Christian Ledig

发表

Instantiated mixed effects modeling of Alzheimer's disease markers

Daniel Rueckert, Robin Wolz, Ricardo Guerrero, 2016, NeuroImage.

Group-constrained manifold learning: Application to AD risk assessment

Daniel Rueckert, Christian Ledig, Ricardo Guerrero, 2017, Pattern Recognit..

Automatic quantification of normal cortical folding patterns from fetal brain MRI

Daniel Rueckert, Mary A. Rutherford, Joseph V. Hajnal, 2014, NeuroImage.

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks

Daniel Rueckert, Fani Deligianni, Gaël Varoquaux, 2013, IEEE Transactions on Medical Imaging.

Simulation and Synthesis in Medical Imaging

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

Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain

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

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

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

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

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

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..

Is the deconvolution layer the same as a convolutional layer? pdf

Christian Ledig, Lucas Theis, Zehan Wang, 2016, ArXiv.

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

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

Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

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

Segmentation of Myelin-like Signals on Clinical MR Images for Age Estimation in Preterm Infants

Joseph V. Hajnal, Christian Ledig, Siying Wang, 2018, bioRxiv.

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

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

Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize pdf

Christian Ledig, Lucas Theis, Zehan Wang, 2017, ArXiv.

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).

Generative Image Translation for Data Augmentation of Bone Lesion Pathology pdf

Anant Gupta, Christian Ledig, Sumit Chopra, 2018, MIDL.

Quantitative assessment of myelination patterns in preterm neonates using T2-weighted MRI

Joseph V. Hajnal, Christian Ledig, Siying Wang, 2019, Scientific Reports.

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

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

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

Employing Weak Annotations for Medical Image Analysis Problems pdf

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

Deep learning: Generative adversarial networks and adversarial methods

Konstantinos Kamnitsas, Christian Ledig, Jelmer M. Wolterink, 2019 .

Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation

Christian Ledig, Alejandro Acosta, Zehan Wang, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Semantic Parsing of Brain MR Images

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

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

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

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

Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning

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

Segmentation of Traumatic Brain Injuries with Convolutional Neural Networks

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2015 .

Regression analysis for assessment of myelination status in preterm brains with magnetic resonance imaging

Joseph V. Hajnal, Christian Ledig, Siying Wang, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation

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

Patch-Based Evaluation of Image Segmentation

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

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).

Differential Dementia Diagnosis on Incomplete Data with Latent Trees

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

Generative adversarial networks and adversarial methods in biomedical image analysis pdf

Konstantinos Kamnitsas, Christian Ledig, Jelmer M. Wolterink, 2018, ArXiv.

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 .

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).

Improving whole-brain segmentations through incorporating regional image intensity statistics

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

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).

Multi-atlas propagation with enhanced registration { MAPER

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

Multi-atlas segmentation with augmented features for cardiac MR images

Daniel Rueckert, Wenjia Bai, Christian Ledig, 2015, Medical Image Anal..

Brain Extraction Using Label Propagation and Group Agreement: Pincram

Daniel Rueckert, Joseph V. Hajnal, Paul Aljabar, 2015, PloS one.

Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation

Daniel Rueckert, Xiahai Zhuang, Declan P. O'Regan, 2014, MICCAI.

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).

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig, Lucas Theis, Alykhan Tejani, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, Medical Image Anal..

Robust multi-structure segmentation of magnetic resonance brain images

Christian Ledig, C. Ledig, 2015 .

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, IPMI.

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).

DeepMedic for Brain Tumor Segmentation

Konstantinos Kamnitsas, Ben Glocker, Daniel Rueckert, 2016, BrainLes@MICCAI.

Differential diagnosis of neurodegenerative diseases using structural MRI data

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2016, NeuroImage: Clinical.

Age dependent fetal MR segmentation using manual and automated approaches

Daniel Rueckert, Robin Wolz, Paul Aljabar, 2013 .

Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting

Juha Koikkalainen, Jyrki Lötjönen, Daniel Rueckert, 2017, NeuroImage: Clinical.

Neonatal brain segmentation using second order neighborhood information

Paul Aljabar, Christian Ledig, Ahmed Serag, 2012 .

Automatic tissue and structural segmentation of neonatal brain MRI using Expectation-Maximization

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

Segmentation of MRI brain scans using MALP-EM

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

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.

Efficient Computation of Joint Histograms and Normalized Mutual Information on CUDA Compatible Devices

Christian Ledig, C. Chefd'Hotel, C. Ledig, 2010 .