishesh Khanal, Amir Alansary, Ben Glocker, 2018, MICCAI.

A common neonatal image phenotype predicts adverse neurodevelopmental outcome in children born preterm

Daniel Rueckert, Mary A. Rutherford, Paul Aljabar, 2010, NeuroImage.

Detecting regional changes in myocardial contraction patterns using MRI

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2004, SPIE Medical Imaging.

Transfer Learning for Brain Segmentation: Pre-task Selection and Data Limitations

Daniel Rueckert, Robin Wolz, Jack Weatheritt, 2020, MIUA.

A Continuous Flow-Maximisation Approach to Connectivity-Driven Cortical Parcellation

Daniel Rueckert, Sarah Parisot, Martin Rajchl, 2015, MICCAI.

The Effects of Non-ischemic Fibrosis Texture and Density on Mechanisms of Reentry

Daniel Rueckert, Gabriel Balaban, Caroline Mendonça Costa, 2018, 2018 Computing in Cardiology Conference (CinC).

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging pdf

Yuanyuan Wang, Daniel Rueckert, Mitko Veta, 2020, ArXiv.

Learning under Distributed Weak Supervision pdf

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2016, ArXiv.

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Daniel Rueckert, Mark Jenkinson, Joseph V. Hajnal, 2019, NeuroImage.

Quantification of Growth and Motion Using Non-rigid Registration

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2006, CVAMIA.

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Daniel Rueckert, Chen Qin, Wenjia Bai, 2018, MICCAI.

A Framework Combining Multi-sequence MRI for Fully Automated Quantitative Analysis of Cardiac Global And Regional Functions

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2011, FIMH.

Model-Guided Directional Minimal Path for Fully Automatic Extraction of Coronary Centerlines from Cardiac CTA

Liu Liu, Sébastien Ourselin, Daniel Rueckert, 2013, MICCAI.

A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

Sébastien Ourselin, Kawal S. Rhode, Daniel Rueckert, 2012, IEEE Transactions on Medical Imaging.

Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2010, WBIR.

MRI of Moving Subjects Using Multislice Snapshot Images With Volume Reconstruction (SVR): Application to Fetal, Neonatal, and Adult Brain Studies

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, IEEE Transactions on Medical Imaging.

Statistical shape modelling of long bones for biomechanical analyses

Daniel Rueckert, Anthony M. J. Bull, Adam M. Hill, 2006 .

Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2018 .

An exploration of task based fMRI in neonates using echo-shifting to allow acquisition at longer T E without loss of temporal efficiency

Daniel Rueckert, Tomoki Arichi, Rita G Nunes, 2016, NeuroImage.

A whole brain morphometric analysis of changes associated with pre-term birth

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2006, SPIE Medical Imaging.

Multivariate Statistical Analysis of Whole Brain Structural Networks Obtained Using Probabilistic Tractography

Daniel Rueckert, Alexander Hammers, Michel F. Valstar, 2008, MICCAI.

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

René M. Botnar, Daniel Rueckert, Aurélien Bustin, 2018, MLMIR@MICCAI.

Localization of Abnormal Conduction Pathways for Tachyarrhythmia Treatment Using Tagged MRI

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2005, MICCAI.

Construction of Diffeomorphic Spatio-temporal Atlases using Karcher means and LDDMM: Application to

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2011 .

Image-Based Registration in Canonical Atlas Space

Bishesh Khanal, Amir Alansary, Ben Glocker, 2018 .

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, IEEE Transactions on Medical Imaging.

FPGA-Based Computation of Free-Form Deformations

Daniel Rueckert, Wayne Luk, Jun Jiang, 2003, FPL.

Reproducible Large-Scale Neuroimaging Studies with the OpenMOLE Workflow Management System

Daniel Rueckert, Sarah Parisot, Emma C. Robinson, 2017, Front. Neuroinform..

Multi-organ Segmentation Based on Spatially-Divided Probabilistic Atlas from 3D Abdominal CT Images

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2013, MICCAI.

Automatic multi-label segmentation of the preterm brain with the use of adaptive atlases

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2012 .

Efficient, high-performance pancreatic segmentation using multi-scale feature extraction pdf

Daniel Rueckert, Sebastian Ziegelmayer, Rickmer Braren, 2020, ArXiv.

Simultaneous Fine and Coarse Diffeomorphic Registration: Application to Atrophy Measurement in Alzheimer's Disease

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2010, MICCAI.

Eidolon: Visualization and Computational Framework for Multi-modal Biomedical Data Analysis

Jack Lee, Eric Kerfoot, Daniel Rueckert, 2016, MIAR.

Coronary centerline extraction based on ostium detection and model-guided directional minimal path

Liu Liu, Sébastien Ourselin, Daniel Rueckert, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Exploring heritability of functional brain networks with inexact graph matching

Daniel Rueckert, Sofia Ira Ktena, Sarah Parisot, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Using texture mapping to register video images to tomographic images by optimising mutual information

Daniel Rueckert, Matthew J. Clarkson, Andrew P. King, 1999 .

Modeling of the bony pelvis from MRI using a multi-atlas AE-SDM for registration and tracking in image-guided robotic prostatectomy

Daniel Rueckert, Guang-Zhong Yang, Ara Darzi, 2013, Comput. Medical Imaging Graph..

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study pdf

Ben Glocker, Daniel Rueckert, Hideaki Suzuki, 2019, ArXiv.

Fast Volume Reconstruction from Motion Corrupted Stacks of 2D Slices

Daniel Rueckert, Bernhard Kainz, Christina Malamateniou, 2015, IEEE Transactions on Medical Imaging.

Automatic detection of coronary stent struts in intravascular OCT imaging

Daniel Rueckert, Haiyan Wang, Ricardo Guerrero, 2012, Medical Imaging.

Registration of multiple 2D video images to a 3D medical image

Daniel Rueckert, Matthew J. Clarkson, David J. Hawkes, 2000 .

Multivariate Statistical Differences of MRI Samples of the Human Brain

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2007, Journal of Mathematical Imaging and Vision.

Non-rigid registration using higher-order mutual information

Daniel Rueckert, Derek L. G. Hill, David John Hawkes, 2000, Medical Imaging.

Non-rigid registration using free-form deformations

Daniel Rueckert, Paul Aljabar, D. Rueckert, 2015 .

Deformation based morphmetry and atlas based label segmentation: Application to serial mouse brain images

Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Pancreas segmentation from 3D abdominal CT images using patient-specific weighted subspatial probabilistic atlases

Daniel Rueckert, Yuichiro Hayashi, Masahiro Oda, 2015, Medical Imaging.

Manifold Learning for Cardiac Modeling and Estimation Framework

Daniel Rueckert, Kanwal K. Bhatia, Radomír Chabiniok, 2014, STACOM.

A VALIDATION OF THE PREDICTION OF HUMERAL SHAPE USING STANDARD MORPHOLOGICAL MEASUREMENT

Daniel Rueckert, Anthony M. J. Bull, Yuhui M. Yang, 2008 .

Use of Data Provenance and the Grid in Medical Image Analysis and Drug Discovery - An IXI Exemplar

Daniel Rueckert, Mark Holden, Kk Leung, 2004 .

Simulation of the Electromechanical Activity of the Heart Using XMR Interventional Imaging

Kawal S. Rhode, Daniel Rueckert, Maxime Sermesant, 2004, MICCAI.

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz, 2016, IEEE Transactions on Medical Imaging.

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network

Konstantinos Kamnitsas, Daniel Rueckert, Jennifer Keegan, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Random forest-based similarity measures for multi-modal classification of Alzheimer's disease

Daniel Rueckert, Paul Aljabar, Alexander Hammers, 2013, NeuroImage.

Multiscale approach to contour fitting for MR images

Daniel Rueckert, Peter Burger, D. Rueckert, 1996, Medical Imaging.

Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling

Konstantinos Kamnitsas, Daniel Rueckert, Juan J. Cerrolaza, 2019, ArXiv.

Automated localization of periventricular and subcortical white matter lesions

Daniel Rueckert, Alexander Hammers, Wiro J. Niessen, 2007, SPIE Medical Imaging.

Is human face processing a feature- or pattern-based task? Evidence using a unified computational method driven by eye movements pdf

Carlos E. Thomaz, Vagner do Amaral, Gilson A. Giraldi, 2017, ArXiv.

Application of XMR 2D-3D Registration to Cardiac Interventional Guidance

Kawal S. Rhode, Daniel Rueckert, John H. Hipwell, 2003, MICCAI.

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs

Amir Alansary, Ben Glocker, Daniel Rueckert, 2015, MLMMI@ICML.

Multi-atlas propagation via a manifold graph on a database of both labeled and unlabeled images

Daniel Rueckert, Tong Tong, Philip J. Edwards, 2014, Medical Imaging.

Deep nested level sets: Fully automated segmentation of cardiac MR images in patients with pulmonary hypertension pdf

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, MICCAI.

Interactive Finite Element Simulation of the Beating Heart for Image-Guided Robotic Cardiac Surgery

Daniel Rueckert, Fernando Bello, Philip J. Edwards, 2008, MMVR.

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach pdf

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, ArXiv.

Subject-level Prediction of Segmentation Failure using Real-Time Convolutional Neural Nets

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2018 .

Nonlinear dimensionality reduction combining MR imaging with non-imaging information

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2012, Medical Image Anal..

Assessment of brain growth in early childhood using deformation-based morphometry

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2008, NeuroImage.

Unsupervised Learning of Shape Complexity: Application to Brain Development

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2012, STIA.

Automatic construction of multiple-object three-dimensional shape models: Application to cardiac modeling

Alejandro F. Frangi, Daniel Rueckert, Wiro J. Niessen, 2002 .

A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, IPMI.

Propagating labels of the human brain based on non-rigid MR image registration: an evaluation

Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers, 2005, SPIE Medical Imaging.

Temporal sparse free-form deformations

Daniel Rueckert, Haiyan Wang, Xiahai Zhuang, 2013, Medical Image Anal..

Statistical shape modelling: How many modes should be retained?

Michael Figl, Daniel Rueckert, Ara Darzi, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Cascaded Transforming Multi-task Networks For Abdominal Biometric Estimation from Ultrasound

Daniel Rueckert, Bernhard Kainz, Wenjia Bai, 2018 .

Deep Pose Estimation for Image-Based Registration

Bishesh Khanal, Amir Alansary, Ben Glocker, 2018 .

Performance prediction for a code with data‐dependent runtimes

Daniel Rueckert, Stephen A. Jarvis, Daniel P. Spooner, 2008, Concurr. Comput. Pract. Exp..

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease

Alejandro F. Frangi, Daniel Rueckert, Helena Molina-Abril, 2015, IPMI.

Robust whole-brain segmentation: Application to traumatic brain injury

Jyrki Lötjönen, Juan Carlos López, Daniel Rueckert, 2015, Medical Image Anal..

The Effect of Multimedia Instruction in Integrating Technology into the Teacher Education Classroom Based on the Adopter Category Theory

Daniel Rueckert, Daesang Kim, 2008 .

Multi-organ segmentation from 3D abdominal CT images using patient-specific weighted-probabilistic atlas

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2013, Medical Imaging.

Information eXtraction from Images (IXI): Grid Services for Medical Imaging

Daniel Rueckert, Dlg Hill, Jo V. Hajnal, 2004 .

Patch-based Brain Age Estimation from MR Images

Daniel Rueckert, Alexander Hammers, Arinbjorn Kolbeinsson, 2020, MLCN/RNO-AI@MICCAI.

Parameterizing reconfigurable designs for image warping

Daniel Rueckert, Wayne Luk, Jun Jiang, 2002, SPIE ITCom.

Left atrium segmentation for atrial fibrillation ablation

Daniel Rueckert, Raad Mohiaddin, Rashed Karim, 2008, SPIE Medical Imaging.

