C. Stamile

N. Costes, A. Hammers, C. Stamile, 2016, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

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

S. Huffel, S. Van Huffel, D. Sappey-Marinier, 2022, Frontiers in Robotics and AI.

Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks

Giorgio Terracina, Francesco Calimeri, Aldo Marzullo, 2019, Front. Neurosci..

Unsupervised Models for White Matter Fiber-Bundles Analysis in Multiple Sclerosis

Claudio Stamile, C. Stamile, Claudio Stamile, 2017 .

A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis

David Rousseau, Charles R. G. Guttmann, Carole Frindel, 2016, PloS one.

A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction

Giorgio Terracina, Domenico Ursino, Francesco Cauteruccio, 2015, BIH.

Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses

François Cotton, Claudio Stamile, Gabriel Kocevar, 2016, Front. Neurosci..

A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders

Giorgio Terracina, Francesco Calimeri, Francesco Cauteruccio, 2019, Theory and Practice of Logic Programming.

Inducing Clinical Course Variations in Multiple Sclerosis White Matter Networks

Francesco Calimeri, Aldo Marzullo, Claudio Stamile, 2019, Advances in Intelligent Systems and Computing.

Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks

Giorgio Terracina, Francesco Calimeri, Aldo Marzullo, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Mixing Logic Programming and Neural Networks to Support Neurological Disorders Analysis

Giorgio Terracina, Francesco Calimeri, Francesco Cauteruccio, 2018, RuleML+RR.

Graph based neural networks for automatic classification of multiple sclerosis clinical courses

Giorgio Terracina, Francesco Calimeri, Aldo Marzullo, 2018, ESANN.

Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis

Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, 2021, Comput. Methods Programs Biomed..

Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity

D. Sappey-Marinier, A. Marzullo, C. Stamile, 2021, Brain Connect..

Weekly follow up of acute lesions in three early multiple sclerosis patients using MR spectroscopy and diffusion.

S. Vukusic, D. Sappey-Marinier, C. Stamile, 2017, Journal of neuroradiology. Journal de neuroradiologie.

Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis

Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Corrigendum: Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study

S. Achard, C. Delon-Martin, D. Sappey-Marinier, 2020, Frontiers in Human Neuroscience.

White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization

Frederik Maes, Sabine Van Huffel, Claudio Stamile, 2016, ICIAR.

A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine

Claudio Stamile, Gabriel Kocevar, Françoise Durand-Dubief, 2015, MLMMI@ICML.

Case Report: True Motor Recovery of Upper Limb Beyond 5 Years Post-stroke

J. Luauté, G. Rode, J. Redouté, 2022, Frontiers in Neurology.

A genetic algorithm-based model for longitudinal changes detection in white matter fiber-bundles of patient with multiple sclerosis

François Cotton, Claudio Stamile, Gabriel Kocevar, 2017, Comput. Biol. Medicine.

Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles

Sabine Van Huffel, Frederik Maes, François Cotton, 2017, IEEE Journal of Biomedical and Health Informatics.

Constrained Tensor Decomposition for Longitudinal Analysis of Diffusion Imaging Data

Sabine Van Huffel, Claudio Stamile, Dominique Sappey-Marinier, 2020, IEEE Journal of Biomedical and Health Informatics.