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Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation.

, , , , , , and . DART/FAIR@MICCAI, volume 12968 of Lecture Notes in Computer Science, page 101-111. Springer, (2021)

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Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 483-492. PMLR, (2019)Informative Views and Sequential Recognition., and . ECCV (1), volume 1064 of Lecture Notes in Computer Science, page 469-481. Springer, (1996)Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss., and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 392-402. Springer, (2017)Entropy-based gaze planning., and . Image Vis. Comput., 19 (11): 779-786 (2001)Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI., , and . BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 108-118. Springer, (2019)IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI., , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 514-526. Springer, (2015)Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images., , , , , , , , , and 9 other author(s). Medical Image Anal., (2016)Task dependent deep LDA pruning of neural networks., , and . Comput. Vis. Image Underst., (2021)CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images., , and . ISBI, page 127-130. IEEE, (2020)Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI., , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 387-406. PMLR, (2022)