Showing 1–13 of 13 results
/ Date/ Name
May 26, 2023Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistencyNov 15, 2023Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationJul 16, 2025Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple SclerosisJul 8, 2024Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisNov 9, 2022Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosisApr 7, 2025Explaining Uncertainty in Multiple Sclerosis Cortical Lesion Segmentation Beyond Prediction ErrorsApr 13, 2026Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 ChallengeJan 19, 2026From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and modelsJun 13, 2024Instance-level quantitative saliency in multiple sclerosis lesion segmentationAug 21, 2024Exploiting XAI maps to improve MS lesion segmentation and detection in MRIJun 30, 2022Shifts 2.0: Extending The Dataset of Real Distributional ShiftsFeb 10, 2023Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion SegmentationDec 9, 2025Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts