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ORCIDManuel Jorge Cardoso
Manual Jorge Cardoso – M. Jorge Cardoso – Jorge Cardoso 0002
Person information
- affiliation: King's College London, UK
- affiliation (former): University College London, UK
Other persons with the same name
- Jorge Cardoso 0001
![[0000-0001-8992-3466]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8992-3466")
— University of Coimbra, Portugal (and 2 more) - Jorge Cardoso 0003 — Instituto Tecnológico de Celaya, Mexico
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2020 – today
- 2023
[j57]Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo:
Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. IEEE Access 11: 34595-34602 (2023)- [j56]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:
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [j55]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [j54]Guilherme Pombo, Robert Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev:
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. 84: 102723 (2023) - [j53]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:
NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data. Neuroinformatics 21(2): 457-468 (2023) - [c96]Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Denoising diffusion models for out-of-distribution detection. CVPR Workshops 2023: 2948-2957 - [i75]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:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i74]Ashay Patel, Petru-Danial Tudiosu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR abs/2304.07147 (2023) - [i73]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:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR abs/2305.10655 (2023) - [i72]Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised 3D out-of-distribution detection with latent diffusion models. CoRR abs/2307.03777 (2023) - [i71]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:
Generative AI for Medical Imaging: extending the MONAI Framework. CoRR abs/2307.15208 (2023) - [i70]Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu:
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. CoRR abs/2308.12465 (2023) - 2022
- [j52]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. 79: 102475 (2022) - [j51]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:
Deep forecasting of translational impact in medical research. Patterns 3(5): 100483 (2022) - [c95]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:
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI 2022: 11-21 - [c94]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI 2022: 14-23 - [c93]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:
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. SASHIMI@MICCAI 2022: 66-78 - [c92]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can Segmentation Models Be Trained with Fully Synthetically Generated Data? SASHIMI@MICCAI 2022: 79-90 - [c91]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. DGM4MICCAI@MICCAI 2022: 117-126 - [c90]Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) 2022: 705-714 - [c89]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Transformer-based out-of-distribution detection for clinically safe segmentation. MIDL 2022: 457-476 - [c88]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fitting Segmentation Networks on Varying Image Resolutions Using Splatting. MIUA 2022: 271-282 - [e18]Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris:
Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13542, Springer 2022, ISBN 978-3-031-16851-2 [contents] - [e17]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:
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. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [d1]Robert Gray, Matthew Graham, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Parashkev Nachev:
3d_very_deep_vae. Zenodo, 2022
- [i69]Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, 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:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i68]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - [i67]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:
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR abs/2203.12362 (2022) - [i66]Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Transformer-based out-of-distribution detection for clinically safe segmentation. CoRR abs/2205.10650 (2022) - [i65]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:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i64]Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR abs/2206.03461 (2022) - [i63]Stefano Moriconi, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Solid NURBS Conforming Scaffolding for Isogeometric Analysis. CoRR abs/2206.04421 (2022) - [i62]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Fitting Segmentation Networks on Varying Image Resolutions using Splatting. CoRR abs/2206.06445 (2022) - [i61]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, Jorge Cardoso:
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain. CoRR abs/2209.03177 (2022) - [i60]Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Brain Imaging Generation with Latent Diffusion Models. CoRR abs/2209.07162 (2022) - [i59]Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso:
Can segmentation models be trained with fully synthetically generated data? CoRR abs/2209.08256 (2022) - [i58]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:
MONAI: An open-source framework for deep learning in healthcare. CoRR abs/2211.02701 (2022) - [i57]Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Denoising Diffusion Models for Out-of-Distribution Detection. CoRR abs/2211.07740 (2022) - [i56]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:
Transformer-based normative modelling for anomaly detection of early schizophrenia. CoRR abs/2212.04984 (2022) - [i55]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:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [j50]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical Image Anal. 67: 101862 (2021) - [j49]Kerstin Kläser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, Alexander Hammers, David Atkinson, Kris Thielemans, Brian F. Hutton, Manuel Jorge Cardoso, Sébastien Ourselin:
Imitation learning for improved 3D PET/MR attenuation correction. Medical Image Anal. 71: 102079 (2021) - [j48]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225: 117460 (2021) - [j47]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:
Uncertainty analysis of MR-PET image registration for precision neuro-PET imaging. NeuroImage 232: 117821 (2021) - [c87]Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson:
Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks. MLCN@MICCAI 2021: 13-22 - [c86]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso:
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI 2021: 67-76 - [c85]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