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images

Daniel Rueckert, Chen Chen, Wenjia Bai, 2019, MICCAI.

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes

Daniel Rueckert, Ognjen Rudovic, Rosalind W. Picard, 2019, MLHC.

Shape-based Tracking and Analysis of the Aorta in Cardiac MR Images Using Geometrically Deformable T

Daniel Rueckert, Peter Burger, 1996 .

BRAIN-WIDE SURVEY OF ANATOMICAL STRUCTURES AS CLASSIFIERS IN TEMPORAL LOBE EPILEPSY USING AUTOMATIC SEGMENTATION AND STRUCTURE SELECTION

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2010 .

Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2015, MICCAI 2015.

A Multi-channel 4D Probabilistic Atlas of the Developing Brain: Application to Fetuses and Neonates

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2012 .

Comparison and Evaluation of Segmentation Techniques for Subcortical Structures in Brain MRI

Daniel Rueckert, Timothy F. Cootes, Stephen M. Smith, 2008, MICCAI.

Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

Alejandro F. Frangi, Daniel Rueckert, Helena Molina-Abril, 2016, PloS one.

Deep learning with ultrasound physics for fetal skull segmentation

Daniel Rueckert, Juan J. Cerrolaza, Matthew Sinclair, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2017, FIMH.

Hierarchy in structural brain networks

Daniel Rueckert, Fani Deligianni, David J. Sharp, 2011, MIUA.

Atlas-based segmentation of 4d cardiac mr sequences using non-rigid registration

Daniel Rueckert, Raad H. Mohiaddin, Gerardo I. Sanchez-Ortiz, 2002 .

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease

Ben Glocker, Daniel Rueckert, Ricardo Guerrero, 2018, Medical Image Anal..

Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features

Daniel Rueckert, Wenjia Bai, Ozan Oktay, 2015, STACOM@MICCAI.

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

Daniel Rueckert, Chen Qin, Jo Schlemper, 2019, MICCAI.

Multi-modal classification of Alzheimer's disease using nonlinear graph fusion

Liang Chen, Daniel Rueckert, Tong Tong, 2017, Pattern Recognit..

Segmentation of Brain MRI in Young Children

Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, 2007, MICCAI.

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation pdf

Daniel Rueckert, Masahiro Oda, Takayuki Kitasaka, 2017, DLMIA/ML-CDS@MICCAI.

Consistent groupwise non-rigid registration for atlas construction

Daniel Rueckert, Joseph V. Hajnal, Kanwal K. Bhatia, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

An Image Registration Approach to Automated Calibration for Freehand 3D Ultrasound

Daniel Rueckert, David J. Hawkes, Graeme P. Penney, 2000, MICCAI.

Sample Sufficiency and PCA Dimension for Statistical Shape Models

Michael Figl, Daniel Rueckert, Ara Darzi, 2008, ECCV.

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Alejandro F. Frangi, Kawal S. Rhode, Daniel Rueckert, 2013, Medical Image Anal..

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

Bishesh Khanal, Daniel Rueckert, Steven McDonagh, 2017 .

Right ventricle segmentation from cardiac MRI: A collation study

Daniel Rueckert, Maria A. Zuluaga, Sébastien Ourselin, 2015, Medical Image Anal..

Image Guidance for Robotic Minimally Invasive Coronary Artery Bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2008, MIAR.

Structured Decision Forests for Multi-modal Ultrasound Image Registration

Daniel Rueckert, Graeme P. Penney, Kevin Keraudren, 2015, MICCAI.

Three-dimensional cardiovascular imaging-genetics: a mass univariate framework

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2017, Bioinform..

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

Daniel Rueckert, Chen Chen, Huaqi Qiu, 2020, ECCV.

Graph-Based Label Propagation in Fetal Brain MR Images

Daniel Rueckert, Christina Malamateniou, Mary A. Rutherford, 2014, MLMI.

Gradient Projection Learning for Parametric Nonrigid Registration

Daniel Rueckert, Declan P. O'Regan, Luis Pizarro, 2012, MLMI.

Communicative Reinforcement Learning Agents for Landmark Detection in Brain Images

Daniel Rueckert, Amir Alansary, Guy Leroy, 2020, MLCN/RNO-AI@MICCAI.

Dictionary Learning and Time Sparsity in Dynamic MRI

Daniel Rueckert, Joseph V. Hajnal, Jose Caballero, 2012, MICCAI.

Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch

Daniel Rueckert, Xiahai Zhuang, Declan P. O'Regan, 2013, MICCAI.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging

Daniel Rueckert, Jacques-Donald Tournier, Daan Christiaens, 2020, NMR in biomedicine.

Structure Specific Atlas Generation and Its Application to Pancreas Segmentation from Contrasted Abdominal CT Volumes

Daniel Rueckert, Yuichiro Hayashi, Masahiro Oda, 2015, MCV@MICCAI.

Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm

Daniel Rueckert, Raad Mohiaddin, Gerardo I. Sanchez-Ortiz, 2004, Medical Image Anal..

Regression Forest-Based Atlas Localization and Direction Specific Atlas Generation for Pancreas Segmentation pdf

Daniel Rueckert, Masahiro Oda, Takayuki Kitasaka, 2016, MICCAI.

Recognition of 3D facial expression dynamics

Stefanos Zafeiriou, Daniel Rueckert, Maja Pantic, 2012, Image Vis. Comput..

Improved generation of probabilistic atlases for the expectation maximization classification

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Real-time Prediction of Segmentation Quality

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2018, MICCAI.

Learning-Based Parametric Nonrigid Registration

Daniel Rueckert, Luis Pizarro, Stefan Pszczolkowski, 2012 .

Detecting and Comparing the Onset of Myocardial Activation and Regional Motion Changes in Tagged MR for XMR-Guided RF Ablation

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2005, FIMH.

Editorial

Guido Gerig, Guang-Zhong Yang, Daniel Rueckert, 2010, Medical Image Anal..

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction pdf

Daniel Rueckert, Joseph V. Hajnal, Chen Qin, 2019, ArXiv.

Generalised G-Factor Reduction Using Joint Entropy

Daniel Rueckert, Philip Batchelor, David J. Larkman, 2005 .

Spatial Semantic-Preserving Latent Space Learning for Accelerated DWI Diagnostic Report Generation

Daniel Rueckert, Paul Bentley, Gavin Seegoolam, 2020, MICCAI.

Classifier Selection Strategies for Label Fusion Using Large Atlas Databases

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2007, MICCAI.

A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease

Daniel Rueckert, Christian Ledig, Ricardo Guerrero, 2017, IEEE Transactions on Biomedical Engineering.

A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images

Carlos E. Thomaz, Gilson A. Giraldi, Duncan Fyfe Gillies, 2015, 2015 Sixth International Conference on Emerging Security Technologies (EST).

Robust segmentation of brain MRI using combination of registration and EM-based methods

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, SCCG.

Human-level CMR image analysis with deep fully convolutional networks pdf

Ben Glocker, Daniel Rueckert, Hideaki Suzuki, 2017, ArXiv.

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

Daniel Rueckert, Mark Jenkinson, Mary A. Rutherford, 2017, NeuroImage.

Automatic volumetry on MR brain images can support diagnostic decision making

Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers, 2008, BMC Medical Imaging.

Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs pdf

Daniel Rueckert, Ahmed E. Fetit, Seoin Chai, 2020, ArXiv.

Left atrium pulmonary veins: segmentation and quantification for planning atrial fibrillation ablation

Daniel Rueckert, Raad Mohiaddin, Rashed Karim, 2009, Medical Imaging.

Automatic 3D ASM Construction via Atlas-Based Landmarking and Volumetric Elastic Registration

Alejandro F. Frangi, Daniel Rueckert, Wiro J. Niessen, 2001, IPMI.

Multiple 2D video/3D medical image registration algorithm

Daniel Rueckert, Derek L. G. Hill, David John Hawkes, 2000, Medical Imaging: Image Processing.

A Robust Mosaicing Method for Robotic Assisted Minimally Invasive Surgery

Michael Figl, Daniel Rueckert, Fernando Bello, 2010, ICINCO.

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images pdf

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2017, ArXiv.

LISA: Longitudinal image registration via spatio-temporal atlases

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Automatic Cardiac Motion Tracking Using Both Untagged and 3D Tagged MR Images

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2011, STACOM.

Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging

Ben Glocker, Daniel Rueckert, Hideaki Suzuki, 2017, MICCAI.

IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis

Daniel Rueckert, Polina Golland, P. Golland, 2006 .

XMR guided cardiac electrophysiology study and radio frequency ablation

Daniel Rueckert, Reza Razavi, Maxime Sermesant, 2004, SPIE Medical Imaging.

Segmentation of cardiac MR and CT image sequences using model-based registration of a 4D statistical model

Daniel Rueckert, Raad Mohiaddin, Dimitrios Perperidis, 2007, SPIE Medical Imaging.

Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation

Konstantinos Kamnitsas, Daniel Rueckert, Jinming Duan, 2019, MICCAI.

Determination of Aortic Distensibility Using Non-rigid Registration of Cine MR Images

Daniel Rueckert, Raad Mohiaddin, Gerardo I. Sanchez-Ortiz, 2004, MICCAI.

A framework for combining a motion atlas with non‐motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction

Daniel Rueckert, Wenjia Bai, Myrianthi Hadjicharalambous, 2017, Medical Image Anal..

Performance prediction for a code with data-dependent runtimes

Daniel Rueckert, Stephen A. Jarvis, Daniel P. Spooner, 2008 .

Real-Time Detection and Localisation of Fetal Standard Scan Planes in 2D Freehand Ultrasound pdf

Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz, 2016, ArXiv.

Model-Based and Data-Driven Strategies in Medical Image Computing

Daniel Rueckert, Julia A. Schnabel, D. Rueckert, 2019, Proceedings of the IEEE.

Deformation Based Morphometry Analysis of Serial Magnetic Resonance Images of Mouse Brains

Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill, 2006, WBIR.

Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

Daniel Rueckert, Paul Aljabar, Christian Ledig, 2015, MICCAI 2015.

Extended boundary shift integral

Juha Koikkalainen, Jyrki Lötjönen, Sébastien Ourselin, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2017, Journal of Cardiovascular Magnetic Resonance.

A flexible graphical model for multi-modal parcellation of the cortex

Ben Glocker, Daniel Rueckert, Sarah Parisot, 2017, NeuroImage.

Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI

Daniel Rueckert, Joseph V. Hajnal, Christophe Chefd'Hotel, 2008, MICCAI.

Parcellation-Independent Multi-Scale Framework for Brain Network Analysis

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2014 .

Correction of Fat-Water Swaps in Dixon MRI

Ben Glocker, Daniel Rueckert, Ender Konukoglu, 2016, MICCAI.

Analysis of serial magnetic resonance images of mouse brains using image registration

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2009, NeuroImage.

Motion and deformation tracking for short-axis echo-planar myocardial perfusion imaging

Daniel Rueckert, Guang-Zhong Yang, Peter Gatehouse, 1998, Medical Image Anal..

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network pdf

Bishesh Khanal, Amir Alansary, Daniel Rueckert, 2018, MICCAI.

Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance Imaging

Kawal S. Rhode, Daniel Rueckert, Reza Razavi, 2011, FIMH.

Unbiased White Matter Atlas Construction Using Diffusion Tensor Images

Daniel Rueckert, Paul A. Yushkevich, James C. Gee, 2007, MICCAI.

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz, 2016, IEEE Transactions on Medical Imaging.

Registration and Segmentation in Medical Imaging

Daniel Rueckert, Julia A. Schnabel, D. Rueckert, 2014, Registration and Recognition in Images and Videos.

Fast Catheter Tracking in Echocardiographic Sequences for Cardiac Catheterization Interventions

YingLiang Ma, Xianliang Wu, Richard James Housden, 2013, STACOM.

Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative

Daniel Rueckert, Claire R. Donoghue, Anil Rao, 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI

Daniel Rueckert, Salim Arslan, Salim Arslan, 2015, MICCAI.

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Alejandro F. Frangi, Sotirios A. Tsaftaris, Daniel Rueckert, 2018, IEEE Journal of Biomedical and Health Informatics.

A generic framework for privacy preserving deep learning pdf

Daniel Rueckert, Jonathan Passerat-Palmbach, Morten Dahl, 2018, ArXiv.

Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, FIMH.

Multi-template tensor-based morphometry: Application to analysis of Alzheimer's disease

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2011, NeuroImage.

Multi-Task Learning for Left Atrial Segmentation on GE-MRI

Daniel Rueckert, Chen Chen, Wenjia Bai, 2018, STACOM@MICCAI.

Deep Generative Model-based Quality Control for Cardiac MRI Segmentation

Daniel Rueckert, Chen Chen, Shuo Wang, 2020, MICCAI.

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion pdf

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2017, MICCAI.

Automatic extraction of the left atrial anatomy from MR for atrial fibrillation ablation

Daniel Rueckert, Raad Mohiaddin, Rashed Karim, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Construction of Biventricular Statistical Shape Models

Alejandro F. Frangi, Daniel Rueckert, Wiro J. Niessen, 2003, FIMH.

Fast fully automatic brain detection in fetal MRI using dense rotation invariant image descriptors

Daniel Rueckert, Bernhard Kainz, Kevin Keraudren, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Multi-atlas based neointima segmentation in intravascular coronary OCT

Daniel Rueckert, Haiyan Wang, Tong Tong, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automatic detection and quantification of hippocampal atrophy on MRI in temporal lobe epilepsy: A proof-of-principle study

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2007, NeuroImage.

Machine learning for the automatic localisation of foetal body parts in cine-MRI scans

Daniel Rueckert, Bernhard Kainz, Christina Malamateniou, 2015, Medical Imaging.

Sample Sufficiency and Number of Modes to Retain in Statistical Shape Modelling

Michael Figl, Daniel Rueckert, Ara Darzi, 2008, MICCAI.

Manifold Learning for Biomarker Discovery in MR Imaging

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2010, MLMI.

Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter

Daniel Rueckert, Paul A. Yushkevich, James C. Gee, 2009, MICCAI.

Automated quantitative analysis of rheumatoid arthritis lesions in MRI

Daniel Rueckert, Mark Holden, Dlg Hill, 2005 .

Dictionary learning for medical image denoising, reconstruction, and segmentation

Daniel Rueckert, Kanwal K. Bhatia, Jose Caballero, 2016 .

Analysis of myocardial motion in tagged MR images using nonrigid image registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad H. Mohiaddin, 2002, SPIE Medical Imaging.

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging

Daniel Rueckert, Bernhard Kainz, Martin Rajchl, 2019, IEEE Transactions on Medical Imaging.

Reconstruction of a 3D surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes

Michael Figl, Daniel Rueckert, Fernando Bello, 2012, Medical Image Anal..

Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease

Daniel Rueckert, Christian Ledig, Ricardo Guerrero, 2014, MLMI.

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2018, bioRxiv.

Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2012, NeuroImage.

Automated camera calibration for image-guided surgery using intensity-based registration

Daniel Rueckert, Calvin R. Maurer, 2002, SPIE Medical Imaging.

Stefanos Zafeiriou, Daniel Rueckert, Patrick Snape, 2016, Image Vis. Comput..

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening

Daniel Rueckert, Bernhard Kainz, Anselm Au, 2020, ASMUS/PIPPI@MICCAI.

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2016, IEEE Transactions on Medical Imaging.

DRINet for Medical Image Segmentation

Liang Chen, Daniel Rueckert, Kensaku Mori, 2018, IEEE Transactions on Medical Imaging.

Employing Weak Annotations for Medical Image Analysis Problems pdf

Daniel Rueckert, Kensaku Mori, Christian Ledig, 2017, ArXiv.

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images

Daniel Rueckert, Muhammad Febrian Rachmadi, Hongwei Li, 2019, Comput. Medical Imaging Graph..

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2009, NeuroImage.

PREDICTION OF PROGRESSION RATES IN AMCI SUBJECTS USING SUBJECT-SPECIFIC STATISTICAL MODELLING

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2016, Alzheimer's & Dementia.

The estimation of patient-specific cardiac diastolic functions from clinical measurements

Sébastien Ourselin, Daniel Rueckert, Pablo Lamata, 2012, Medical Image Anal..

Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation

Daniel Rueckert, Graeme P. Penney, Kevin Keraudren, 2015, FIMH.

Image registration of whole-body mouse MRI

Daniel Rueckert, R. Mark Henkelman, X. Josette Chen, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves

Ben Glocker, Daniel Rueckert, Sarah Parisot, 2016, MICCAI.

Image Processing Workflows Using A Grid Enabled Image Database

Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill, 2004 .

A Novel Algorithm for Heart Motion Analysis Based on Geometric Constraints

Michael Figl, Daniel Rueckert, David J. Hawkes, 2008, MICCAI.

Hierarchical Statistical Shape Analysis and Prediction of Sub-cortical Brain Structures

Daniel Rueckert, Paul Aljabar, Anil Rao, 2007 .

Patch-Based Techniques in Medical Imaging

Daniel Rueckert, Pierrick Coupé, Yiqiang Zhan, 2016, Lecture Notes in Computer Science.

Medical Imaging 2000

Daniel Rueckert, Derek L. G. Hill, Kenneth M. Hanson, 2000 .

Autoadaptive motion modelling

Daniel Rueckert, Andrew P. King, Jamie McClelland, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Non-invasive measurement of left ventricular pressure during systolic ejection period using MR function and tagged images

Daniel Rueckert, David Atkinson, Dlg Hill, 2002 .

Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation

Ben Glocker, Daniel Rueckert, Kensaku Mori, 2017, MLMI@MICCAI.

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

Daniel Rueckert, Stephen M. Smith, Mary A. Rutherford, 2019, NeuroImage.

Simultaneous Reconstruction of 4-D Myocardial Motion from Both Tagged and Untagged MR Images Using Nonrigid Image Registration

Daniel Rueckert, Maria Murgasova, Philip J. Edwards, 2010, MIAR.

Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI

Guang Yang, Daniel Rueckert, Pedro Ferreira, 2018, MICCAI.

Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning

Daniel Rueckert, Wenjia Bai, Andrew P. King, 2015, MICCAI.

Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography.

Daniel Rueckert, James P. Howard, Jamil Mayet, 2020, Journal of medical artificial intelligence.

Automated quantification and analysis of facial asymmetry in children with arthritis in the temporomandibular joint

Tron A. Darvann, Hildur Ólafsdóttir, Nuno V. Hermann, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Construction of 3D Statistical Deformation Models of the Brain using Non-Rigid Registration

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2003, IEEE Trans. Medical Imaging.

Detecting the onset of myocardial contraction for establishing inverse electro-mechanical coupling in XMR guided RF ablation

Kawal S. Rhode, Daniel Rueckert, Raghavendra Chandrashekara, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

An optimised tract-based spatial statistics protocol for neonates: Applications to prematurity and chronic lung disease

Daniel Rueckert, Mary A. Rutherford, Tomoki Arichi, 2010, NeuroImage.

A Multi-resolution Multi-model Method for Coronary Centerline Extraction Based on Minimal Path

Daniel Rueckert, Sébastien Ourselin, Xiahai Zhuang, 2016, MIAR.

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, IEEE Transactions on Medical Imaging.

Semantic Parsing of Brain MR Images

Daniel Rueckert, Christian Ledig, D. Rueckert, 2016 .

A multivariate statistical analysis of the developing human brain in preterm infants

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2007, Image Vis. Comput..

Multiple Sclerosis Lesion Segmentation Using Dictionary Learning and Sparse Coding

Daniel Rueckert, Anil Rao, Nick Weiss, 2013, MICCAI.

Automatic volumetry can reveal visually undetected disease features on brain MR images in temporal lobe epilepsy

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Geodesic Patch-Based Segmentation

Ben Glocker, Daniel Rueckert, Kensaku Mori, 2014, MICCAI.

Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II

Daniel Rueckert, Guang-Zhong Yang, Christopher J. Taylor, 2017, Lecture Notes in Computer Science.

Automatic Extraction and Matching of Neonatal Cerebral Vasculature from MRA-TOF Images

Daniel Rueckert, Christina Malamateniou, Joseph V. Hajnal, 2006 .

Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies

Daniel Rueckert, Paul Aljabar, Wenjia Bai, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Geometrically Deformable Templates for Shape-Based Segmentation and Tracking in Cardiac MR Images

Daniel Rueckert, Peter Burger, D. Rueckert, 1997, EMMCVPR.

Bayesian Deep Learning for Accelerated MR Image Reconstruction

Daniel C. Castro, Daniel Rueckert, Joseph V. Hajnal, 2018, MLMIR@MICCAI.

Segmentation of MR images via discriminative dictionary learning and sparse coding: Application to hippocampus labeling

Daniel Rueckert, Pierrick Coupé, Joseph V. Hajnal, 2013, NeuroImage.

Learning and Discovery of Clinically Useful Information from Images

Daniel Rueckert, 2011, Bildverarbeitung für die Medizin.

Contour fitting using stochastic and probabilistic relaxation for Cine MR Images

Daniel Rueckert, Peter Burger, 1995 .

Fast Spatio-temporal Free-Form Registration of Cardiac MR Image Sequences

Daniel Rueckert, Raad Mohiaddin, Dimitrios Perperidis, 2004, FIMH.

Respiratory motion correction for 2D cine cardiac MR images using probabilistic edge maps

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2016, 2016 Computing in Cardiology Conference (CinC).

Multiple instance learning for classification of dementia in brain MRI

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2014, Medical Image Anal..

Real-Time Standard Scan Plane Detection and Localisation in Fetal Ultrasound Using Fully Convolutional Neural Networks

Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz, 2016, MICCAI.

Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation

Daniel Rueckert, Sarah Parisot, Salim Arslan, 2016, MICCAI.

Registration-based interpolation

Max A. Viergever, Daniel Rueckert, Graeme P. Penney, 2004, IEEE Transactions on Medical Imaging.

Image guidance for robotic minimally invasive coronary artery bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2010, Comput. Medical Imaging Graph..

Probabilistic white matter and fiber tract atlas construction

Daniel Rueckert, Alexander Hammers, Emma C. Robinson, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Learning osteoarthritis imaging biomarkers using Laplacian eigenmap embeddings with data from the OAI

Daniel Rueckert, Claire R. Donoghue, Anil Rao, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Automatic morphometry in Alzheimer's disease and mild cognitive impairment☆☆☆

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2011, NeuroImage.

Regional analysis of FDG-PET for use in the classification of Alzheimer'S Disease

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Hierarchical Statistical Shape Analysis and Prediction of Sub-Cortical Brain Structures

Daniel Rueckert, Timothy F. Cootes, Anil Rao, 2006, CVPR Workshops.

Construction of a 4D atlas of the developing brain using non-rigid registration

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multiple instance learning for classification of dementia in brain MRI

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2013, Medical Image Anal..

Fast Catheter Segmentation From Echocardiographic Sequences Based on Segmentation From Corresponding X-Ray Fluoroscopy for Cardiac Catheterization Interventions

YingLiang Ma, Xianliang Wu, Richard James Housden, 2015, IEEE Transactions on Medical Imaging.

Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI

Daniel Rueckert, Sarah Parisot, Salim Arslan, 2015, IPMI.

Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface

Daniel Rueckert, Amir Alansary, Alexey Zakharov, 2020, UNSURE/GRAIL@MICCAI.

Automatic Shadow Detection in 2D Ultrasound

Jeremy Tan, Daniel Rueckert, Bernhard Kainz, 2018 .

