M. Jorge Cardoso
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
49
Venues
3
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
49 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues. | Pascaline Andr, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gal Varoquaux, Lena Maier-Hein, Olivier Colliot |
| 2025 | MICCAI | Unsupervised MRI Harmonization via Parameter Prediction and Super-Resolved MPMs. | Pedro Borges, Virginia Fernandez, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2025 | MICCAI | A Methodology for Clinically Driven Interactive Segmentation Evaluation. | Parhom Esmaeili, Pedro Borges, Virginia Fernandez, Eli Gibson, Sbastien Ourselin, M. Jorge Cardoso |
| 2025 | MICCAI | Evaluation of Uncertainty-Aware Multi-software Ensembles for Hippocampal Segmentation. | Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge, Hamza A. Salhab, Caroline Micallef, Josephine Barnes, M. Jorge Cardoso, Carole H. Sudre, Matthew Grech-Sollars |
| 2025 | MICCAI | Resolution Invariant Autoencoder. | Ashay Patel, Michela Antonelli, Sbastien Ourselin, M. Jorge Cardoso |
| 2025 | MICCAI | Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories. | Zhenshan Xie, Levente Baljer, M. Jorge Cardoso, Emma C. Robinson |
| 2024 | MICCAI | Using MR Physics for Domain Generalisation and Super-Resolution. | Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2024 | MICCAI | Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? | Evangelia Christodoulou, Annika Reinke, Rola Houhou, Piotr Kalinowski, Selen Erkan, Carole H. Sudre, Ninon Burgos, Sofine Boutaj, Sophie Loizillon, Malys Solal, Nicola Rieke, Veronika Cheplygina, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jger, Annette Kopp-Schneider, Gal Varoquaux, Olivier Colliot, Lena Maier-Hein |
| 2023 | CVPR | Denoising diffusion models for out-of-distribution detection. | Mark S. Graham, Walter H. L. Pinaya, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift. | Pedro Borges, Virginia Fernandez, Petru-Daniel Tudosiu, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | Privacy Distillation: Reducing Re-identification Risk of Diffusion Models. | Virginia Fernandez, Pedro Sanchez, Walter Hugo Lopez Pinaya, Grzegorz Jacenkw, Sotirios A. Tsaftaris, M. Jorge Cardoso |
| 2023 | MICCAI | Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models. | Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee-Haur Mah, James T. Teo, Hans Rolf Jger, David Werring, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | Geometry-Invariant Abnormality Detection. | Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sbastien Ourselin, M. Jorge Cardoso |
| 2023 | MICCAI | InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model. | Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, M. Jorge Cardoso, Razvan V. Marinescu |
| 2022 | MICCAI | DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. | 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, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Can Segmentation Models Be Trained with Fully Synthetically Generated Data? | Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges, Petru-Daniel Tudosiu, Mark S. Graham, Tom Vercauteren, M. Jorge Cardoso |
| 2022 | MICCAI | Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. | Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. | 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 Jger, David Werring, Geraint Rees, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Brain Imaging Generation with Latent Diffusion Models. | Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F. Da Costa, Virginia Fernandez, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2022 | MICCAI | Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain. | 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, Sbastien Ourselin, M. Jorge Cardoso |
| 2021 | MICCAI | Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks. | Mariana da Silva, Carole H. Sudre, Kara Garcia, Cher Bass, M. Jorge Cardoso, Emma C. Robinson |
| 2020 | MICCAI | Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. | Kerstin Klser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sbastien Ourselin |
| 2020 | MICCAI | Test-Time Unsupervised Domain Adaptation. | Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham, Parashkev Nachev, M. Jorge Cardoso |
| 2019 | ICONIP | On the Initialization of Long Short-Term Memory Networks. | Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sbastien Ourselin, Lauge Srensen |
| 2019 | MICCAI | Physics-Informed Brain MRI Segmentation. | Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sbastien Ourselin, M. Jorge Cardoso |
| 2019 | MICCAI | Learning Task-Specific and Shared Representations in Medical Imaging. | Felix J. S. Bragman, Ryutaro Tanno, Sbastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso |
| 2019 | MICCAI | As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. | Zach Eaton-Rosen, Thomas Varsavsky, Sbastien Ourselin, M. Jorge Cardoso |
| 2019 | MICCAI | Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. | Kerstin Klser, Thomas Varsavsky, Pawel Markiewicz, Tom Vercauteren, David Atkinson, Kris Thielemans, Brian F. Hutton, M. Jorge Cardoso, Sbastien Ourselin |
| 2019 | MICCAI | Privacy-Preserving Federated Brain Tumour Segmentation. | Wenqi Li, Fausto Milletar, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sbastien Ourselin, M. Jorge Cardoso, Andrew Feng |
| 2019 | MICCAI | Towards Quantifying Neurovascular Resilience. | Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jger, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2019 | MICCAI | Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. | Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Srensen, Mads Nielsen, Akshay Pai, Sbastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso |
| 2019 | MICCAI | Knowledge Distillation for Semi-supervised Domain Adaptation. | Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Srensen, Christian Igel, Sbastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai |
| 2019 | MICCAI | Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. | Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sbastien Ourselin, Hans Rolf Jger, M. Jorge Cardoso |
| 2018 | MICCAI | Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. | Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sbastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso |
| 2018 | MICCAI | Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. | Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sbastien Ourselin, M. Jorge Cardoso |
| 2018 | MICCAI | Deep Boosted Regression for MR to CT Synthesis. | Kerstin Klser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sbastien Ourselin |
| 2018 | MICCAI | Elastic Registration of Geodesic Vascular Graphs. | Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jger, Parashkev Nachev, Sbastien Ourselin, M. Jorge Cardoso |
| 2018 | MICCAI | Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs. | Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Klser, Andrew Melbourne, Pawel J. Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sbastien Ourselin |
| 2018 | MICCAI | Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation. | Carla Semedo, M. Jorge Cardoso, Sjoerd B. Vos, Carole H. Sudre, Martina Bocchetta, Annemie Ribbens, Dirk Smeets, Jonathan D. Rohrer, Sbastien Ourselin |
| 2018 | MICCAI | PIMMS: Permutation Invariant Multi-modal Segmentation. | Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso |
| 2017 | MICCAI | Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns. | Ninon Burgos, Jorge Samper-Gonzlez, Anne Bertrand, Marie Odile Habert, Sbastien Ourselin, Stanley Durrleman, M. Jorge Cardoso, Olivier Colliot |
| 2017 | MICCAI | Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients. | Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel, Alister Hart, Sbastien Ourselin, Marc Modat |
| 2017 | MICCAI | Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. | 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, Sbastien Ourselin |
| 2017 | MICCAI | Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. | Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sbastien Ourselin, M. Jorge Cardoso |
| 2016 | MICCAI | Joint Segmentation and CT Synthesis for MRI-only Radiotherapy Treatment Planning. | Ninon Burgos, Filipa Guerreiro, Jamie McClelland, Simeon Nill, David Dearnaley, Nandita deSouza, Uwe Oelfke, Antje-Christin Knopf, Sbastien Ourselin, M. Jorge Cardoso |
| 2016 | MICCAI | Beyond the Resolution Limit: Diffusion Parameter Estimation in Partial Volume. | Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, Sbastien Ourselin |
| 2016 | MICCAI | Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. | Ferran Prados, M. Jorge Cardoso, Niamh Cawley, Baris Kanber, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sbastien Ourselin |
| 2015 | MICCAI | Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI. | Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sbastien Ourselin |