An MRF-UNet Product of Experts for Image Segmentation. MIDL 2021: 48-59 - [c84]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL 2021: 596-617 - [e16]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:
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. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - [e15]Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12968, Springer 2021, ISBN 978-3-030-87721-7 [contents] - [i54]M. Jorge Cardoso, Marc Modat, Tom Vercauteren, Sébastien Ourselin:
Scale factor point spread function matching: Beyond aliasing in image resampling. CoRR abs/2101.06440 (2021) - [i53]Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR abs/2102.11650 (2021) - [i52]Maria A. Zuluaga, Alex F. Mendelson, M. Jorge Cardoso, Andrew Mayall Taylor, Sébastien Ourselin:
Multi-Atlas Based Pathological Stratification of d-TGA Congenital Heart Disease. CoRR abs/2104.01960 (2021) - [i51]Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
An MRF-UNet Product of Experts for Image Segmentation. CoRR abs/2104.05495 (2021) - [i50]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:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i49]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 Arbelaez, 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:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i48]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
Estimating MRI Image Quality via Image Reconstruction Uncertainty. CoRR abs/2106.10992 (2021) - [i47]Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson:
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks. CoRR abs/2108.08214 (2021) - [i46]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton:
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation. CoRR abs/2109.02413 (2021) - [i45]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:
Deep forecasting of translational impact in medical research. CoRR abs/2110.08904 (2021) - [i44]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR abs/2111.02771 (2021) - [i43]Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso:
Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR abs/2111.04094 (2021) - [i42]Guilherme Pombo, Robert Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev:
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR abs/2111.14923 (2021) - 2020
- [j46]Claudio S. Ravasio, Theodoros Pissas, Edward Bloch, Blanca Flores, Sepehr Jalali, Danail Stoyanov, M. Jorge Cardoso, Lyndon Da Cruz, Christos Bergeles:
Learned optical flow for intra-operative tracking of the retinal fundus. Int. J. Comput. Assist. Radiol. Surg. 15(5): 827-836 (2020) - [j45]Marta Bianca Maria Ranzini, Johann Henckel, Michael Ebner, M. Jorge Cardoso, Amanda Isaac, Tom Vercauteren, Sébastien Ourselin, Alister Hart, Marc Modat:
Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation. Comput. Methods Programs Biomed. 183 (2020) - [j44]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, Timothé Boutelier, M. Jorge Cardoso, Sotirios Bisdas:
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC Medical Informatics Decis. Mak. 20(1): 149 (2020) - [j43]Ferran Prados, Marcello Moccia, Aubrey Johnson, Marios C. Yiannakas, Francesco Grussu, Manuel Jorge Cardoso, Olga Ciccarelli, Sébastien Ourselin, Frederik Barkhof, Claudia A. M. Wheeler-Kingshott:
Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy. NeuroImage 209: 116489 (2020) - [j42]Da Ma, Manuel Jorge Cardoso, Maria A. Zuluaga, Marc Modat, Nick M. Powell, Frances K. Wiseman, Jon O. Cleary, Benjamin Sinclair, Ian F. Harrison, Bernard Siow, Karteek Popuri, Sieun Lee, Joanne A. Matsubara, Marinko V. Sarunic, Mirza Faisal Beg, Victor L. J. Tybulewicz, Elizabeth M. C. Fisher, Mark F. Lythgoe, Sébastien Ourselin:
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome - a comprehensive morphometric analysis with active staining contrast-enhanced MRI. NeuroImage 223: 117271 (2020) - [j41]Baris Kanber, James K. Ruffle, M. Jorge Cardoso, Sébastien Ourselin, Olga Ciccarelli:
Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging. Neuroinformatics 18(2): 333-336 (2020) - [j40]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:
Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change. Neuroinformatics 18(3): 429-449 (2020) - [j39]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:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - [j38]Richard Shaw, Carole H. Sudre, Thomas Varsavsky, Sébastien Ourselin, M. Jorge Cardoso:
A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. IEEE Trans. Medical Imaging 39(9): 2881-2892 (2020) - [c83]Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework. ISBI 2020: 600-604 - [c82]Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, Manuel Jorge Cardoso:
Hierarchical Brain Parcellation with Uncertainty. UNSURE/GRAIL@MICCAI 2020: 23-31 - [c81]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:
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI 2020: 110-119 - [c80]Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso:
Test-Time Unsupervised Domain Adaptation. MICCAI (1) 2020: 428-436 - [c79]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. MIDL 2020: 733-742 - [e14]Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu:
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. Lecture Notes in Computer Science 12444, Springer 2020, ISBN 978-3-030-60547-6 [contents] - [i41]Richard Shaw, Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso:
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality. CoRR abs/2001.11927 (2020) - [i40]Petru-Daniel Tudosiu, Thomas Varsavsky, Richard Shaw, Mark S. Graham, Parashkev Nachev, Sébastien Ourselin, Carole H. Sudre, M. Jorge Cardoso:
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. CoRR abs/2002.05692 (2020) - [i39]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:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i38]Maria A. Zuluaga, M. Jorge Cardoso, Sébastien Ourselin:
Automatic Right Ventricle Segmentation using Multi-Label Fusion in Cardiac MRI. CoRR abs/2004.02317 (2020) - [i37]Marta Bianca Maria Ranzini, Irme Groothuis, Kerstin Kläser, M. Jorge Cardoso, Johann Henckel, Sébastien Ourselin, Alister Hart, Marc Modat:
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework. CoRR abs/2004.09321 (2020) - [i36]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. CoRR abs/2009.04009 (2020) - [i35]Mark S. Graham, Carole H. Sudre, Thomas Varsavsky, Petru-Daniel Tudosiu, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Hierarchical brain parcellation with uncertainty. CoRR abs/2009.07573 (2020) - [i34]Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso:
Test-time Unsupervised Domain Adaptation. CoRR abs/2010.01926 (2020) - [i33]Mariana da Silva, Kara Garcia, Carole H. Sudre, Cher Bass, M. Jorge Cardoso, Emma C. Robinson:
Biomechanical modelling of brain atrophy through deep learning. CoRR abs/2012.07596 (2020)
2010 – 2019
- 2019
- [j37]Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin:
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. 52: 97-108 (2019) - [j36]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53: 39-46 (2019) - [j35]