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Dominique Sappey-Marinier
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2020 – today
- 2024
- [j14]Fanny Nusbaum
, Salem Hannoun
, Berardino Barile
, Ilaria Suprano
, Sabine Mouchet, Dominique Sappey-Marinier
:
Personal Income Performance Correlates with Brain Structural Network Modularity but Not Intelligence Quotient. Brain Connect. 14(5): 284-293 (2024) - 2023
- [j13]Pooya Ashtari
, Diana Maria Sima
, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes
, Sabine Van Huffel:
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation. Medical Image Anal. 84: 102706 (2023) - 2022
- [j12]Berardino Barile
, Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Ensemble Learning for Multiple Sclerosis Disability Estimation Using Brain Structural Connectivity. Brain Connect. 12(5): 476-488 (2022) - [j11]Berardino Barile, Pooya Ashtari
, Claudio Stamile, Aldo Marzullo, Frederik Maes
, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier:
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome. Frontiers Robotics AI 9 (2022) - [j10]Daniele Cafolla, Francesco Calimeri, Huiping Cao, Matteo Russo, Dominique Sappey-Marinier, Paolo Zaffino:
Editorial: Hot topic: Reducing operating times and complication rates through robot-assisted surgery. Frontiers Robotics AI 9 (2022) - [c14]Berardino Barile, Pooya Ashtari, Françoise Durand-Dubief, Frederik Maes
, Dominique Sappey-Marinier, Sabine Van Huffel:
A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification. ESANN 2022 - [i2]Pooya Ashtari, Diana Maria Sima, Lieven De Lathauwer, Dominique Sappey-Marinier, Frederik Maes, Sabine Van Huffel:
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation. CoRR abs/2202.12295 (2022) - 2021
- [j9]Berardino Barile, Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis. Comput. Methods Programs Biomed. 206: 106113 (2021) - [j8]Francesco Calimeri
, Francesco Cauteruccio
, Luca Cinelli
, Aldo Marzullo, Claudio Stamile, Giorgio Terracina
, Françoise Durand-Dubief, Dominique Sappey-Marinier:
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. Theory Pract. Log. Program. 21(1): 80-124 (2021) - 2020
- [j7]Claudio Stamile
, François Cotton
, Dominique Sappey-Marinier, Sabine Van Huffel
:
Constrained Tensor Decomposition for Longitudinal Analysis of Diffusion Imaging Data. IEEE J. Biomed. Health Informatics 24(4): 1137-1148 (2020) - [c13]Berardino Barile, Aldo Marzullo, Claudio Stamile, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple Sclerosis. ICPR 2020: 5052-5059
2010 – 2019
- 2019
- [c12]Aldo Marzullo, Gabriel Kocevar, Claudio Stamile, Francesco Calimeri
, Giorgio Terracina, Françoise Durand-Dubief, Dominique Sappey-Marinier:
Prediction of Multiple Sclerosis Patient Disability from Structural Connectivity using Convolutional Neural Networks. EMBC 2019: 2087-2090 - [c11]Claudio Stamile, François Cotton, Dominique Sappey-Marinier, Sabine Van Huffel:
Tensor Based Blind Source Separation in Longitudinal Magnetic Resonance Imaging Analysis. EMBC 2019: 3879-3883 - [i1]Francesco Calimeri, Francesco Cauteruccio, Luca Cinelli, Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Françoise Durand-Dubief, Dominique Sappey-Marinier:
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. CoRR abs/1910.09472 (2019) - 2018
- [p1]Francesco Cauteruccio
, Claudio Stamile, Giorgio Terracina
, Domenico Ursino
, Dominique Sappey-Marinier:
Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent" and "Symmetry-Aware" White Matter Fiber-Bundles. Multidisciplinary Approaches to Neural Computing 2018: 39-46 - 2017
- [j6]Claudio Stamile
, Gabriel Kocevar
, François Cotton
, Dominique Sappey-Marinier
:
A genetic algorithm-based model for longitudinal changes detection in white matter fiber-bundles of patient with multiple sclerosis. Comput. Biol. Medicine 84: 182-188 (2017) - [j5]Claudio Stamile
, Gabriel Kocevar
, François Cotton, Frederik Maes
, Dominique Sappey-Marinier
, Sabine Van Huffel:
Multiparametric Non-Negative Matrix Factorization for Longitudinal Variations Detection in White-Matter Fiber Bundles. IEEE J. Biomed. Health Informatics 21(5): 1393-1402 (2017) - [c10]Adrian Ion-Margineanu, Gabriel Kocevar, Claudio Stamile, Diana Maria Sima
, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier:
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations. ICANN (2) 2017: 643-651 - 2016
- [j4]Francesco Cauteruccio
, Claudio Stamile
, Giorgio Terracina
, Domenico Ursino
, Dominique Sappey-Marinier
:
An automated string-based approach to extracting and characterizing White Matter fiber-bundles. Comput. Biol. Medicine 77: 64-75 (2016) - [c9]Francesco Cauteruccio
, Claudio Stamile
, Giorgio Terracina
, Domenico Ursino
, Dominique Sappey-Marinier:
Improving QuickBundles to Extract Anatomically Coherent White Matter Fiber-Bundles. ICIAR 2016: 633-641 - [c8]Claudio Stamile
, François Cotton, Frederik Maes
, Dominique Sappey-Marinier, Sabine Van Huffel:
White Matter Fiber-Bundle Analysis Using Non-negative Tensor Factorization. ICIAR 2016: 650-657 - [c7]Claudio Stamile
, François Cotton, Dominique Sappey-Marinier, Sabine Van Huffel:
Longitudinal Neuroimaging Analysis Using Non-Negative Matrix Factorization. SITIS 2016: 55-61 - 2015
- [c6]Claudio Stamile
, Francesco Cauteruccio
, Giorgio Terracina
, Domenico Ursino
, Gabriel Kocevar, Dominique Sappey-Marinier:
A Model-Guided String-Based Approach to White Matter Fiber-Bundles Extraction. BIH 2015: 135-144 - [c5]Claudio Stamile
, Gabriel Kocevar, Salem Hannoun
, Françoise Durand-Dubief, Dominique Sappey-Marinier:
A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine. MLMMI@ICML 2015: 57-64 - [c4]Francesco Cauteruccio
, Claudio Stamile
, Giorgio Terracina
, Domenico Ursino
, Dominique Sappey-Marinier:
An automated string-based approach to White Matter fiber-bundles clustering. IJCNN 2015: 1-8 - [c3]Claudio Stamile
, Gabriel Kocevar, François Cotton, Salem Hannoun
, Françoise Durand-Dubief, Carole Frindel
, David Rousseau, Dominique Sappey-Marinier:
A longitudinal model for variations detection in white matter fiber-bundles. IWSSIP 2015: 57-60 - 2012
- [j3]Matthieu Bagory, Françoise Durand-Dubief, Danielle Ibarrola, Jean-Christophe Comte, François Cotton
, Christian Confavreux, Dominique Sappey-Marinier
:
Implementation of an Absolute Brain $^{1}$H-MRS Quantification Method to Assess Different Tissue Alterations in Multiple Sclerosis. IEEE Trans. Biomed. Eng. 59(10): 2687-2694 (2012)
2000 – 2009
- 2006
- [j2]Solene Valton, Françoise Peyrin
, Dominique Sappey-Marinier
:
Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods. Int. J. Biomed. Imaging 2006: 80421:1-80421:8 (2006) - [j1]Sridar Narayanan, Simon J. Francis, John G. Sled
, A. C. Santos, Samson Antel, Ives R. Levesque
, Steven Brass, Yves Lapierre, Dominique Sappey-Marinier
, G. Bruce Pike
, Douglas L. Arnold
:
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 29(2): 637-642 (2006) - [c2]Solene Valton, Françoise Peyrin
, Dominique Sappey-Marinier:
A comparative study of three tomographic reconstruction methods in cone beam off-centered circular geometry. ISBI 2006: 1228-1231 - 2005
- [c1]Solene Valton, Françoise Peyrin
, Dominique Sappey-Marinier:
Generalization of FDK 3D tomographic reconstruction algorithm for an off-centered cone beam geometry. ICIP (3) 2005: 620-623
Coauthor Index
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last updated on 2024-08-08 19:18 CEST by the dblp team
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