M. Jorge Cardoso

188 papers B 2Journal 108Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation. CoRR Parhom Esmaeili, Chayanin Tangwiriyasakul, Eli Gibson, Sébastien Ourselin, M. Jorge Cardoso
2026	J	`jnl`	Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals. CoRR Pascaline Andrè, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, Patrick Godau, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gaël Varoquaux, Lena Maier-Hein, Olivier Colliot
2025	—	`conf`	A Methodology for Clinically Driven Interactive Segmentation Evaluation. HAIC@MICCAI Parhom Esmaeili, Pedro Borges, Virginia Fernandez, Eli Gibson, Sébastien Ourselin, M. Jorge Cardoso
2025	J	`jnl`	A methodology for clinically driven interactive segmentation evaluation. CoRR Parhom Esmaeili, Virginia Fernandez, Pedro Borges, Eli Gibson, Sébastien Ourselin, M. Jorge Cardoso
2025	—	`conf`	Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories. DGM4MICCAI@MICCAI Zhenshan Xie, Levente Baljer, M. Jorge Cardoso, Emma C. Robinson
2025	J	`jnl`	Deep generative computed perfusion-deficit mapping of ischaemic stroke. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Guilherme Pombo, Stefano Moriconi, Michael S. Elmalem, Paul Wright, Yee-Haur Mah, Jane Rondina, Robert J. Gray, Sébastien Ourselin, Parashkev Nachev, M. Jorge Cardoso
2025	J	`jnl`	Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling. CoRR Natalia Glazman, Jyoti Mangal, Pedro Borges, Sébastien Ourselin, M. Jorge Cardoso
2025	—	`conf`	Evaluation of Uncertainty-Aware Multi-software Ensembles for Hippocampal Segmentation. UNSURE@MICCAI Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge, Hamza A. Salhab, Caroline Micallef, Josephine Barnes, M. Jorge Cardoso, Carole H. Sudre, Matthew Grech-Sollars
2025	J	`jnl`	MAIS: Memory-Attention for Interactive Segmentation. CoRR Mauricio Orbes-Arteaga, Oeslle Lucena, Sébastien Ourselin, M. Jorge Cardoso
2025	—	`conf`	Resolution Invariant Autoencoder. DGM4MICCAI@MICCAI Ashay Patel, Michela Antonelli, Sébastien Ourselin, M. Jorge Cardoso
2025	J	`jnl`	Resolution Invariant Autoencoder. CoRR Ashay Patel, Michela Antonelli, Sébastien Ourselin, M. Jorge Cardoso
2025	—	`conf`	Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues. BRIDGE/DeCaF@MICCAI Pascaline Andrè, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gaël Varoquaux, Lena Maier-Hein, Olivier Colliot
2025	—	`conf`	Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved MPMs. SASHIMI@MICCAI 2025 Pedro Borges, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2024	—	`conf`	Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? MICCAI (10) Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofiène Boutaj, Sophie Loizillon, Maëlys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein
2024	J	`jnl`	Cortical Surface Diffusion Generative Models. CoRR Zhenshan Xie, Simon Dahan, Logan Z. J. Williams, M. Jorge Cardoso, Emma C. Robinson
2024	—	`ed.`	Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, DART 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings DART@MICCAI Lisa M. Koch, M. Jorge Cardoso, Enzo Ferrante, Konstantinos Kamnitsas, Mobarakol Islam, Meirui Jiang, Nicola Rieke, Sotirios A. Tsaftaris, Dong Yang
2024	J	`jnl`	Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	J	`jnl`	Generating multi-pathological and multi-modal images and labels for brain MRI. Medical Image Anal. Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren, M. Jorge Cardoso
2024	J	`jnl`	MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
2024	J	`jnl`	Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. Petru-Daniel Tudosiu, Walter H. L. Pinaya, Pedro Ferreira Da Costa, Jessica Dafflon, Ashay Patel, Pedro Borges, Virginia Fernandez, Mark S. Graham, Robert J. Gray, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2024	—	`conf`	Resolution and Field of View Invariant Generative Modelling with Latent Diffusion Models. MIDL Ashay Patel, Mark S. Graham, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2024	—	`conf`	Using MR Physics for Domain Generalisation and Super-Resolution. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	A 3D Generative Model of Pathological Multi-modal MR Images and Segmentations. DGM4MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2023	J	`jnl`	A 3D generative model of pathological multi-modal MR images and segmentations. CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2023	J	`jnl`	Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren
2023	J	`jnl`	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Denoising diffusion models for out-of-distribution detection. CVPR Workshops Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
2023	—	`conf`	Framework to Generate Perfusion Map from CT and CTA Images in Patients with Acute Ischemic Stroke: A Longitudinal and Cross-Sectional Study. BrainLes/SWITCH@MICCAI Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee-Haur Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Geometry-Invariant Abnormality Detection. MICCAI (1) Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. MICCAI (10) Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu
2023	J	`jnl`	InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. CoRR Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu
