Jorge Cardoso - King’s College London;The London Medical Imaging & Artificial Intelligence Centre for Value Based Heathcare

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M Jorge Cardoso is a Reader in Artificial Medical Intelligence at King’s College London, where he leads a research portfolio on big data analytics, quantitative radiology and value based healthcare. Jorge is also the CTO of the new London Medical Imaging and AI Centre for Value-based Healthcare.

He has more than 12 years expertise in advanced image analysis, big data, and artificial intelligence, and co-leads the development of NiftyNet, a deep-learning platform for artificial intelligence in medical imaging. He is also a founder of BrainMiner, a medtech startup aiming to bring quantitative biomarkers and predictive models to neurological care.

Research Interests

Papers共 443 篇Author StatisticsCo-AuthorSimilar Experts

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Lazy Resampling

Benjamin Murray, Richard Brown, Pengcheng Ma, Eric Kerfoot,Daguang Xu, Andrew Feng,Jorge Cardoso,Sebastien Ourselin,Marc Modat

Computer Methods and Programs in Biomedicineno. C (2025)

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Realistic Morphology-Preserving Generative Modelling of the Brain

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,Sebastien Ourselin,M. Jorge Cardoso

Nat Mac Intellno. 7 (2024): 811-819

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Lazy Resampling: Fast and Information Preserving Preprocessing for Deep Learning

Benjamin Murray,Richard Brown, Pengcheng Ma,Eric Kerfoot,Daguang Xu,Andrew Feng,Jorge Cardoso,Sebastien Ourselin,Marc Modat

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2024)

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A 3D Generative Model of Pathological Multi-Modal MR Images and Segmentations

Virginia Fernandez,Walter Hugo Lopez Pinaya,Pedro Borges,Mark S. Graham,Tom Vercauteren,M. Jorge Cardoso

DEEP GENERATIVE MODELS, DGM4MICCAI 2023（2024）

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Predicting 1, 2 and 3 Year Emergent Referable Diabetic Retinopathy and Maculopathy Using Deep Learning

Paul Nderitu,Joan M. Nunez Do Rio,Laura Webster,Samantha Mann,David Hopkins,M. Jorge Cardoso,Marc Modat,Christos Bergeles,Timothy L. Jackson

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCEno. 7 (2024)

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Metrics Reloaded: Recommendations for Image Analysis Validation

Lena Maier‐Hein,Annika Reinke,Patrick Godau,Minu D. Tizabi,Florian Buettner,Evangelia Christodoulou,Ben Glocker,Fabian Isensee, Jens Kleesiek,Michal Kozubek,Mauricio Reyes,Michael A. Riegler,Manuel Wiesenfarth,A. Emre Kavur,Carole H. Sudre,Michael Baumgärtner,Matthias Eisenmann,Doreen Heckmann-Nötzel,Tim Rädsch,Laura Ación,Michela Antonelli,Tal Arbel,Spyridon Bakas,Arriel Benis,Matthew B. Blaschko,M. Jorge Cardoso,Veronika Cheplygina,Beth A. Cimini,Gary S. Collins,Keyvan Farahani,Luciana Ferrer,Adrián Galdrán,Bram van Ginneken,Robert Haase, Daniel A. Hashimoto,Michael M. Hoffman,Merel Huisman,Pierre Jannin,Charles Η. Kahn,Dagmar Kainmueller,Bernhard Kainz,Alexandros Karargyris,Alan Karthikesalingam,Florian Kofler,Annette Kopp‐Schneider,Anna Kreshuk,Tahsin Kurç,Bennett A. Landman,Geert Litjens,Amin Madani,Klaus H. Maier‐Hein,Anne L. Martel,Peter Mattson,Erik Meijering,Bjoern Menze,Karel G.M. Moons,Henning Müller,Brennan Nichyporuk,Felix Nickel,Jens Petersen,Nasir Rajpoot,Nicola Rieke,Julio Sáez-Rodríguez, Clara I. Sá nchez,Shravya Shetty,Maarten van Smeden,Ronald M. Summers,Abdel Aziz Taha,Aleksei Tiulpin,Sotirios A. Tsaftaris,Ben Van Calster,Gaël Varoquaux,Paul F. Jäger

Nature methodsno. 2 (2024): 195-212

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Privacy Distillation: Reducing Re-identification Risk of Diffusion Models

Virginia Fernandez,Pedro Sanchez,Walter Hugo Lopez Pinaya,Grzegorz Jacenkow,Sotirios A. Tsaftaris,M. Jorge Cardoso

DEEP GENERATIVE MODELS, DGM4MICCAI 2023 (2024): 3-13

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Generating Multi-Pathological and Multi-Modal Images and Labels for Brain MRI

Virginia Fernandez,Walter Hugo Lopez Pinaya,Pedro Borges,Mark S. Graham,Petru-Daniel Tudosiu,Tom Vercauteren,M. Jorge Cardoso

MEDICAL IMAGE ANALYSIS (2024)

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Understanding Metric-Related Pitfalls in Image Analysis Validation

Annika Reinke,Minu D. Tizabi,Michael Baumgartner,Matthias Eisenmann,Doreen Heckmann-Nötzel,A. Emre Kavur,Tim Rädsch,Carole H. Sudre,Laura Acion,Michela Antonelli,Tal Arbel,Spyridon Bakas,Arriel Benis,Florian Buettner,M. Jorge Cardoso,Veronika Cheplygina,Jianxu Chen,Evangelia Christodoulou,Beth A. Cimini,Keyvan Farahani,Luciana Ferrer,Adrian Galdran,Bram van Ginneken,Ben Glocker,Patrick Godau,Daniel A. Hashimoto,Michael M. Hoffman,Merel Huisman,Fabian Isensee,Pierre Jannin,Charles E. Kahn,Dagmar Kainmueller,Bernhard Kainz,Alexandros Karargyris,Jens Kleesiek,Florian Kofler,Thijs Kooi,Annette Kopp-Schneider,Michal Kozubek,Anna Kreshuk,Tahsin Kurc,Bennett A. Landman,Geert Litjens,Amin Madani,Klaus Maier-Hein,Anne L. Martel,Erik Meijering,Bjoern Menze,Karel G. M. Moons,Henning Müller,Brennan Nichyporuk,Felix Nickel,Jens Petersen,Susanne M. Rafelski,Nasir Rajpoot,Mauricio Reyes,Michael A. Riegler,Nicola Rieke,Julio Saez-Rodriguez,Clara I. Sánchez,Shravya Shetty,Ronald M. Summers,Abdel A. Taha,Aleksei Tiulpin,Sotirios A. Tsaftaris,Ben Van Calster,Gaël Varoquaux,Ziv R. Yaniv,Paul F. Jäger,Lena Maier-Hein

NATURE METHODS（2024）

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