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Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.

, , , , , , , и . Frontiers Robotics AI, (2022)

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Françoise Dorison

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Другие публикации лиц с тем же именем

A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine., , , , и . MLMMI@ICML, том 9487 из Lecture Notes in Computer Science, стр. 57-64. Springer, (2015)Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis., , , , и . Comput. Methods Programs Biomed., (2021)Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity., , , , и . Brain Connect., 12 (5): 476-488 (2022)Implementation of an Absolute Brain $^1$H-MRS Quantification Method to Assess Different Tissue Alterations in Multiple Sclerosis., , , , , , и . IEEE Trans. Biomed. Eng., 59 (10): 2687-2694 (2012)Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome., , , , , , , и . Frontiers Robotics AI, (2022)A More Interpretable Classifier For Multiple Sclerosis., , , , и . ISBI, стр. 1062-1066. IEEE, (2021)A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations., , , , , , и . ICANN (2), том 10614 из Lecture Notes in Computer Science, стр. 643-651. Springer, (2017)A longitudinal model for variations detection in white matter fiber-bundles., , , , , , , и . IWSSIP, стр. 57-60. IEEE, (2015)A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders., , , , , , , и . CoRR, (2019)A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection., , , , и . IEEE Trans. Medical Imaging, 42 (11): 3336-3347 (ноября 2023)