2023	J	`jnl`	Latent Transformer Models for out-of-distribution detection. Medical Image Anal. Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation. MLMI@MICCAI (2) Mariam Zabihi, Chayanin Tangwiriyasakul, Silvia Ingala, Luigi Lorenzini, Robin Camarasa, Frederik Barkhof, Marleen de Bruijne, M. Jorge Cardoso, Carole H. Sudre
2023	J	`jnl`	NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. Neuroinformatics Jieqing Jiao, Fiona Heeman, Rachael Dixon, Catriona Wimberley, Isadora Lopes Alves, Juan Domingo Gispert, Adriaan A. Lammertsma, Bart N. M. van Berckel, Casper O. da Costa-Luis, Pawel Markiewicz, David M. Cash, M. Jorge Cardoso, Sébastien Ourselin, Maqsood Yaqub, Frederik Barkhof
2023	—	`conf`	Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. DGM4MICCAI Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenków, Sotirios A. Tsaftaris, M. Jorge Cardoso
2023	J	`jnl`	RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister
2023	—	`conf`	Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. IEEE Access Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2023	—	`conf`	Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. MICCAI (1) Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	—	`conf`	Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. SASHIMI@MICCAI Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Augmentation based unsupervised domain adaptation. CoRR Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
2022	—	`conf`	Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Brain Imaging Generation with Latent Diffusion Models. CoRR Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	J	`jnl`	Can segmentation models be trained with fully synthetically generated data? CoRR Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso
2022	—	`conf`	Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib
2022	J	`jnl`	Deep forecasting of translational impact in medical research. Patterns Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev
2022	—	`conf`	DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Denoising Diffusion Models for Out-of-Distribution Detection. CoRR Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`ed.`	Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings DeCaF/FAIR@MICCAI Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
2022	—	`conf`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng
2022	J	`jnl`	Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger
2022	—	`conf`	Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Mark S. Graham, Pedro Borges, Virginia Fernandez, Dai Yang, Jeremy Appleyard, Guido Novati, Disha Mehra, Mike Vella, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Solid NURBS Conforming Scaffolding for Isogeometric Analysis. CoRR Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Transformer-based normative modelling for anomaly detection of early schizophrenia. CoRR Pedro F. Da Costa, Jessica Dafflon, Sergio Leonardo Mendes, João Ricardo Sato, M. Jorge Cardoso, Robert Leech, Emily J. H. Jones, Walter Hugo Lopez Pinaya
2022	—	`conf`	Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee-Haur Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation. CoRR Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton
2021	J	`jnl`	Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2021	—	`conf`	An MRF-UNet Product of Experts for Image Segmentation. MIDL Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	An MRF-UNet Product of Experts for Image Segmentation. CoRR Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	—	`ed.`	Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings CLIP/DCL/LL-COVID19/PPML@MICCAI Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach
2021	J	`jnl`	Common Limitations of Image Processing Metrics: A Picture Story. CoRR Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein
2021	J	`jnl`	Deep forecasting of translational impact in medical research. CoRR Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev
2021	—	`conf`	Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks. MLCN@MICCAI Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson
2021	J	`jnl`	Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks. CoRR Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson
2021	J	`jnl`	Estimating MRI Image Quality via Image Reconstruction Uncertainty. CoRR Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso
2021	B	`conf`	Lesion-wise evaluation for effective performance monitoring of small object segmentation. Image Processing Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat
2021	J	`jnl`	Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease. CoRR Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin
2021	J	`jnl`	Robust parametric modeling of Alzheimer's disease progression. NeuroImage Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2021	J	`jnl`	Scale factor point spread function matching: Beyond aliasing in image resampling. CoRR M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin
2021	J	`jnl`	The Medical Segmentation Decathlon. CoRR Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