Positional normalization as a first step in processing magnetic resonance brain images: work in progress

Daniel Rueckert, Alexander Hammers, Rolf A. Heckemann, 2013 .

Cardiac motion tracking in tagged MR images using a 4D B-spline motion model and nonrigid image registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images

Daniel Rueckert, Chen Chen, Wenjia Bai, 2019, Frontiers in Cardiovascular Medicine.

Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI pdf

Daniel Rueckert, Shuo Wang, Chen Qin, 2020, MICCAI.

Ultrasound Video Summarization using Deep Reinforcement Learning

Daniel Rueckert, Bernhard Kainz, Qingjie Meng, 2020, MICCAI.

Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease

Paul M. Thompson, Daniel Rueckert, Robin Wolz, 2012, NeuroImage.

Flow Analysis in Cardiac Chambers Combining Phase Contrast, 3D Tagged and Cine MRI

Daniel Rueckert, Reza Razavi, Tobias Schaeffter, 2013, FIMH.

Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

Alejandro F. Frangi, Daniel Rueckert, Wiro J. Niessen, 2002, IEEE Transactions on Medical Imaging.

Stefanos Zafeiriou, Daniel Rueckert, Christian Ledig, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, STACOM@MICCAI.

Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning

Daniel Rueckert, Alexander Schmidt-Richberg, Christian Ledig, 2015, MLMI.

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain

Daniel Rueckert, John Cupitt, Turkay Kart, 2020, MIDL.

Registration Using Sparse Free-Form Deformations

Daniel Rueckert, Haiyan Wang, Xiahai Zhuang, 2012, MICCAI.

Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks

Daniel Rueckert, Alexander Hammers, Christopher Bowles, 2018, Medical Imaging.

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Daniel Rueckert, Zehan Wang, Wenzhe Shi, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2019, Journal of Cardiovascular Magnetic Resonance.

Prediction of Clinical Information from Cardiac MRI Using Manifold Learning

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, FIMH.

Motion tracking of left ventricle and coronaries in 4D CTA

Sébastien Ourselin, Daniel Rueckert, Xiahai Zhuang, 2011, Medical Imaging.

Deep Learning for Cardiac Image Segmentation: A Review

Daniel Rueckert, Chen Qin, Huaqi Qiu, 2020, Frontiers in Cardiovascular Medicine.

Machine learning meets medical imaging: Learning and discovery of clinically useful information from images

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2013 .

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification

Daniel Rueckert, Jonathan Passerat-Palmbach, Veneta Haralampieva, 2020, ArXiv.

Automatic Segmentation of Different Pathologies from Cardiac Cine MRI Using Registration and Multiple Component EM Estimation

Daniel Rueckert, Sébastien Ourselin, Xiahai Zhuang, 2011, FIMH.

Cascade Registration of Micro CT Volumes Taken in Multiple Resolutions

Daniel Rueckert, Hirohisa Oda, Masahiro Oda, 2016, MIAR.

Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis

Daniel Rueckert, Polina Golland, 2007, IEEE Trans. Medical Imaging.

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction

Daniel Rueckert, Chen Chen, Yike Guo, 2019, MICCAI.

Using a Maximum Uncertainty LDA-Based Approach to Classify and Analyse MR Brain Images

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2004, MICCAI.

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2015, Medical Image Anal..

Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI

Daniel Rueckert, Bernhard Kainz, Christina Malamateniou, 2014, MICCAI.

Segmentation of Traumatic Brain Injuries with Convolutional Neural Networks

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2015 .

The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction

Daniel Rueckert, Sean P. Fitzgibbon, Emma C. Robinson, 2017, NeuroImage.

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation

Daniel Rueckert, Alexander Hammers, Joanna M. Wardlaw, 2016, SASHIMI@MICCAI.

Complete Fetal Head Compounding from Multi-view 3D Ultrasound

Bishesh Khanal, Daniel Rueckert, Bernhard Kainz, 2019, MICCAI.

Functional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings

Nicolas P. Smith, Daniel Rueckert, Sebastien Ourselin, 2013 .

Quantifying brain development in early childhood using segmentation and registration

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, SPIE Medical Imaging.

Learning-Based Quality Control for Cardiac MR Images

Ben Glocker, Daniel Rueckert, Paul M. Matthews, 2018, IEEE Transactions on Medical Imaging.

A Probabilistic Framework to Infer Brain Functional Connectivity from Anatomical Connections

Daniel Rueckert, Fani Deligianni, Gaël Varoquaux, 2011, IPMI.

Extracting Discriminative Information from Medical Images: A Multivariate Linear Approach

Carlos E. Thomaz, Duncan Fyfe Gillies, Daniel Rueckert, 2006, 2006 19th Brazilian Symposium on Computer Graphics and Image Processing.

Automatic Segmentation of the Left Atrium

Daniel Rueckert, Raad H. Mohiaddin, Rashed Karim, 2007 .

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

Sébastien Ourselin, Daniel Rueckert, Marc Modat, 2016, IEEE Transactions on Biomedical Engineering.

Fast Deformable Image Registration with Non-smooth Dual Optimization

Daniel Rueckert, Terry M. Peters, Aaron Fenster, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment

Daniel Rueckert, Andrew P. King, Paul K. Marsden, 2014, Medical Image Anal..

Photo-consistency registration of a 4D cardiac motion model to endoscopic video for image guidance of robotic coronary artery bypass

Michael Figl, Daniel Rueckert, Philip J. Edwards, 2009, Medical Imaging.

Causal Future Prediction in a Minkowski Space-Time pdf

Daniel Rueckert, Bernhard Kainz, Athanasios Vlontzos, 2020, ArXiv.

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients

Eric Kerfoot, Daniel Rueckert, Wenjia Bai, 2018, Medical Image Anal..

Computational Anatomy for Multi-Organ Analysis in Medical Imaging: A Review

Daniel Rueckert, Yoshinobu Sato, Marius George Linguraru, 2018, Medical Image Anal..

Towards Left Ventricular Scar Localisation Using Local Motion Descriptors

Daniel Rueckert, Wenjia Bai, Andrew P. King, 2015, STACOM@MICCAI.

A spatio-temporal reference model of the aging brain

Daniel Rueckert, Stefan Klein, Wiro J. Niessen, 2018, NeuroImage.

Patch-Based Evaluation of Image Segmentation

Daniel Rueckert, Wenjia Bai, Christian Ledig, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Daniel Rueckert, Joseph V. Hajnal, Alexander Hammers, 2007, MICCAI.

Learning Cross-domain Generalizable Features by Representation Disentanglement pdf

Daniel Rueckert, Bernhard Kainz, Qingjie Meng, 2020, ArXiv.

Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.

Daniel Rueckert, Xiahai Zhuang, Wenjia Bai, 2015, Medical physics.

4D Cardiac Volume Reconstruction from Free-Breathing 2D Real-Time Image Acquisitions using Iterative Motion Correction

Daniel Rueckert, Joseph V. Hajnal, Martin Jantsch, 2012, ICCSW.

4D Blood Flow Reconstruction Over the Entire Ventricle From Wall Motion and Blood Velocity Derived From Ultrasound Data

Nicolas P. Smith, Daniel Rueckert, Graeme P. Penney, 2015, IEEE Transactions on Medical Imaging.

Hierarchical Manifold Learning

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2012, MICCAI.

Automatic segmentation and reconstruction of the cortex from neonatal MRI

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, NeuroImage.

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Daniel Rueckert, Bernhard Kainz, Qingjie Meng, 2020, IEEE Transactions on Medical Imaging.

Nonrigid Registration of Medical Images: Theory, Methods, and Applications [Applications Corner]

Daniel Rueckert, Paul Aljabar, 2010, IEEE Signal Processing Magazine.

Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 1999, MICCAI.

Comparison of Cardiac Motion Fields from Tagged and Untagged MR Images Using Nonrigid Registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2005, FIMH.

Solution for Entropy driven g-factor Correction at any Speedup

Daniel Rueckert, David J. Larkman, J Hajnal, 2004 .

Automatic segmentation and identification of solitary pulmonary nodules on follow-up CT scans based on local intensity structure analysis and non-rigid image registration

Bin Chen, Daniel Rueckert, Yoshihiko Nakamura, 2011, Medical Imaging.

Investigation of intraoperative brain deformation using a 1.5-T interventional MR system: preliminary results

Haiying Liu, Daniel Rueckert, David J. Hawkes, 1998, IEEE Transactions on Medical Imaging.

Modelling structural changes in the developing Human Connectome Project with connectivity blueprints

Daniel Rueckert, Stamatios N. Sotiropoulos, Matteo Bastiani, 2019 .

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers pdf

Bishesh Khanal, Daniel Rueckert, Bernhard Kainz, 2018, DATRA/PIPPI@MICCAI.

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, BrainLes@MICCAI.

Contour Fitting using an Adaptive Spline Model

Daniel Rueckert, Peter Burger, 1995, BMVC.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging

Daniel Rueckert, Stephen M. Smith, Anthony N. Price, 2019 .

Catheter tracking in 3D echocardiographic sequences based on tracking in 2D X-ray sequences for cardiac catheterization interventions

YingLiang Ma, Xianliang Wu, Richard James Housden, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Automatic Segmentation of Left Atrial Geometry from Contrast-Enhanced Magnetic Resonance Images Using a Probabilistic Atlas

Daniel Rueckert, Nicholas S. Peters, Christoph Juli, 2010, STACOM/CESC.

High-Performance Motion Correction of Fetal MRI

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2016, EuroRV³@EuroVis.

A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

Haiying Liu, Daniel Rueckert, David J. Hawkes, 2001, MICCAI.

3D cardiac cine reconstruction from free-breathing 2D real-time image acquisitions using iterative motion correction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Supervoxel Classification Forests for Estimating Pairwise Image Correspondences

Ben Glocker, Daniel Rueckert, Kensaku Mori, 2015, MLMI.

Intelligent image synthesis to attack a segmentation CNN using adversarial learning

Daniel Rueckert, Liang Chen, Kensaku Mori, 2019, SASHIMI@MICCAI.

A Robust Mosaicing Method with Super-Resolution for Optical Medical Images

Jie Liu, Michael Figl, Zhenjiang Miao, 2010, MIAR.

Hybrid Decision Forests for Prostate Segmentation in Multi-channel MR Images

Daniel Rueckert, Yipeng Hu, Akshay Asthana, 2014, 2014 22nd International Conference on Pattern Recognition.

Signal Processing Society

Nico Karssemeijer, Milan Sonka, Daniel Rueckert, 2009 .

Hippocampal atrophy rate using an expectation maximization classifier with a disease-specific prior

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

Loïc Le Folgoc, Konstantinos Kamnitsas, Amir Alansary, 2018, MICCAI.

Supervoxel Classification Forests for Estimating Pairwise Image Correspondences

Ben Glocker, Daniel Rueckert, Kensaku Mori, 2015, Machine Learning for Multimodal Interaction.

A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2013, IEEE Transactions on Medical Imaging.

Differential Dementia Diagnosis on Incomplete Data with Latent Trees

Jyrki Lötjönen, Daniel Rueckert, Christian Ledig, 2016, MICCAI.

Evaluation of automatic neonatal brain segmentation algorithms: The NeoBrainS12 challenge

Brian B. Avants, Max A. Viergever, Daniel Rueckert, 2015, Medical Image Anal..

Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, ShapeMI@MICCAI.

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction pdf

Daniel Rueckert, Chen Qin, Jo Schlemper, 2020, ArXiv.

Identifying population differences in whole-brain structural networks: A machine learning approach

Daniel Rueckert, Alexander Hammers, Emma C. Robinson, 2010, NeuroImage.

