Françoise Durand-Dubief
Orcid: 0000-0002-2860-1700
According to our database1,
Françoise Durand-Dubief
authored at least 15 papers
between 2012 and 2025.
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Bibliography
2025
Explainable monotonic networks and constrained learning for interpretable classification and weakly supervised anomaly detection.
Pattern Recognit., 2025
2023
A Weakly Supervised Gradient Attribution Constraint for Interpretable Classification and Anomaly Detection.
IEEE Trans. Medical Imaging, November, 2023
Computational Reproducibility in Metabolite Quantification Applied to Short Echo Time In Vivo MR Spectroscopy.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
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
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
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
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
2015
Proceedings of the International Conference on Systems, Signals and Image Processing, 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
2012
Implementation of an Absolute Brain $^{1}$H-MRS Quantification Method to Assess Different Tissue Alterations in Multiple Sclerosis.
IEEE Trans. Biomed. Eng., 2012