2021	J	`jnl`	The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage Pawel J. Markiewicz, Julian C. Matthews, John Ashburner, David M. Cash, David L. Thomas, Enrico De Vita, Anna Barnes, M. Jorge Cardoso, Marc Modat, Richard Brown, Kris Thielemans, Casper O. da Costa-Luis, Isadora Lopes Alves, Juan Domingo Gispert, Mark E. Schmidt, Paul Marsden, Alexander Hammers, Sébastien Ourselin, Frederik Barkhof
2021	—	`conf`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	—	`conf`	A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. MIDL Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. CoRR Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. IEEE Trans. Medical Imaging Richard Shaw, Carole H. Sudre, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. Neuroinformatics Cassidy M. Fiford, Carole H. Sudre, Hugh Pemberton, Phoebe Walsh, Emily N. Manning, Ian B. Malone, Jennifer Nicholas, Willem H. Bouvy, Owen T. Carmichael, Geert Jan Biessels, M. Jorge Cardoso, Josephine Barnes
2020	J	`jnl`	Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. Comput. Methods Programs Biomed. Marta Bianca Maria Ranzini, Johann Henckel, Michael Ebner, M. Jorge Cardoso, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, Alister Hart, Marc Modat
2020	J	`jnl`	Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI. CoRR Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin
2020	J	`jnl`	Biomechanical modelling of brain atrophy through deep learning. CoRR Mariana da Silva, Kara Garcia, Carole H. Sudre, Cher Bass, M. Jorge Cardoso, Emma C. Robinson
2020	—	`conf`	Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. ISBI Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
2020	J	`jnl`	Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. CoRR Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat
2020	—	`ed.`	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings DART/DCL@MICCAI Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu
2020	J	`jnl`	Hierarchical brain parcellation with uncertainty. CoRR Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	Learned optical flow for intra-operative tracking of the retinal fundus. Int. J. Comput. Assist. Radiol. Surg. Claudio S. Ravasio, Theodoros Pissas, Edward Bloch, Blanca Flores, Sepehr Jalali, Danail Stoyanov, M. Jorge Cardoso, Lyndon Da Cruz, Christos Bergeles
2020	J	`jnl`	Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC Medical Informatics Decis. Mak. Carole H. Sudre, Jasmina Panovska, Eser Sanverdi, Sebastian Brandner, Vasileios K. Katsaros, George Stranjalis, Francesca B. Pizzini, Claudio Ghimenton, Katarina Surlan-Popovic, Jernej Avsenik, Maria Vittoria Spampinato, Mario Nigro, Arindam R. Chatterjee, Arnaud Attye, Sylvie Grand, Alexandre Krainik, Nicoletta Anzalone, Gian Marco Conte, Valeria Romeo, Lorenzo Ugga, Andrea Elefante, Elisa Francesca Ciceri, Elia Guadagno, Eftychia E. Kapsalaki, Diana Röttger, Javier Gonzalez-Zabaleta, Timothé Boutelier, M. Jorge Cardoso, Sotirios Bisdas
2020	J	`jnl`	Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso
2020	J	`jnl`	Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging. Neuroinformatics Baris Kanber, James K. Ruffle, M. Jorge Cardoso, Sébastien Ourselin, Olga Ciccarelli
2020	—	`conf`	Test-Time Unsupervised Domain Adaptation. MICCAI (1) Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2020	J	`jnl`	Test-time Unsupervised Domain Adaptation. CoRR Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso
2020	J	`jnl`	The Future of Digital Health with Federated Learning. CoRR Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
2020	J	`jnl`	The future of digital health with federated learning. npj Digit. Medicine Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
2020	—	`conf`	Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sébastien Ourselin
2019	—	`conf`	3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. MIDL Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
2019	J	`jnl`	A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso
2019	—	`conf`	As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. MICCAI (4) Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	As easy as 1, 2... 4? Uncertainty in counting tasks for medical imaging. CoRR Zach Eaton-Rosen, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso
2019	—	`ed.`	Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings DART/MIL3ID@MICCAI Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le
2019	J	`jnl`	GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin
2019	—	`conf`	Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. SASHIMI@MICCAI Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin
2019	J	`jnl`	Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning. CoRR Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sébastien Ourselin
2019	J	`jnl`	Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. IEEE Trans. Medical Imaging Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019	—	`ed.`	International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom MIDL M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren
2019	—	`conf`	Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019	J	`jnl`	Knowledge distillation for semi-supervised domain adaptation. CoRR Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
2019	—	`conf`	Learning Task-Specific and Shared Representations in Medical Imaging. MICCAI (4) Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
2019	—	`conf`	Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. MICCAI (4) Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
2019	J	`jnl`	Let's agree to disagree: learning highly debatable multirater labelling. CoRR Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Hans Rolf Jäger, M. Jorge Cardoso
2019	—	`conf`	MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty. MIDL Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren
2019	—	`conf`	Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
2019	—	`conf`	On the Initialization of Long Short-Term Memory Networks. ICONIP (1) Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	On the Initialization of Long Short-Term Memory Networks. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	—	`conf`	Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
2019	—	`conf`	Privacy-Preserving Federated Brain Tumour Segmentation. MLMI@MICCAI Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
2019	J	`jnl`	Privacy-preserving Federated Brain Tumour Segmentation. CoRR Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng
2019	J	`jnl`	Robust parametric modeling of Alzheimer's disease progression. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
2019	J	`jnl`	Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. CoRR Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso
2019	—	`conf`	Towards Quantifying Neurovascular Resilience. MLMECH/CVII-STENT@MICCAI Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	Towards Quantifying Neurovascular Resilience. CoRR Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2019	J	`jnl`	Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2019	J	`jnl`	Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018	J	`jnl`	3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. CoRR Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Lorna Smith, Hans Rolf Jäger, M. Jorge Cardoso
2018	—	`conf`	An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation. MIUA Lorenz Berger, Eoin Hyde, M. Jorge Cardoso, Sébastien Ourselin
2018	—	`conf`	Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin
2018	J	`jnl`	Deep Boosted Regression for MR to CT Synthesis. CoRR Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin
2018	—	`conf`	Elastic Registration of Geodesic Vascular Graphs. MICCAI (1) Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	Elastic Registration of Geodesic Vascular Graphs. CoRR Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. NeuroImage Claudia Blaiotta, Patrick Freund, M. Jorge Cardoso, John Ashburner
2018	B	`conf`	Imaging biomarkers for the diagnosis of Prion disease. Image Processing Liane S. Canas, Benjamin C. Yvernault, Carole H. Sudre, Enrico De Vita, M. Jorge Cardoso, John S. Thornton, Frederik Barkhof, Sébastien Ourselin, Simon Mead, Marc Modat
2018	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2018	J	`jnl`	PIMMS: Permutation Invariant Multi-Modal Segmentation. CoRR Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018	—	`conf`	PIMMS: Permutation Invariant Multi-modal Segmentation. DLMIA/ML-CDS@MICCAI Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
2018	J	`jnl`	Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018	—	`conf`	Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs. MICCAI (1) Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Kläser, Andrew Melbourne, Pawel J. Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin
2018	J	`jnl`	Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
2018	—	`conf`	Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. MICCAI (3) Carla Semedo, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, Sébastien Ourselin
2018	—	`conf`	Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. MICCAI (1) Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. CoRR Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
2018	—	`conf`	Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
2018	J	`jnl`	Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
2018	—	`ed.`	Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings MLCN/DLF/iMIMIC@MICCAI Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier
2018	J	`jnl`	VTrails: Inferring Vessels with Geodesic Connectivity Trees. CoRR Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2018	J	`jnl`	Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. NeuroImage Michael Ebner, Karen K. Chung, Ferran Prados, M. Jorge Cardoso, Declan T. Chard, Tom Vercauteren, Sébastien Ourselin
2017	J	`jnl`	A Comparison of Accelerated and Non-accelerated MRI Scans for Brain Volume and Boundary Shift Integral Measures of Volume Change: Evidence from the ADNI Dataset. Neuroinformatics Emily N. Manning, Kelvin K. Leung, Jennifer M. Nicholas, Ian B. Malone, M. Jorge Cardoso, Jonathan M. Schott, Nick C. Fox, Josephine Barnes
2017	J	`jnl`	A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. NeuroImage Claes Nøhr Ladefoged, Ian Law, Udunna Anazodo, Keith St. Lawrence, David Izquierdo-Garcia, Ciprian Catana, Ninon Burgos, M. Jorge Cardoso, Sébastien Ourselin, Brian F. Hutton, Inés Mérida, Nicolas Costes, Alexander Hammers, Didier Benoit, Søren Holm, Meher R. Juttukonda, Hongyu An, Jorge Cabello, Mathias Lukas, Stephan G. Nekolla, Sibylle Ziegler, Matthias Fenchel, Bjoern Jakoby, Michael E. Casey, Tammie L. S. Benzinger, Liselotte Højgaard, Adam Espe Hansen, Flemming Littrup Andersen