Automatical vessel wall detection in intravascular coronary OCT

Daniel Rueckert, Philip J. Edwards, Kai-Pin Tung, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multi-organ Segmentation from 3D Abdominal CT Images using Patient-Specic

Chengwen Chu, Daniel Rueckert, Yuichiro Hayashi, 2017 .

Construction of a fetal spatio-temporal cortical surface atlas from in utero MRI: Application of spectral surface matching

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2015, NeuroImage.

Evaluation of 3D Face Recognition Using Registration and PCA

Daniel Rueckert, Theodoros Papatheodorou, D. Rueckert, 2005, AVBPA.

Flexible Conditional Image Generation of Missing Data with Learned Mental Maps pdf

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2019, MLMIR@MICCAI.

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation pdf

Daniel Rueckert, Chen Chen, Wenjia Bai, 2019, STACOM@MICCAI.

Daniel Rueckert, Joanna M. Wardlaw, Maria del C. Valdés Hernández, 2019, Comput. Medical Imaging Graph..

Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging

Hervé Delingette, Kawal S. Rhode, Daniel Rueckert, 2005, Medical Image Anal..

Statistical Finite Element Model for Bone Shape and Biomechanical Properties

Daniel Rueckert, Lutz-Peter Nolte, Miguel Ángel González Ballester, 2006, MICCAI.

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI

Konstantinos Kamnitsas, Amir Alansary, Ben Glocker, 2016, MICCAI.

Laplacian Eigenmaps Manifold Learning for Landmark Localization in Brain MR Images

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2011, MICCAI.

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex

Daniel Rueckert, Sarah Parisot, Emma C. Robinson, 2017, NeuroImage.

A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi

Daniel Rueckert, Paul A. Yushkevich, James C. Gee, 2010, WBIR.

Non-rigid Spatio-Temporal Alignment of 4D Cardiac MR Images

Daniel Rueckert, Raad Mohiaddin, Dimitrios Perperidis, 2003, WBIR.

Solving MRF Minimization by Mirror Descent

Berç Rustem, Daniel Rueckert, Panos Parpas, 2012, ISVC.

Automatic anatomical brain MRI segmentation combining label propagation and decision fusion

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2006, NeuroImage.

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks

Daniel Rueckert, Bernhard Kainz, Joseph V. Hajnal, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Describing the variation in complex bone shapes

Daniel Rueckert, Anthony M. J. Bull, Adam M. Hill, 2006 .

LEAP: Learning embeddings for atlas propagation

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2010, NeuroImage.

Knowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images

Daniel Rueckert, Peter Burger, Gerardo I. Sanchez-Ortiz, 1999, Medical Image Anal..

Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

Bishesh Khanal, Amir Alansary, Daniel Rueckert, 2018, MICCAI.

Automatic construction of 3D statistical shape models using non-rigid registration

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2003 .

Robust segmentation of brain structures in MRI

Daniel Rueckert, Joseph V. Hajnal, A. David Edwards, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fast and robust extraction of hippocampus from MR images for diagnostics of Alzheimer's disease

Jyrki Lötjönen, Daniel Rueckert, Robin Wolz, 2011, NeuroImage.

Construction of a Statistical Model for Cardiac Motion Analysis Using Nonrigid Image Registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2003, IPMI.

A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2018, MICCAI.

Manifold learning for automatically predicting articular cartilage morphology in the knee with data from the osteoarthritis initiative (OAI)

Daniel Rueckert, Claire R. Donoghue, Anil Rao, 2011, Medical Imaging.

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets

Daniel Rueckert, Wenjia Bai, Andrew P. King, 2017, MICCAI.

Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests

Daniel Rueckert, Andreas Maier, Wenjia Bai, 2017, Journal of medical engineering.

Registration-Based Interpolation Using a High-Resolution Image for Guidance

Daniel Rueckert, David J. Hawkes, Graeme P. Penney, 2004, MICCAI.

Building a 4D atlas of the cardiac anatomy and motion using MR imaging

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Automated measurement of local white matter lesion volume

Daniel Rueckert, Stefan Klein, Marleen de Bruijne, 2012, NeuroImage.

Spatio-Temporal Maps of T1 and T2 Weighted Signal Intensity Change in the Developing Brain

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2011 .

Learning Attention from Multi-Modal Imaging and Text: Application for Lesion Localisation in DWI

Liang Chen, Daniel Rueckert, Giovanni Montana, 2018 .

Magnetic Resonance Imaging of the Newborn Brain: Automatic Segmentation of Brain Images into 50 Anatomical Regions

Daniel Rueckert, Mary A. Rutherford, Alexander Hammers, 2013, PloS one.

Construction of a patient-specific atlas of the brain: Application to normal aging

Daniel Rueckert, Paul Aljabar, Anders Ericsson, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Inference of functional connectivity from structural brain connectivity

Daniel Rueckert, Fani Deligianni, David J. Sharp, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data

Daniel Rueckert, Thomas E. Nichols, Mark Jenkinson, 2006, NeuroImage.

dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance pdf

Daniel Rueckert, Joseph V. Hajnal, Jinming Duan, 2019, ArXiv.

Carlos E. Thomaz, Gilson A. Giraldi, Daniel Rueckert, 2019, IET Image Process..

Automatic Shadow Detection in 2D Ultrasound Images

Jeremy Tan, Daniel Rueckert, Bernhard Kainz, 2018, DATRA/PIPPI@MICCAI.

Distortion Correction in Fetal EPI Using Non-Rigid Registration With a Laplacian Constraint

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2016, IEEE Transactions on Medical Imaging.

Fully Convolutional Networks in Medical Imaging: Applications to Image Enhancement and Recognition

Daniel Rueckert, Ozan Oktay, Christian F. Baumgartner, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge pdf

Daniel Rueckert, Xiahai Zhuang, Gongning Luo, 2020, ArXiv.

Metric learning with spectral graph convolutions on brain connectivity networks

Ben Glocker, Daniel Rueckert, Martin Rajchl, 2018, NeuroImage.

Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

FPGA-based computation of free-form deformations

Daniel Rueckert, Wayne Luk, Jun Jiang, 2002, 2002 IEEE International Conference on Field-Programmable Technology, 2002. (FPT). Proceedings..

Regional growth and atlasing of the developing human brain

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2016, NeuroImage.

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction pdf

Guang Yang, Daniel Rueckert, Andreas K. Maier, 2018, MICCAI.

Localisation of the Brain in Fetal MRI Using Bundled SIFT Features

Daniel Rueckert, Kevin Keraudren, Mary A. Rutherford, 2013, MICCAI.

Image segmentation by stochastically relaxing contour fitting

Daniel Rueckert, Klaus D. Toennies, D. Rueckert, 1994, Medical Imaging.

Abnormal deep grey matter development following preterm birth detected using deformation-based morphometry

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2006, NeuroImage.

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines pdf

Ben Glocker, Daniel Rueckert, Paul M. Matthews, 2018, ArXiv.

A repository of MR morphometry data in Alzheimer's disease and mild cognitive impairment

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Machine Learning in Medical Imaging

Daniel Rueckert, Christina Malamateniou, Paul Aljabar, 2014, Lecture Notes in Computer Science.

Longitudinal Cortical Registration for Developing Neonates

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, MICCAI.

Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes pdf

Ben Glocker, Daniel Rueckert, Juan J. Cerrolaza, 2018, MLMI@MICCAI.

LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images

Bishesh Khanal, Daniel Rueckert, Joseph V. Hajnal, 2018, DATRA/PIPPI@MICCAI.

A Framework for Detailed Objective Comparison of Non-rigid Registration Algorithms in Neuroimaging

Daniel Rueckert, Stephen M. Smith, Mark Jenkinson, 2004, MICCAI.

Corrigendum to “An evaluation of four automatic methods of segmenting the subcortical structures in the brain” [NeuroImage 47 (2009) 1435–1447]

Daniel Rueckert, Timothy F. Cootes, Stephen M. Smith, 2010, NeuroImage.

Spatio-temporal Alignment of 4D Cardiac MR Images

Daniel Rueckert, Raad Mohiaddin, Dimitrios Perperidis, 2003, FIMH.

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation

Daniel Rueckert, Chen Qin, Christian Ledig, 2016, MLMI@MICCAI.

Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2015 .

Coronary Motion Modelling for Augmented Reality Guidance of Endoscopic Coronary Artery Bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2008, ISBMS.

Three-dimensional cardiovascular image analysis

Alejandro F. Frangi, Daniel Rueckert, James S. Duncan, 2002, IEEE Transactions on Medical Imaging.

Shape-based segmentation and tracking in 4D cardiac MR images

Daniel Rueckert, Peter Burger, D. Rueckert, 1997, CVRMed.

Computation on shape manifold for atlas generation: application to whole heart segmentation of cardiac MRI

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2013, Medical Imaging.

2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments pdf

Daniel Rueckert, Jonathan Passerat-Palmbach, Harry Cai, 2020, ArXiv.

Registration of multiple video images to preoperative CT for image-guided surgery

Daniel Rueckert, Derek L. G. Hill, David John Hawkes, 1999, Medical Imaging.

Segmentation of subcortical structures and the hippocampus in brain MRI using graph-cuts and subject-specific a-priori information

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic extraction and matching of neonatal cerebral vasculature

Daniel Rueckert, Christina Malamateniou, Joseph V. Hajnal, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Reconfigurable acceleration of 3D image registration

Daniel Rueckert, Wayne Luk, Kuen Hung Tsoi, 2009, 2009 5th Southern Conference on Programmable Logic (SPL).

IXI Dataset replica

Daniel Rueckert, 2016 .

Comparison of Brain Networks with Unknown Correspondences pdf

Daniel Rueckert, Sarah Parisot, Sofia Ira Ktena, 2016, ArXiv.

Assessment of Intraoperative Brain Deformation Using Interventional MR Imaging

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 1999, MICCAI.

Automated fetal brain segmentation from 2D MRI slices for motion correction

Daniel Rueckert, Bernhard Kainz, Christina Malamateniou, 2014, NeuroImage.

Automatic quantification of CT images for traumatic brain injury

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Exploiting hierarchy in structural brain networks

Daniel Rueckert, Fani Deligianni, David J. Sharp, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Atlas-Based Segmentation and Tracking of 3D Cardiac MR Images Using Non-rigid Registration

Daniel Rueckert, Raad Mohiaddin, Gerardo I. Sanchez-Ortiz, 2002, MICCAI.

3D Probabilistic Segmentation and Volumetry from 2D projection images pdf

Daniel Rueckert, Bernhard Kainz, Benjamin Hou, 2020, TIA@MICCAI.

Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation.

Daniel Rueckert, Dimitris N. Metaxas, Xenophon Papademetris, 2020, Annual review of biomedical engineering.

A Weighted Mirror Descent Algorithm for Nonsmooth Convex Optimization Problem

Berç Rustem, Daniel Rueckert, Panos Parpas, 2016, J. Optim. Theory Appl..

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

Daniel Rueckert, Marc Modat, Andrew Melbourne, 2015, IEEE Transactions on Medical Imaging.

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image pdf

Daniel Rueckert, Chen Qin, Wenjia Bai, 2018, MLMIR@MICCAI.

Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework

Daniel Rueckert, Robin Wolz, Tong Tong, 2012, MCV.

Beyond the g-factor limit using joint entropy

Daniel Rueckert, Philip Batchelor, David J. Larkman, 2004 .

Inference of functional connectivity from direct and indirect structural brain connections

Daniel Rueckert, Fani Deligianni, David J. Sharp, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection pdf

Liang Chen, Ben Glocker, Daniel Rueckert, 2018, MICCAI 2018.

Nonrigid free-form registration using landmark-based statistical deformation models

Daniel Rueckert, Ricardo Guerrero, Luis Pizarro, 2012, Medical Imaging.

Machine Learning in Medical Imaging

Daniel Rueckert, Paul Aljabar, Alexander Hammers, 2011, Lecture Notes in Computer Science.

