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Sebastien Ourselin

King's College London

Unsupervised Brain Anomaly Detection and Segmentation with Transformers

Feb 23, 2021
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

* 22 pages, 9 figures, submitted to MIDL 2021, OpenReview 

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Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology

Feb 19, 2021
Luis C. Garcia-Peraza-Herrera, Martin Everson, Laurence Lovat, Hsiu-Po Wang, Wen Lun Wang, Rehan Haidry, Danail Stoyanov, Sebastien Ourselin, Tom Vercauteren

* Accepted by IJCARS 

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Image Compositing for Segmentation of Surgical Tools without Manual Annotations

Feb 18, 2021
Luis C. Garcia-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin

* Accepted by IEEE TMI 

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Scale factor point spread function matching: Beyond aliasing in image resampling

Jan 16, 2021
M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sebastien Ourselin

* Published in MICCAI 2015 

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Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications

Dec 30, 2020
Loic Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sebastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren

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Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge

Nov 03, 2020
Lucas Fidon, Sebastien Ourselin, Tom Vercauteren

* MICCAI 2020 BrainLes Workshop. Our method ranked fourth out of the 693 registered teams for the segmentation task of the BraTS 2020 challenge 

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Hierarchical brain parcellation with uncertainty

Sep 16, 2020
Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

* To be published in the MICCAI 2020 workshop: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging 

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

Sep 08, 2020
Reuben Dorent, Thomas Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Jorge Cardoso, Sebastien Ourselin, Tom Vercauteren

* MIDL 2019 special issue - Medical Image Analysis 

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Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging

Aug 12, 2020
Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John Duncan, Keyoumars Ashkan, Rachel Sparks, Sebastien Ourselin

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Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Jul 08, 2020
Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel Vander Poorten, Tom Vercauteren, Sebastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov

* Accepted at MICCAI 2020 

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Scribble-based Domain Adaptation via Co-segmentation

Jul 07, 2020
Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel Saeed, Marc Modat, Sebastien Ourselin, Tom Vercauteren

* Accepted at MICCAI 2020 

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Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices

Jul 02, 2020
Guotai Wang, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren, Shaoting Zhang

* 10 pages, 4 figures, Accepted by MICCAI 2020 

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Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge

Jun 05, 2020
Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael HĂĽtel, Sebastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung

* CNI-TLC was held in conjunction with MICCAI 2019 

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The Future of Digital Health with Federated Learning

Mar 18, 2020
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

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

Mar 09, 2020
Fernando PĂ©rez-GarcĂ­a, Rachel Sparks, Sebastien Ourselin

* 14 pages, 4 figures 

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Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE

Feb 13, 2020
Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark Graham, Parashkev Nachev, Sebastien Ourselin, Carole H. Sudre, M. Jorge Cardoso

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A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

Jan 31, 2020
Richard Shaw, Carole H. Sudre, Sebastien Ourselin, M. Jorge Cardoso

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SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning

Jan 08, 2020
Lucas Fidon, Sebastien Ourselin, Tom Vercauteren

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On the Initialization of Long Short-Term Memory Networks

Dec 22, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sebastien Ourselin, Lauge Sorensen

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

Aug 27, 2019
Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian Hutton, M Jorge Cardoso, Sebastien Ourselin

* Aceppted at SASHIMI2019 

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

Aug 26, 2019
Felix J. S. Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso

* Accepted for oral presentation at ICCV 2019 

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Knowledge distillation for semi-supervised domain adaptation

Aug 16, 2019
Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai

* MLCN MICCAI workshop 

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

Jul 25, 2019
Zach Eaton-Rosen, Thomas Varsavsky, Sebastien Ourselin, M. Jorge Cardoso

* Early Accept to MICCAI 2019 

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Deep Sequential Mosaicking of Fetoscopic Videos

Jul 15, 2019
Sophia Bano, Francisco Vasconcelos, Marcel Tella Amo, George Dwyer, Caspar Gruijthuijsen, Jan Deprest, Sebastien Ourselin, Emmanuel Vander Poorten, Tom Vercauteren, Danail Stoyanov

* Accepted at MICCAI 2019 

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Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets

Jul 07, 2019
Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sebastien Ourselin, Tom Vercauteren

* Accepted as an oral presentation at MIDL 2019 

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Permutohedral Attention Module for Efficient Non-Local Neural Networks

Jul 01, 2019
Samuel Joutard, Reuben Dorent, Amanda Isaac, Sebastien Ourselin, Tom Vercauteren, Marc Modat

* Accepted at MICCAI-2019 

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Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss

Jun 10, 2019
Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sebastien Ourselin, Tom Vercauteren

* 9 pages, 4 figures, submitted to MICCAI 

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Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling

Mar 17, 2019
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sebastien Ourselin, Lauge Sørensen

* Medical Image Analysis, Volume 53, Pages 39-46, 2019 
* arXiv admin note: substantial text overlap with arXiv:1808.05500 

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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Feb 21, 2019
Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Orjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom MacGillivray, David Newby, Kawal Rhode, Sebastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David Firmin, Guang Yang

* 14 pages, 7 figures, sumitted to Medical Image Analysis 

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Large-scale mammography CAD with Deformable Conv-Nets

Feb 19, 2019
Stephen Morrell, Zbigniew Wojna, Can Son Khoo, Sebastien Ourselin, Juan Eugenio Iglesias

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