MC
M. Jorge Cardoso
cs.CVeess.IVcs.LGAlgorithmsMagnetic Resonance ImagingMRIcs.AIAlzheimer's diseaseMagnetic resonance imagingImage Processing, Computer-Assisted
On Valency
published · living versionsW_7d8qcew8·v1 · currentpublished
Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation
with Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge, Hamza A. Salhab +4
1 version
W_ctyr365s·v1published
W_z8wecm87·v1published
Preprints & journals
266 papers in the corpus · 2007–2026Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation2610.31505v1 · Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge et al.2026 · 0 citationsMachine.Learning.for.Biomedical.Imaging. 2026 (2026)on Valency
Diffusion-Based Quality Control of Medical Image Segmentations Across Organs.42467579 · Marciano, Vincenzo, Chaptoukaev, Hava, Fernandez, Virginia et al.2026 · 0 citationsIEEE transactions on medical imaging. 2026;45(10):5072-5083
Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study2609.36001v1 · Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul et al.2026 · 0 citationsarXiv
In silico modelling of changes in spinal cord blood flow after endovascular aortic aneurysm repair.41911607 · Rasiah, Michael Greshan, Konings, Tom J A J, Nio, Amanda et al.2026 · 0 citationsComputer methods and programs in biomedicine. 2026;280:109336
CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation2603.06426v1 · Parhom Esmaeili, Chayanin Tangwiriyasakul, Eli Gibson et al.2026 · 0 citationsarXiv
Deep generative computed perfusion-deficit mapping of ischaemic stroke.41639340 · Tangwiriyasakul, Chayanin, Borges, Pedro, Pombo, Guilherme et al.2026 · 0 citationsCommunications biology. 2026;9(1):219
Dynamic causal discovery in Alzheimer's disease through latent pseudotime modelling2511.04619v1 · Natalia Glazman, Jyoti Mangal, Pedro Borges et al.2025 · 0 citationsarXiv
A methodology for clinically driven interactive segmentation evaluation2510.09499v1 · Parhom Esmaeili, Virginia Fernandez, Pedro Borges et al.2025 · 0 citationsarXiv
Controllable Surface Diffusion Generative Model for Neurodevelopmental Trajectories2508.03706v2 · Zhenshan Xie, Levente Baljer, M. Jorge Cardoso et al.2025 · 1 citationarXiv
Differential patterns of cortical expansion in fetal and preterm brain development.40475433 · da Silva, Mariana, Liang, Kaili, Garcia, Kara E et al.2025 · 2 citationsbioRxiv : the preprint server for biology. 2025
MAIS: Memory-Attention for Interactive Segmentation2505.07511v1 · Mauricio Orbes-Arteaga, Oeslle Lucena, Sabastien Ourselin et al.2025 · 0 citationsarXiv
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims2505.04720v2 · Evangelia Christodoulou, Annika Reinke, Pascaline Andre et al.2025 · 2 citationsarXiv
Resolution Invariant Autoencoder2503.09828v1 · Ashay Patel, Michela Antonelli, Sebastien Ourselin et al.2025 · 1 citationarXiv
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare.39909534 · Lekadir, Karim, Frangi, Alejandro F, Porras, Antonio R et al.2026 · 771 citationsBMJ (Clinical research ed.). 2025;388:e081554
SLaM Image Bank - a real-world diverse London cohort linking brain MRI to electronic mental health and dementia records for the development of clinical decision support tools using artificial intelligence10.1101/2025.01.07.25319950v1 · Venkataraman, A. V., Wright, P., Jewell, A. et al.2025 · 1 citationmedRxiv
Current State of Community-Driven Radiological AI Deployment in Medical Imaging.39653370 · Gupta, Vikash, Erdal, Barbaros, Ramirez, Carolina et al.2025 · 34 citationsJMIR AI. 2024;3:e55833
Confidence intervals uncovered: Are we ready for real-world medical imaging AI?2409.17763v2 · Evangelia Christodoulou, Annika Reinke, Rola Houhou et al.2024 · 12 citationsarXiv
Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning.39169209 · Nderitu, Paul, Nunez do Rio, Joan M, Webster, Laura et al.2024 · 15 citationsCommunications medicine. 2024;4(1):167
Generating multi-pathological and multi-modal images and labels for brain MRI.39059240 · Fernandez, Virginia, Pinaya, Walter Hugo Lopez, Borges, Pedro et al.2024 · 18 citationsMedical image analysis. 2024;97:103278
Rivaroxaban for stroke patients with antiphospholipid syndrome (RISAPS): protocol for a randomized controlled, phase IIb proof-of-principle trial.39139554 · Mittal, Prabal, Gafoor, Rafael, Sayar, Zara et al.2024 · 4 citationsResearch and practice in thrombosis and haemostasis. 2024;8(5):102468
Effect of socioeconomic deprivation as determined by the English deprivation deciles on the progression of diabetic retinopathy and maculopathy: a multivariate case-control analysis of 88 910 patients attending a South-East London diabetic eye screening service.37380352 · Giannakis, Periklis, Nderitu, Paul, Nunez do Rio, Joan M et al.2024 · 1 citationThe British journal of ophthalmology. 2024;108(5):747-752
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images.38776843 · Diaz-Pinto, Andres, Alle, Sachidanand, Nath, Vishwesh et al.2024 · 159 citationsMedical image analysis. 2024;95:103207
Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study2404.04025v1 · Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi et al.2024 · 1 citationarXiv