A dynamic approach to the recognition of 3D facial expressions and their temporal models

Stefanos Zafeiriou, Daniel Rueckert, Maja Pantic, 2011, Face and Gesture 2011.

Improving whole-brain segmentations through incorporating regional image intensity statistics

Daniel Rueckert, Alexander Hammers, Rolf A. Heckemann, 2013, Medical Imaging.

3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit

Daniel Rueckert, Maria Lorenzo-Valdés, Robert M. Lapp, 2004, MICCAI.

Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks

Konstantinos Kamnitsas, Daniel Rueckert, Declan P. O'Regan, 2016, MICCAI.

Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex

Daniel Rueckert, William M. Wells, Sarah Parisot, 2015, IPMI.

Fast Brain-Wide Search of Highly Discriminative Regions in Medical Images: an Application to Alzheimers Disease

Daniel Rueckert, Robin Wolz, Giovanni Montana, 2011, MIUA.

Group-wise parcellation of the cortex through multi-scale spectral clustering

Daniel Rueckert, Sarah Parisot, Jonathan Passerat-Palmbach, 2016, NeuroImage.

Fetal Skull Reconstruction via Deep Convolutional Autoencoders

Daniel Rueckert, Juan J. Cerrolaza, Matthew Sinclair, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Modeling the brain morphology distribution in the general aging population

Daniel Rueckert, Stefan Klein, Wiro J. Niessen, 2016, SPIE Medical Imaging.

High-resolution contrast enhanced multi-phase hepatic Computed Tomography data fromaporcine Radio-Frequency Ablation study

Daniel Rueckert, Dieter Schmalstieg, Bernhard Kainz, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Discrete Optimisation for Group-Wise Cortical Surface Atlasing

Ben Glocker, Daniel Rueckert, Martin Rajchl, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Measuring atrophy by simultaneous segmentation of serial MR images using 4-D graph-cuts

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2001, MICCAI.

Registration and tracking to integrate X-ray and MR images in an XMR Facility

Kawal S. Rhode, Daniel Rueckert, John H. Hipwell, 2003, IEEE Transactions on Medical Imaging.

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation

Daniel Rueckert, Pablo Lamata, Reza Razavi, 2011, FIMH.

A Multi-image Graph Cut Approach for Cardiac Image Segmentation and Uncertainty Estimation

Sébastien Ourselin, Daniel Rueckert, Haiyan Wang, 2011, STACOM.

FPGA-based computation of free-form deformations in medical image registration

Daniel Rueckert, Wayne Luk, Jun Jiang, 2003, Proceedings. 2003 IEEE International Conference on Field-Programmable Technology (FPT) (IEEE Cat. No.03EX798).

Learning and Combining Image Similarities for Neonatal Brain Population Studies

Ben Glocker, Daniel Rueckert, Mary A. Rutherford, 2015, MLMI.

Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection

Daniel Rueckert, Aurélien Bustin, Ilkay Öksüz, 2018, MICCAI.

Manifold-based classification incorporating subject metadata

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2011, MIUA.

VS-Net: Variable splitting network for accelerated parallel MRI reconstruction pdf

Daniel Rueckert, Declan P. O'Regan, Chen Qin, 2019, MICCAI.

Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia

Daniel Rueckert, Paul Aljabar, William R. Crum, 2008, MICCAI.

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration

Arno Klein, Brian B. Avants, D. Louis Collins, 2009, NeuroImage.

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2014, IEEE Transactions on Medical Imaging.

Evaluating reinforcement learning agents for anatomical landmark detection

Loïc Le Folgoc, Konstantinos Kamnitsas, Amir Alansary, 2019, Medical Image Anal..

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling

Konstantinos Kamnitsas, Daniel Rueckert, Mary A. Rutherford, 2020, MIDL.

Construction of a neonatal cortical surface atlas using multimodal surface matching

Daniel Rueckert, Sean P. Fitzgibbon, Mark Jenkinson, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Automatic segmentation of brain MRIs of 2-year-olds into 83 regions of interest

Daniel Rueckert, Alexander Hammers, I. S. Gousias, 2008, NeuroImage.

Consistent and robust 4D whole-brain segmentation: Application to traumatic brain injury

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Automatic Quantification of Changes in Bone in Serial MR Images of Joints

Daniel Rueckert, Joseph V. Hajnal, Derek L. G. Hill, 2006, IEEE Transactions on Medical Imaging.

Geodesic Information Flows

Sébastien Ourselin, Daniel Rueckert, Marc Modat, 2012, MICCAI.

Generalised Overlap Measures for Assessment of Pairwise and Groupwise Image Registration and Segmentation

Daniel Rueckert, Oscar Camara, Derek L. G. Hill, 2005, MICCAI.

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Ben Glocker, Daniel Rueckert, Hideaki Suzuki, 2017, MICCAI.

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images

Bishesh Khanal, Amir Alansary, Ben Glocker, 2017, IEEE Transactions on Medical Imaging.

A deformable model for the reconstruction of the neonatal cortex

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2017, IEEE Transactions on Medical Imaging.

Generalising Deep Learning MRI Reconstruction across Different Domains pdf

Daniel Rueckert, Joseph V. Hajnal, Anthony N. Price, 2019, ArXiv.

Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2013, MICCAI.

Automatic left ventricular outflow tract classification for accurate cardiac MR planning

Daniel Rueckert, Ilkay Öksüz, Julia A. Schnabel, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Cerebral atrophy measurements using Jacobian integration: Comparison with the boundary shift integral

Daniel Rueckert, Jennifer L. Whitwell, Paul Aljabar, 2006, NeuroImage.

A Dynamic Brain Atlas

Daniel Rueckert, Stephen M. Smith, Joseph V. Hajnal, 2002, MICCAI.

Learning and combining image neighborhoods using random forests for neonatal brain disease classification

Ben Glocker, Daniel Rueckert, Miguel Ángel González Ballester, 2017, Medical Image Anal..

Fast generation of digitally reconstructed radiographs using attenuation fields with application to 2D-3D image registration

Daniel Rueckert, Kensaku Mori, Torsten Rohlfing, 2005, IEEE Transactions on Medical Imaging.

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy pdf

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2018, ArXiv.

3D analysis: Registration of biomedical images

Daniel Rueckert, David J. Hawkes, 2000 .

Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity

Ben Glocker, Daniel Rueckert, Sofia Ira Ktena, 2018, GRAIL/Beyond-MIC@MICCAI.

Multi-organ Abdominal CT Segmentation Using Hierarchically Weighted Subject-Specific Atlases

Chengwen Chu, Daniel Rueckert, Robin Wolz, 2012, MICCAI.

Learning clinically useful information from images: Past, present and future

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2016, Medical Image Anal..

Patch-Based Techniques in Medical Imaging

Daniel Rueckert, Pierrick Coupé, Guorong Wu, 2015, Lecture Notes in Computer Science.

GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks pdf

Liang Chen, Daniel Rueckert, Alexander Hammers, 2018, ArXiv.

Hierarchy in Anatomical Brain Networks Derived from Diffusion Weighted Images in 64 and 15 Directions

Daniel Rueckert, Fani Deligianni, Daniel C. Alexander, 2012 .

An Evaluation of Deformation-Based Morphometry Applied to the Developing Human Brain and Detection of Volumetric Changes Associated with Preterm Birth

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2003, MICCAI.

Information Processing in Medical Imaging (IPMI)

Daniel Rueckert, Andrew P. King, Christian F. Baumgartner, 2013 .

A Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2011, IEEE Transactions on Medical Imaging.

Self-Aligning Manifolds for Matching Disparate Medical Image Datasets

Richard James Housden, Daniel Rueckert, Andrew P. King, 2015, IPMI.

Multi-atlas propagation with enhanced registration { MAPER

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2012 .

GANsfer Learning: Combining labelled and unlabelled data for GAN based data augmentation pdf

Daniel Rueckert, Alexander Hammers, Christopher Bowles, 2018, ArXiv.

Multi-atlas segmentation with augmented features for cardiac MR images

Daniel Rueckert, Wenjia Bai, Christian Ledig, 2015, Medical Image Anal..

Erratum to Construction of a consistent high-definition spatio-temporal atlas of the developing brain using adaptive kernel regression [NeuroImage 59/3(2012) 2255–2265]

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2012, NeuroImage.

Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation

Daniel Rueckert, Tong Tong, Akshay Asthana, 2014, Medical Imaging.

Brain Extraction Using Label Propagation and Group Agreement: Pincram

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2015, PloS one.

Knowledge-Based Anisotropic Diffusion of Vector-Valued 4-Dimensional Cardiac MR Images

Daniel Rueckert, Peter Burger, Gerardo I. Sanchez-Ortiz, 1996, BMVC.

Adaptive scan strategies for fetal MRI imaging using slice to volume techniques

Daniel Rueckert, Jan Egger, Bernhard Kainz, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Groupwise Combined Segmentation and Registration for Atlas Construction

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2007, MICCAI.

Coronary Motion Estimation from CTA Using Probability Atlas and Diffeomorphic Registration

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2010, MIAR.

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

Ben Glocker, Daniel Rueckert, Bernhard Kainz, 2018, Medical Image Anal..

The mirror method of assessing segmentation quality in atlas label propagation

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A large margin algorithm for automated segmentation of white matter hyperintensity

Liang Chen, Daniel Rueckert, Joanna M. Wardlaw, 2018, Pattern Recognit..

Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning

Daniel C. Castro, Daniel Rueckert, Joseph V. Hajnal, 2018, MICCAI.

Non-rigid registration of cardiac MR: application to motion modelling and atlas-based segmentation

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI

Daniel Rueckert, Joseph V. Hajnal, Chen Qin, 2019, MICCAI.

Spectral Graph Convolutions for Population-based Disease Prediction

Ben Glocker, Daniel Rueckert, Sofia Ira Ktena, 2017, MICCAI.

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2017, IEEE Transactions on Medical Imaging.

Validation of a Novel Method for the Automatic Segmentation of Left Atrial Scar from Delayed-Enhancement Magnetic Resonance

Kawal S. Rhode, Daniel Rueckert, Reza Razavi, 2011, STACOM.

Segmentation of 4D Cardiac MR Images Using a Probabilistic Atlas and the EM Algorithm

Daniel Rueckert, Raad Mohiaddin, Gerardo I. Sanchez-Ortiz, 2003, MICCAI.

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation

Daniel Rueckert, Xiahai Zhuang, Declan P. O'Regan, 2014, MICCAI.

3D Face Recognition

Daniel Rueckert, Theodoros Papatheodorou, D. Rueckert, 2007 .

Augmented reality image guidance for minimally invasive coronary artery bypass

Michael Figl, Daniel Rueckert, Fernando Bello, 2008, SPIE Medical Imaging.

Multi-class brain segmentation using atlas propagation and EM-based refinement

Jyrki Lötjönen, Daniel Rueckert, Robin Wolz, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Discriminative dictionary learning for abdominal multi-organ segmentation

Daniel Rueckert, Robin Wolz, Kensaku Mori, 2015, Medical Image Anal..

Evaluating Imputation Techniques for Missing Data in ADNI: A Patient Classification Study

Daniel Rueckert, Héctor Allende, Carlos Valle, 2015, CIARP.

Real-Time Catheter Extraction from 2D X-Ray Fluoroscopic and 3D Echocardiographic Images for Cardiac Interventions

YingLiang Ma, Xianliang Wu, Richard James Housden, 2012, STACOM.

Automated Localization of Fetal Organs in MRI Using Random Forests with Steerable Features

Daniel Rueckert, Bernhard Kainz, Kevin Keraudren, 2015, MICCAI.

Coronary artery motion modeling from 3D cardiac CT sequences using template matching and graph search

Daniel Rueckert, Laurent Risser, Coert Metz, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Manifold Learning for Medical Image Registration, Segmentation, and Classification

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2012 .

