Sébastien Ourselin

发表

Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling

M. Jorge Cardoso, Mostafa Mehdipour-Ghazi, Mads Nielsen, 2019, Medical Image Anal..

Fluidic actuation for intra-operative in situ imaging

Adrien E. Desjardins, Sébastien Ourselin, Tom Vercauteren, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI

Sébastien Ourselin, Andrew Melbourne, Neil Marlow, 2018, MICCAI.

Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials

Sébastien Ourselin, David F. Garway-Heath, Marco Lorenzi, 2019, MICCAI.

Knowledge distillation for semi-supervised domain adaptation pdf

M. Jorge Cardoso, Mads Nielsen, Akshay Pai, 2019, OR/MLCN@MICCAI.

A simulation system for biomarker evolution in neurodegenerative disease

Sébastien Ourselin, Daniel C. Alexander, Jonathan M. Schott, 2015, Medical Image Anal..

A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation

Sébastien Ourselin, John S. Duncan, Andrew W. McEvoy, 2019, MICCAI.

Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI

Sébastien Ourselin, Georg Langs, Tom Vercauteren, 2019, SUSI/PIPPI@MICCAI.

ToolNet: Holistically-nested real-time segmentation of robotic surgical tools

Sébastien Ourselin, Danail Stoyanov, Alain Devreker, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Multi-modal Measurement of the Myelin-to-Axon Diameter g-ratio in Preterm-born Neonates and Adult Controls

Sébastien Ourselin, Andrew Melbourne, Giles S. Kendall, 2014, MICCAI.

Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume

M. Jorge Cardoso, Sébastien Ourselin, Andrew Melbourne, 2016, MICCAI.

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set

Marc Modat, Sébastien Ourselin, Tom Vercauteren, 2019, LABELS/HAL-MICCAI/CuRIOUS@MICCAI.

Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning pdf

Sébastien Ourselin, John S. Duncan, Rachel Sparks, 2020, MICCAI.

A Modality-Agnostic Patch-Based Technique for Lesion Filling in Multiple Sclerosis

Sébastien Ourselin, Ferran Prados, Manuel Jorge Cardoso, 2014, MICCAI.

Scalable multimodal convolutional networks for brain tumour segmentation pdf

Sébastien Ourselin, Wenqi Li, Tom Vercauteren, 2017, MICCAI.

Learning Task-Specific and Shared Representations in Medical Imaging

M. Jorge Cardoso, Sébastien Ourselin, Daniel C. Alexander, 2019, MICCAI.

Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy

Sébastien Ourselin, Jan Deprest, Tom Vercauteren, 2018, International Journal of Computer Assisted Radiology and Surgery.

Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery pdf

Sébastien Ourselin, Lena Maier-Hein, Martin Wagner, 2018, ArXiv.

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

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

Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning

Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin, 2019, SASHIMI@MICCAI.

Right ventricle segmentation from cardiac MRI: A collation study

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

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Sébastien Ourselin, Tom Vercauteren, Andrew Melbourne, 2019, NeuroImage.

Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting

M. Jorge Cardoso, Sébastien Ourselin, Ferran Prados, 2016, BrainLes@MICCAI.

Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling

Sébastien Ourselin, David Atkinson, Andrew Melbourne, 2019, MICCAI.

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021

Marc Modat, Sébastien Ourselin, Keyoumars Ashkan, 2021, MLCN/RNO-AI@MICCAI.

Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning pdf

M. Jorge Cardoso, Sébastien Ourselin, David J. Hawkes, 2018, MICCAI.

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs pdf

M. Jorge Cardoso, Mads Nielsen, Akshay Pai, 2018, ArXiv.

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

Mads Nielsen, Akshay Pai, Marc Modat, 2019, Medical Imaging: Image Processing.

3-D Reconstruction of Macroscopic Optical Brain Slice Images

Sébastien Ourselin, Yang He, Alan C. F. Colchester, 2000, MICCAI.

On the Initialization of Long Short-Term Memory Networks

M. Jorge Cardoso, Mostafa Mehdipour-Ghazi, Mads Nielsen, 2019, ICONIP.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Physics-Informed Brain MRI Segmentation

M. Jorge Cardoso, Sébastien Ourselin, Ivana Drobnjak, 2020, SASHIMI@MICCAI.

Longitudinal multiple sclerosis lesion segmentation: Resource and challenge

Snehashis Roy, Amod Jog, Aaron Carass, 2017, NeuroImage.

A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis

Sébastien Ourselin, Ferran Prados, Manuel Jorge Cardoso, 2016, NeuroImage.

Real-time mosaicing of fetoscopic videos using SIFT

Sébastien Ourselin, Tom Vercauteren, Danail Stoyanov, 2016, SPIE Medical Imaging.

Measurement of Myelin in the Preterm Brain: Multi-compartment Diffusion Imaging and Multi-component T2 Relaxometry

Sébastien Ourselin, Andrew Melbourne, Giles S. Kendall, 2013, MICCAI.

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

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

MR-Less High Dimensional Spatial Normalization of 11C PiB PET Images on a Population of Elderly, Mild Cognitive Impaired and Alzheimer Disease Patients

Olivier Salvado, Sébastien Ourselin, Pierrick Bourgeat, 2008, MICCAI.

Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope

Sébastien Ourselin, Kathleen Denis, Jan Deprest, 2019, Front. Robot. AI.

Incompressible Image Registration Using Divergence-Conforming B-Splines

Marc Modat, Sébastien Ourselin, Tom Vercauteren, 2019, MICCAI.

Technical note: probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy

Sébastien Ourselin, Tom Vercauteren, Danail Stoyanov, 2018, Medical Imaging.

A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy

Sébastien Ourselin, Danail Stoyanov, Tom Vercauteren, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking

Sébastien Ourselin, Danail Stoyanov, Alain Devreker, 2016, CARE@MICCAI.

Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia pdf

Sébastien Ourselin, Danail Stoyanov, Laurence B. Lovat, 2018, ArXiv.

Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending

Sébastien Ourselin, Sjoerd B. Vos, John S. Duncan, 2018, International Journal of Computer Assisted Radiology and Surgery.

The 19th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2016)

Leo Joskowicz, Sébastien Ourselin, Mert R. Sabuncu, 2017, Medical Image Anal..

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

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

Spinal cord grey matter segmentation challenge

Julien Cohen-Adad, Salvatore Saporito, Sébastien Ourselin, 2017, NeuroImage.

Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns

Ninon Burgos, M. Jorge Cardoso, Sébastien Ourselin, 2017, CMMI/RAMBO/SWITCH@MICCAI.

Towards Quantifying Neurovascular Resilience

Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jäger, 2019, MLMECH/CVII-STENT@MICCAI.

On pattern selection for laparoscope calibration

Sébastien Ourselin, David J. Hawkes, Danail Stoyanov, 2017, Medical Imaging.

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks pdf

Sébastien Ourselin, Wenqi Li, Tom Vercauteren, 2017, BrainLes@MICCAI.

Let's agree to disagree: learning highly debatable multirater labelling pdf

H. Rolf Jäger, M. Jorge Cardoso, Sébastien Ourselin, 2019, MICCAI.

A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents

Sébastien Ourselin, Andrew Melbourne, Neil Marlow, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Magnetic resonance virtual histology for embryos: 3D atlases for automated high-throughput phenotyping

Marc Modat, Sébastien Ourselin, David J. Hawkes, 2011, NeuroImage.

Longitudinal Measurement of the Developing Thalamus in the Preterm Brain Using Multi-modal MRI

Marc Modat, Sébastien Ourselin, Andrew Melbourne, 2014, MICCAI.

Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images

Sébastien Ourselin, Andrew Melbourne, Neil Marlow, 2017, MICCAI.

Fuzzy classification of brain MRI using a priori knowledge: weighted fuzzy C-means

Maria A. Zuluaga, Olivier Salvado, Sébastien Ourselin, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis

Brian F. Hutton, M. Jorge Cardoso, Marc Modat, 2020, SASHIMI@MICCAI.

Hemodynamic matrix factorization for functional magnetic resonance imaging

Sébastien Ourselin, Andrew Melbourne, Michael Hütel, 2019, NeuroImage.

Locally weighted Markov random fields for cortical segmentation

Marc Modat, Sébastien Ourselin, Manuel Jorge Cardoso, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Robust parametric modeling of Alzheimer’s disease progression

M. Jorge Cardoso, Mostafa Mehdipour-Ghazi, Mads Nielsen, 2019, NeuroImage.

Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework

M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions pdf

M. Jorge Cardoso, Sébastien Ourselin, Sotirios Bisdas, 2018, MICCAI.

Computer Methods and Programs in Biomedicine NiftyNet: a deep-learning platform for medical imaging

Parashkev Nachev, M. Jorge Cardoso, Sébastien Ourselin, 2022 .

Automated computation and analysis of accuracy metrics in stereoencephalography

Sébastien Ourselin, John S. Duncan, Andrew W. McEvoy, 2020, Journal of Neuroscience Methods.

Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels

M. Jorge Cardoso, Sébastien Ourselin, Daniel C. Alexander, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning pdf

Parashkev Nachev, Mads Nielsen, Akshay Pai, 2019, DART/MIL3ID@MICCAI.

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning pdf

Sébastien Ourselin, Rachel Sparks, Fernando Pérez-García, 2020, Comput. Methods Programs Biomed..

Deep Sequential Mosaicking of Fetoscopic Videos pdf

Sébastien Ourselin, Danail Stoyanov, Jan Deprest, 2019, MICCAI.

Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth

Sébastien Ourselin, Tom Vercauteren, Andrew Melbourne, 2020, UNSURE/GRAIL@MICCAI.

As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging pdf

M. Jorge Cardoso, Sébastien Ourselin, Zach Eaton-Rosen, 2019, MICCAI.

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

Sébastien Ourselin, Guotai Wang, Tom Vercauteren, 2019, Front. Comput. Neurosci..

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets

Sébastien Ourselin, Tom Vercauteren, Manuel Jorge Cardoso, 2020, Medical Image Anal..

Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient

Sébastien Ourselin, Joanna M. Wardlaw, Yang He, 2001, MICCAI.

Effects of changing from non-accelerated to accelerated MRI for follow-up in brain atrophy measurement

Paul M. Thompson, Sébastien Ourselin, Clifford R. Jack, 2015, NeuroImage.