Understanding metric-related pitfalls in image analysis validation.36945687 · Reinke, Annika, Tizabi, Minu D, Baumgartner, Michael et al.2025 · 233 citationsArXiv. 2024
Cortical Surface Diffusion Generative Models2402.04753v1 · Zhenshan Xie, Simon Dahan, Logan Z. J. Williams et al.2024 · 0 citationsarXiv
Metrics reloaded: recommendations for image analysis validation.38347141 · Maier-Hein, Lena, Reinke, Annika, Godau, Patrick et al.2024 · 539 citationsNature methods. 2024;21(2):195-212
Realistic morphology-preserving generative modelling of the brain.39055051 · Tudosiu, Petru-Daniel, Pinaya, Walter H L, Ferreira Da Costa, Pedro et al.2024 · 47 citationsNature machine intelligence. 2024;6(7):811-819
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking.39205863 · Patel, Ashay, Tudosiu, Petru-Daniel, Pinaya, Walter H L et al.2026 · 8 citations... IEEE International Conference on Computer Vision workshops. IEEE International Conference on Computer Vision. 2023;2023:2394-2402
Acquisition-invariant brain MRI segmentation with informative uncertainties.38104403 · Borges, Pedro, Shaw, Richard, Varsavsky, Thomas et al.2024 · 9 citationsMedical image analysis. 2024;92:103058
RAISE -- Radiology AI Safety, an End-to-end lifecycle approach2311.14570v1 · M. Jorge Cardoso, Julia Moosbauer, Tessa S. Cook et al.2023 · 1 citationarXiv
A 3D generative model of pathological multi-modal MR images and segmentations2311.04552v1 · Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges et al.2023 · 8 citationsarXiv
Federated learning for medical imaging radiology.38011227 · Rehman, Muhammad Habib Ur, Hugo Lopez Pinaya, Walter, Nachev, Parashkev et al.2023 · 103 citationsThe British journal of radiology. 2023;96(1150):20220890
Latent Transformer Models for out-of-distribution detection.37778102 · Graham, Mark S, Tudosiu, Petru-Daniel, Wright, Paul et al.2023 · 18 citationsMedical image analysis. 2023;90:102967
InverseSR: 3D Brain MRI Super-Resolution Using a Latent Diffusion Model2308.12465v1 · Jueqi Wang, Jacob Levman, Walter Hugo Lopez Pinaya et al.2023 · 24 citationsarXiv
Generative AI for Medical Imaging: extending the MONAI Framework2307.15208v1 · Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot et al.2023 · 52 citationsarXiv
Unsupervised 3D out-of-distribution detection with latent diffusion models2307.03777v1 · Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright et al.2023 · 14 citationsarXiv
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images2305.10655v1 · Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle et al.2023 · 27 citationsarXiv
Operationalizing the centiloid scale for [18F]florbetapir PET studies on PET/MRI.37201176 · Coath, William, Modat, Marc, Cardoso, M Jorge et al.2025 · 25 citationsAlzheimer's & dementia (Amsterdam, Netherlands). 2023;15(2):e12434
Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring.38292346 · Aristimunha, Bruno, Bayerlein, Alexandre Janoni, Cardoso, M Jorge et al.2025 · 3 citationsIEEE access : practical innovations, open solutions. 2023;11:34595-34602
Geometry-invariant abnormality detection.39206415 · Patel, Ashay, Tudosiu, Petru-Daniel, Pinaya, Walter Hugo Lopez et al.2026 · 2 citationsMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 2023;2023:300-309
NiftyPAD - Novel Python Package for Quantitative Analysis of Dynamic PET Data.36622500 · Jiao, Jieqing, Heeman, Fiona, Dixon, Rachael et al.2023 · 4 citationsNeuroinformatics. 2023;21(2):457-468
Transformer-based normative modelling for anomaly detection of early schizophrenia2212.04984v1 · Pedro F Da Costa, Jessica Dafflon, Sergio Leonardo Mendes et al.2022 · 3 citationsarXiv
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models.36542907 · Pombo, Guilherme, Gray, Robert, Cardoso, M Jorge et al.2023 · 47 citationsMedical image analysis. 2023;84:102723
Denoising diffusion models for out-of-distribution detection2211.07740v4 · Mark S. Graham, Walter H.L. Pinaya, Petru-Daniel Tudosiu et al.2022 · 81 citationsarXiv
MONAI: An open-source framework for deep learning in healthcare2211.02701v1 · M. Jorge Cardoso, Wenqi Li, Richard Brown et al.2022 · 484 citationsarXiv
Can segmentation models be trained with fully synthetically generated data?2209.08256v1 · Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges et al.2022 · 53 citationsarXiv
Brain Imaging Generation with Latent Diffusion Models2209.07162v1 · Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon et al.2022 · 389 citationsarXiv
Accelerated vascular aging: Ethnic differences in basilar artery length and diameter, and its association with cardiovascular risk factors and cerebral small vessel disease.35966566 · Sudre, Carole H, Moriconi, Stefano, Rehwald, Rafael et al.2026 · 6 citationsFrontiers in cardiovascular medicine. 2022;9:939680
The Medical Segmentation Decathlon.35840566 · Antonelli, Michela, Reinke, Annika, Bakas, Spyridon et al.2022 · 1,372 citationsNature communications. 2022;13(1):4128
Automated image curation in diabetic retinopathy screening using deep learning.35778615 · Nderitu, Paul, Nunez do Rio, Joan M, Webster, Ms Laura et al.2022 · 19 citationsScientific reports. 2022;12(1):11196
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