Regional Analysis of FDG-PET for the Classification of Alzheimers Disease

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2011, MIUA.

Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA

Daniel Rueckert, Laurent Risser, Coert Metz, 2010, WBIR.

CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

Daniel Rueckert, Pier Giorgio Masci, Claudia Prieto, 2020, Scientific Reports.

Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, Medical Image Anal..

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders pdf

Daniel Rueckert, Ilkay Öksüz, James R. Clough, 2019, STACOM@MICCAI.

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

Daniel Rueckert, Jo Schlemper, Timothy J. W. Dawes, 2018, IEEE Transactions on Medical Imaging.

Multiclassifier Fusion in Human Brain MR Segmentation: Modelling Convergence

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2006, MICCAI.

Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning

Liang Chen, Daniel Rueckert, Tong Tong, 2015, MICCAI.

Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II

Daniel Rueckert, Guang-Zhong Yang, Christopher J. Taylor, 2009, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Canonical Correlation Analysis of Sub-cortical Brain Structures Using Non-rigid Registration

Daniel Rueckert, Anil Rao, Kolawole O. Babalola, 2006, WBIR.

Manifold learning combining imaging with non-imaging information

Jyrki Lötjönen, Daniel Rueckert, Joseph V. Hajnal, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Spatial transformation of motion and deformation fields using nonrigid registration

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2004, IEEE Transactions on Medical Imaging.

Multiple Landmark Detection using Multi-Agent Reinforcement Learning

Konstantinos Kamnitsas, Amir Alansary, Daniel Rueckert, 2019, MICCAI.

Automatic Construction of 3D Statistical Deformation Models: Application to Patients with Schizophrenia

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2002, Bildverarbeitung für die Medizin.

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Jesper Andersson, Daniel Rueckert, Mark Jenkinson, 2020, NeuroImage.

Construction of a dynamic 4D probabilistic atlas for the developing brain

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Spatio-Temporal Free-Form Registration of Cardiac MR Image Sequences

Daniel Rueckert, Raad Mohiaddin, Dimitrios Perperidis, 2004, MICCAI.

Comparison and evaluation of rigid and nonrigid registration of breast MR images

Daniel Rueckert, Derek L. G. Hill, Luke I. Sonoda, 1999, Medical Imaging.

Multimodal surface matching with higher-order smoothness constraints

Daniel Rueckert, Stephen M. Smith, Matthew A. Webster, 2017, NeuroImage.

Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia

Daniel Rueckert, Paul Aljabar, Alexander Hammers, 2011, MLMI.

OpenMOLE: a Workflow Engine for Distributed Medical Image Analysis

Daniel Rueckert, Zehan Wang, Romain Reuillon, 2014, HiPC 2014.

Information Extraction from Medical Images (IXI): Developing an e-Science Application Based on the Globus Toolkit

Daniel Rueckert, Thomas Hartkens, Dlg Hill, 2003 .

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

Yuanyuan Wang, Daniel Rueckert, Mitko Veta, 2020, Medical Image Anal..

Non-rigid Reconstruction of the Beating Heart Surface for Minimally Invasive Cardiac Surgery

Michael Figl, Daniel Rueckert, Fernando Bello, 2009, MICCAI.

Fast Reconstruction of Accelerated Dynamic MRI Using Manifold Kernel Regression

Daniel Rueckert, Ying Sun, Joseph V. Hajnal, 2015, MICCAI.

Super-resolution reconstruction of cardiac MRI using coupled dictionary learning

Daniel Rueckert, Joseph V. Hajnal, Kanwal K. Bhatia, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, IPMI.

Non-rigid Registration of Breast MR Images Using Mutual Information

Daniel Rueckert, Colin Studholme, David J. Hawkes, 1998, MICCAI.

Automated morphological analysis of magnetic resonance brain imaging using spectral analysis

Daniel Rueckert, Paul Aljabar, William R. Crum, 2008, NeuroImage.

A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises pdf

Ronald M. Summers, Jerry L. Prince, Daniel Rueckert, 2020, Proceedings of the IEEE.

Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction pdf

Ronald M. Summers, Daniel Rueckert, Chen Qin, 2019, ArXiv.

An evaluation of four automatic methods of segmenting the subcortical structures in the brain

Daniel Rueckert, Timothy F. Cootes, Stephen M. Smith, 2009, NeuroImage.

Discriminating electrocardiographic responses to His-bundle pacing using machine learning

Daniel Rueckert, Fu Siong Ng, Nicholas S. Peters, 2020, Cardiovascular digital health journal.

Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data

Daniel Rueckert, Joseph V. Hajnal, Wenjia Bai, 2014, MICCAI.

Comparison of Cardiac Motion Across Subjects Using Non-rigid Registration

Daniel Rueckert, Raghavendra Chandrashekara, Raad Mohiaddin, 2002, MICCAI.

VTK CISG Registration Toolkit: An Open Source Software Package for Affine and Nonrigid Registration of Single- and Multimodal 3D images

Daniel Rueckert, David J. Hawkes, Derek L. G. Hill, 2002, Bildverarbeitung für die Medizin.

4D motion modeling of the coronary arteries from CT images for robotic assisted minimally invasive surgery

Daniel Rueckert, Philip J. Edwards, Dong Ping Zhang, 2009, Medical Imaging.

Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework

Daniel Rueckert, Christian Ledig, Anil Rao, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Multi‐atlas pancreas segmentation: Atlas selection based on vessel structure

Chengwen Chu, Guoyan Zheng, Daniel Rueckert, 2017, Medical Image Anal..

Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative

Daniel Rueckert, Claire R. Donoghue, Ricardo Guerrero, 2012, MLMI.

Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound

Daniel Rueckert, Bernhard Kainz, Nick Pawlowski, 2019, SUSI/PIPPI@MICCAI.

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks

Ben Glocker, Daniel Rueckert, Martin Rajchl, 2017, MICCAI.

A dynamic 4D probabilistic atlas of the developing brain

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2011, NeuroImage.

Landmark detection and coupled patch registration for cardiac motion tracking

Sébastien Ourselin, Xianliang Wu, Daniel Rueckert, 2013, Medical Imaging.

Privacy-preserving medical image analysis pdf

Daniel Rueckert, Jonathan Passerat-Palmbach, Rickmer Braren, 2020, ArXiv.

Autoadaptive motion modelling for MR‐based respiratory motion estimation

Daniel Rueckert, Andrew P. King, Jamie McClelland, 2017, Medical Image Anal..

Tracking developmental changes in subcortical structures of the preterm brain using multi-modal MRI

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A review on automatic fetal and neonatal brain MRI segmentation

Daniel Rueckert, Serena J. Counsell, Antonios Makropoulos, 2017, NeuroImage.

Simultaneous Multi-scale Registration Using Large Deformation Diffeomorphic Metric Mapping

Daniel Rueckert, François-Xavier Vialard, Laurent Risser, 2011, IEEE Transactions on Medical Imaging.

DeepMedic for Brain Tumor Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, BrainLes@MICCAI.

DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization pdf

Ben Glocker, Daniel Rueckert, Wenjia Bai, 2021, DGM4MICCAI/DALI@MICCAI.

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2021, MLCN@MICCAI.

Differentially private federated deep learning for multi-site medical image segmentation pdf

Daniel Rueckert, Rickmer Braren, Georgios Kaissis, 2021, ArXiv.

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation pdf

Yike Guo, Daniel Rueckert, Chen Qin, 2021, MICCAI.

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2021, UNSURE/PIPPI@MICCAI.

FedRAD: Federated Robust Adaptive Distillation pdf

Amir Alansary, Daniel Rueckert, Matei Grama, 2021, ArXiv.

Voxel-level Importance Maps for Interpretable Brain Age Estimation

Daniel Rueckert, Alexander Hammers, Kyriaki-Margarita Bintsi, 2021, iMIMIC/TDA4MedicalData@MICCAI.

Federated disentangled representation learning for unsupervised brain anomaly detection

Daniel Rueckert, Shadi Albarqouni, Benedikt Wiestler, 2021, Nature Machine Intelligence.

Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging

Daniel Rueckert, Rickmer Braren, Johannes C. Paetzold, 2021, MLMI@MICCAI.

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Daniel Rueckert, Mariya Doneva, Vishal M. Patel, 2021, MLMIR@MICCAI.

End-to-end privacy preserving deep learning on multi-institutional medical imaging

Daniel Rueckert, Jonathan Passerat-Palmbach, Rickmer Braren, 2021, Nature Machine Intelligence.

Sensitivity analysis in differentially private machine learning using hybrid automatic differentiation pdf

Daniel Rueckert, Rickmer Braren, Georgios Kaissis, 2021, ArXiv.

AutoSeg -- Steering the Inductive Biases for Automatic Pathology Segmentation

Daniel Rueckert, Georgios Kaissis, Felix Meissen, 2022 .

Partial sensitivity analysis in differential privacy pdf

Daniel Rueckert, Moritz Knolle, Friederike Jungmann, 2021, ArXiv.

Learning a Model-Driven Variational Network for Deformable Image Registration

Daniel Rueckert, Ales Leonardis, Hyung Jin Chang, 2021, IEEE Transactions on Medical Imaging.

Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps

Jeremy Tan, Ben Glocker, Daniel Rueckert, 2021, MICCAI.

Differentially private training of neural networks with Langevin dynamics forcalibrated predictive uncertainty pdf

Daniel Rueckert, Rickmer Braren, Georgios Kaissis, 2021, ArXiv.

Learning Diffeomorphic and Modality-invariant Registration using B-splines

Daniel Rueckert, Chen Qin, Huaqi Qiu, 2021, MIDL.

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning

Daniel Rueckert, Jonathan Passerat-Palmbach, Ben Glocker, 2021, Nature Machine Intelligence.

Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis

Daniel Rueckert, Wenjia Bai, Ping Lu, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Complex-valued deep learning with differential privacy pdf

Daniel Rueckert, Kerstin Hammernik, Moritz Knolle, 2021, ArXiv.

Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging

Daniel Rueckert, Bernhard Kainz, Qingjie Meng, 2021, IEEE Transactions on Medical Imaging.

Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation pdf

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2021, ArXiv.

Automated Knee X-ray Report Generation pdf

Daniel Rueckert, Aydan Gasimova, Giovanni Montana, 2021, ArXiv.

NeuralDP Differentially private neural networks by design pdf

Daniel Rueckert, Moritz Knolle, Alexander Ziller, 2021, ArXiv.

An automatic differentiation system for the age of differential privacy pdf

Daniel Rueckert, Moritz Knolle, Alexander Ziller, 2021, ArXiv.

Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity

Daniel Rueckert, Emma C. Robinson, Logan Z. J. Williams, 2021, MLCN@MICCAI.

AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis pdf

Guang Yang, Daniel Rueckert, Carola-Bibiane Schönlieb, 2021, Proceedings of the IEEE.

A unified interpretation of the Gaussian mechanism for differential privacy through the sensitivity index pdf

Daniel Rueckert, Moritz Knolle, Friederike Jungmann, 2021, ArXiv.

Reducing Textural Bias Improves Robustness of Deep Segmentation Models

Daniel Rueckert, Ahmed E. Fetit, Seoin Chai, 2021, MIUA.

Multiscale Graph Convolutional Networks for Cardiac Motion Analysis

Daniel Rueckert, Wenjia Bai, J. Alison Noble, 2021, FIMH.

Challenging Current Semi-supervised Anomaly Segmentation Methods for Brain MRI

Daniel Rueckert, Georgios Kaissis, Felix Meissen, 2021, BrainLes@MICCAI.

Efficient, high-performance semantic segmentation using multi-scale feature extraction

Daniel Rueckert, Sebastian Ziegelmayer, Rickmer Braren, 2020, PloS one.

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Daniel Rueckert, Chen Qin, Wenjia Bai, 2021, MICCAI.