2017	J	`jnl`	An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation. CoRR Lorenz Berger, Eoin Hyde, M. Jorge Cardoso, Sébastien Ourselin
2017	J	`jnl`	Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy. Frontiers Neuroinformatics Holly E. Holmes, Nick M. Powell, Da Ma, Ozama Ismail, Ian F. Harrison, Jack A. Wells, Niall Colgan, James M. O'Callaghan, Ross A. Johnson, Tracey K. Murray, Zeshan Ahmed, Morten Heggenes, Alice Fisher, M. Jorge Cardoso, Marc Modat, Michael J. O'Neill, Emily C. Collins, Elizabeth M. C. Fisher, Sébastien Ourselin, Mark F. Lythgoe
2017	—	`ed.`	Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures - 4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CARE/CLIP@MICCAI M. Jorge Cardoso, Tal Arbel, Xiongbiao Luo, Stefan Wesarg, Tobias Reichl, Miguel Ángel González Ballester, A. Jonathan McLeod, Klaus Drechsler, Terry M. Peters, Marius Erdt, Kensaku Mori, Marius George Linguraru, Andreas Uhl, Cristina Oyarzun Laura, Raj Shekhar
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	—	`ed.`	Fetal, Infant and Ophthalmic Medical Image Analysis - International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings FIFI/OMIA@MICCAI M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Kathryn Garvin, Emma C. Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien E. Desjardins, Tom Vercauteren
2017	—	`conf`	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. DLMIA/ML-CDS@MICCAI Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso
2017	J	`jnl`	Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations. CoRR Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso
2017	J	`jnl`	Generative diffeomorphic atlas construction from brain and spinal cord MRI data. CoRR Claudia Blaiotta, Patrick Freund, M. Jorge Cardoso, John Ashburner
2017	—	`ed.`	Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings GRAIL/MFCA/MICGen@MICCAI M. Jorge Cardoso, Tal Arbel, Enzo Ferrante, Xavier Pennec, Adrian V. Dalca, Sarah Parisot, Sarang C. Joshi, Nematollah Kayhan Batmanghelich, Aristeidis Sotiras, Mads Nielsen, Mert R. Sabuncu, Tom Fletcher, Li Shen, Stanley Durrleman, Stefan Sommer
2017	—	`ed.`	Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound - International Workshops, BIVPCS 2017 and POCUS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings BIVPCS/POCUS@MICCAI M. Jorge Cardoso, Tal Arbel, João Manuel R. S. Tavares, Stephen R. Aylward, Shuo Li, Emad Boctor, Gabor Fichtinger, Kevin Cleary, Bradley Freeman, Luv Kohli, Deborah Shipley Kane, Matt Oetgen, Sonja Pujol
2017	—	`conf`	Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. CMMI/RAMBO/SWITCH@MICCAI Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie Odile Habert, Sébastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot
2017	—	`ed.`	Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings CVII-STENT/LABELS@MICCAI M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro
2017	—	`conf`	Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients. MSKI@MICCAI Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel, Alister Hart, Sébastien Ourselin, Marc Modat
2017	—	`ed.`	Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment - Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings CMMI/RAMBO/SWITCH@MICCAI M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian V. Dalca, Roland Wiest, Wiro J. Niessen, Bart J. Emmer
2017	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. CoRR Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2017	—	`conf`	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. IPMI Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2017	J	`jnl`	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task. CoRR Wenqi Li, Guotai Wang, Lucas Fidon, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2017	—	`conf`	Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. MICCAI (2) Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Andrew Melbourne, Enrico De Vita, David Thomas, Ninon Burgos, Pawel Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin
2017	—	`conf`	VTrails: Inferring Vessels with Geodesic Connectivity Trees. IPMI Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2016	—	`conf`	Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume. MICCAI (3) Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, Sébastien Ourselin
2016	—	`conf`	Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. BrainLes@MICCAI Ferran Prados, M. Jorge Cardoso, Niamh Cawley, Baris Kanber, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin
2016	—	`conf`	Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning. MICCAI (2) Ninon Burgos, Filipa Guerreiro, Jamie McClelland, Simeon Nill, David Dearnaley, Nandita deSouza, Uwe Oelfke, Antje-Christin Knopf, Sébastien Ourselin, M. Jorge Cardoso
2015	J	`jnl`	Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin
2015	—	`conf`	Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI. MICCAI (3) Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin