Dominique Sappey-Marinier
Orcid: 0000-0003-4104-1514
According to our database1,
Dominique Sappey-Marinier
authored at least 28 papers
between 2005 and 2023.
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Bibliography
2023
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Medical Image Anal., 2023
2022
Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery.
Frontiers Robotics AI, 2022
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.
Frontiers Robotics AI, 2022
Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity.
Brain Connect., 2022
A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders.
Theory Pract. Log. Program., 2021
Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis.
Comput. Methods Programs Biomed., 2021
2020
Constrained Tensor Decomposition for Longitudinal Analysis of Diffusion Imaging Data.
IEEE J. Biomed. Health Informatics, 2020
Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Tensor Based Blind Source Separation in Longitudinal Magnetic Resonance Imaging Analysis.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent" and "Symmetry-Aware" White Matter Fiber-Bundles.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
2017
Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles.
IEEE J. Biomed. Health Informatics, 2017
A genetic algorithm-based model for longitudinal changes detection in white matter fiber-bundles of patient with multiple sclerosis.
Comput. Biol. Medicine, 2017
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
2016
An automated string-based approach to extracting and characterizing White Matter fiber-bundles.
Comput. Biol. Medicine, 2016
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015
2012
Implementation of an Absolute Brain $^{1}$H-MRS Quantification Method to Assess Different Tissue Alterations in Multiple Sclerosis.
IEEE Trans. Biomed. Eng., 2012
2006
Axonal injury in the cerebral normal-appearing white matter of patients with multiple sclerosis is related to concurrent demyelination in lesions but not to concurrent demyelination in normal-appearing white matter.
NeuroImage, 2006
Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods.
Int. J. Biomed. Imaging, 2006
A comparative study of three tomographic reconstruction methods in cone beam off-centered circular geometry.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2005
Generalization of FDK 3D tomographic reconstruction algorithm for an off-centered cone beam geometry.
Proceedings of the 2005 International Conference on Image Processing, 2005