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation pdf

Daniel Rueckert, Chen Qin, Wenjia Bai, 2021, ArXiv.

Artificial Intelligence in Medicine and Privacy Preservation

Daniel Rueckert, Jonathan Passerat-Palmbach, Rickmer Braren, 2021, Artificial Intelligence in Medicine.

Efficient Image Registration Network for Non-Rigid Cardiac Motion Estimation

Daniel Rueckert, Thomas Küstner, Kerstin Hammernik, 2021, MLMIR@MICCAI.

Transductive image segmentation: Self-training and effect of uncertainty estimation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2021, DART/FAIR@MICCAI.

Distributed Machine Learning and the Semblance of Trust pdf

Daniel Rueckert, Jonathan Passerat-Palmbach, Alexander Ziller, 2021, ArXiv.

FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation pdf

Daniel Rueckert, Shadi Albarqouni, Benedikt Wiestler, 2021, ArXiv.

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation pdf

Daniel Rueckert, Chen Qin, Wenjia Bai, 2021, IEEE Transactions on Medical Imaging.

Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net

Daniel Rueckert, Bernhard Kainz, Qingjie Meng, 2021, IEEE Transactions on Image Processing.

Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time

Daniel Rueckert, Bernhard Kainz, Reza Razavi, 2021, Prenatal diagnosis.

GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration pdf

Daniel Rueckert, Chen Qin, Kerstin Hammernik, 2021, ArXiv.

Detecting Outliers with Poisson Image Interpolation

Jeremy Tan, Daniel Rueckert, Bernhard Kainz, 2021, MICCAI.

Deep Learning Prediction Of Age And Sex From Optical Coherence Tomography

Daniel Rueckert, Ursula Schmidt-Erfurth, Hrvoje Bogunovic, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning pdf

Daniel Rueckert, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, 2021, ArXiv.

Robustness of automated hippocampal volumetry across magnetic resonance field strengths and repeat images

Daniel Rueckert, Clifford R. Jack, Robin Wolz, 2014, Alzheimer's & Dementia.

Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2012, PloS one.

Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study

Daniel Rueckert, Wenjia Bai, Avan Suinesiaputra, 2019, Scientific Reports.

Endocardial 3D Ultrasound Segmentation using Autocontext Random Forests

Daniel Rueckert, Kevin Keraudren, Joseph V. Hajnal, 2014, The MIDAS Journal.

Distortion correction in fetal EPI using non-rigid registration with Laplacian constraint

Daniel Rueckert, Maria Murgasova, Joseph Hajnal, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Brain connectivity measures improve modeling of functional outcome after acute ischemic stroke

Daniel Rueckert, Sofia Ira Ktena, Natalia S. Rost, 2019, bioRxiv.

Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power

Daniel Rueckert, Giovanni Montana, Wenzhe Shi, 2014, Journal of Cardiovascular Magnetic Resonance.

Sparsity Based Spectral Embedding: Application to Multi-Atlas Echocardiography Segmentation!

Daniel Rueckert, Kevin Keraudren, Ozan Oktay, 2014 .

Longitudinal regional brain volume changes quantified in normal aging and Alzheimer's APP×PS1 mice using MRI

Daniel Rueckert, Thomas Hartkens, Jo V. Hajnal, 2009, Brain Research.

A population-based phenome-wide association study of cardiac and aortic structure and function

Yike Guo, Daniel Rueckert, Florian Guitton, 2020, Nature Medicine.

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks

Liang Chen, Daniel Rueckert, Paul Bentley, 2017, NeuroImage: Clinical.

Injury markers predict time to dementia in subjects with MCI and amyloid pathology

Daniel Rueckert, Robin Wolz, Magda Tsolaki, 2012, Neurology.

Multimodal Surface Matching with Higher-Order Smoothness Constraints

Ben Glocker, Daniel Rueckert, Mark Jenkinson, 2017 .

Differential diagnosis of neurodegenerative diseases using structural MRI data

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2016, NeuroImage: Clinical.

Titin truncating variants affect heart function in disease cohorts and the general population

Daniel Rueckert, Carlo Biffi, Antonio de Marvao, 2016, Nature Genetics.

005 Cardiac MRI: understanding myocardial motion to predict remodelling pre cardiac resynchronisation therapy

Daniel Rueckert, Xiahai Zhuang, Reza Razavi, 2012, Heart.

Motion and Deformation Analysis of the Heart using Thin-Plate Splines and Density and Velocity Encoded MR Images

Daniel Rueckert, D. Rueckert, Peter BurgerComputing, 1996 .

Optimizing the diagnosis of early Alzheimer's disease in mild cognitive impairment subjects.

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2012, Journal of Alzheimer's disease : JAD.

Age dependent fetal MR segmentation using manual and automated approaches

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2013 .

Multi-channel MRI segmentation of eye structures and tumors using patient-specific features

Jean-Philippe Thiran, Konstantinos Kamnitsas, Ben Glocker, 2017, PloS one.

An automatic multi-atlas based prostate segmentation using local appearance-speci c atlases and patch-based voxel weighting

Daniel Rueckert, Qinquan Gao, Philip Eddie Edwards, 2012 .

Dynamic patterns of cortical expansion during folding of the preterm human brain

Daniel Rueckert, Matthew F. Glasser, Emma C. Robinson, 2017 .

Remodeling after acute myocardial infarction: mapping ventricular dilatation using three dimensional CMR image registration

Daniel Rueckert, Wenzhe Shi, Stuart A Cook, 2012, Journal of Cardiovascular Magnetic Resonance.

Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2017, NeuroImage: Clinical.

Automatically determined hippocampal atrophy rates in ADNI: Their usability to discriminate between clinical groups and to detect changes in atrophy rate

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2010, Alzheimer's & Dementia.

A prospective evaluation of cardiovascular magnetic resonance measures of dyssynchrony in the prediction of response to cardiac resynchronization therapy

Daniel Rueckert, Xiahai Zhuang, Sebastien Ourselin, 2014, Journal of Cardiovascular Magnetic Resonance.

A novel framework for sub-acute stroke lesion segmentation based on random forest

Daniel Rueckert, Paul Bentley, Liang Chen, 2015 .

Development of the Corticospinal and Callosal Tracts from Extremely Premature Birth up to 2 Years of Age

Daniel Rueckert, Tomoki Arichi, Serena J. Counsell, 2015, PloS one.

Patch-Based Label Fusion with Spatio-Temporal Graph Cuts for Cardiac MR Images

Daniel Rueckert, Wenjia Bai, Nicholas S. Peters, 2013 .

The influence of preterm birth on the developing thalamocortical connectome

Daniel Rueckert, Paul Aljabar, Tomoki Arichi, 2013, Cortex.

Fractal Feature Analysis and Classification of MS Lesions

Simon R. Arridge, Daniel Rueckert, Julia A. Schnabel, 1995 .

Motion and Deformation Analysis of the Myocardium using Density and Velocity Encoded MR Images

Daniel Rueckert, Peter Burger, Gerardo I. Sanchez-Ortiz, 1996 .

Automatic tissue and structural segmentation of neonatal brain MRI using Expectation-Maximization

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2012 .

Understanding the need of ventricular pressure for the estimation of diastolic biomarkers

Daniel Rueckert, Pablo Lamata, Reza Razavi, 2013, Biomechanics and Modeling in Mechanobiology.

Segmentation of MRI brain scans using MALP-EM

Daniel Rueckert, Joseph V. Hajnal, Robin Wolz, 2012 .

Rapid Automated Quantification of Cerebral Leukoaraiosis on CT Images: A Multicenter Validation Study.

Liang Chen, Daniel Rueckert, Grant Mair, 2018, Radiology.

Special Issue on the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2009

Guido Gerig, Daniel Rueckert, David J. Hawkes, 2010 .

Dynamic Changes in White Matter Abnormalities Correlate With Late Improvement and Deterioration Following TBI

Daniel Rueckert, Christian Ledig, Guy B. Williams, 2015, Neurorehabilitation and neural repair.

Fibrosis Microstructure Modulates Reentry in Non-ischemic Dilated Cardiomyopathy: Insights From Imaged Guided 2D Computational Modeling

Daniel Rueckert, Wenjia Bai, Gabriel Balaban, 2018, Front. Physiol..

Relationship between body composition and left ventricular geometry using three dimensional cardiovascular magnetic resonance

Daniel Rueckert, Stuart A. Cook, Wenzhe Shi, 2016, Journal of Cardiovascular Magnetic Resonance.

Software Tool for Improved Prediction of Alzheimer’s Disease

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2011, Neurodegenerative Diseases.

Diffusion tensor imaging (DTI) of the brain in moving subjects: Application to in‐utero fetal and ex‐utero studies

Daniel Rueckert, Joseph V Hajnal, Shuzhou Jiang, 2009, Magnetic resonance in medicine.

Impaired development of the cerebral cortex in infants with congenital heart disease is correlated to reduced cerebral oxygen delivery

Daniel Rueckert, Daniel C Alexander, Maria Murgasova, 2017, Scientific Reports.

Precursors of Hypertensive Heart Phenotype Develop in Healthy Adults

Daniel Rueckert, Stuart A. Cook, Wenzhe Shi, 2015, JACC. Cardiovascular imaging.

SEGMENTATION OF SUBCORTICAL STRUCTURES IN BRAIN MRI USING GRAPH-CUTS AND SUBJECT-SPECIFIC APRIORI INFORMATION

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2009 .

Early growth in brain volume is preserved in the majority of preterm infants

Daniel Rueckert, Paul Aljabar, Latha Srinivasan, 2007, Annals of neurology.

The Effect of Preterm Birth on Thalamic and Cortical Development

Daniel Rueckert, Paul Aljabar, Ioannis S. Gousias, 2011, Cerebral cortex.

Atlas selection strategy for automatic segmentation of pediatric brain MRIs into 83 ROIs

Daniel Rueckert, Alexander Hammers, Rolf A. Heckemann, 2010, 2010 IEEE International Conference on Imaging Systems and Techniques.

Erratum: Acquisition and voxelwise analysis of multi-subject diffusion data with Tract-Based Spatial Statistics (Nature Protocols (2007) (499-503) 10.1038/nprot.2007.45)

Daniel Rueckert, Thomas E. Nichols, Matthew D. Robson, 2007 .

Two-Step Watershed Segmentation of Epithelial Cells

Daniel Rueckert, Kevin Keraudren, Luis Pizarro, 2011 .

2013 IEEE 10TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)

Daniel Rueckert, Anthony N. Price, Jo Hajnal, 2013, ISBI 2013.

Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment

Daniel Rueckert, Robin Wolz, Martina Bocchetta, 2013, Neurobiology of Aging.

Brain lesion segmentation through image synthesis and outlier detection

Daniel Rueckert, Alexander Hammers, Chen Qin, 2017, NeuroImage: Clinical.

Machine Learning of Three-dimensional Right Ventricular Motion Enables Outcome Prediction in Pulmonary Hypertension: A Cardiac MR Imaging Study

Daniel Rueckert, Wenzhe Shi, Antonio de Marvao, 2017, Radiology.

Computing Covariances for Mutual Information Coregistration

Guang-Zhong Yang, Daniel Rueckert, Paul A. Bromiley, 2004 .

NON-RIGID REGISTRATION OF INTRAOPERATIVELY ACQUIRED 3D ULTRASOUND DATA OF BRAIN TUMORS

Daniel Rueckert, Pierre Hellier, Wiro J. Niessen, 2004 .

Common Genetic Variants and Risk of Brain Injury After Preterm Birth

Daniel Rueckert, Paul Aljabar, Philippe Froguel, 2014, Pediatrics.

Beyond the g‐factor limit in sensitivity encoding using joint histogram entropy

David Atkinson, Daniel Rueckert, David J Larkman, 2006, Magnetic resonance in medicine.