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Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors.

A. Grigis, V. Noblet, F. Renard, F. Heitz, J. Armspach, и L. Rumbach. MICCAI (2), том 6362 из Lecture Notes in Computer Science, стр. 117-124. Springer, (2010)

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Antoine Jammal

Jacques Antoine

Antoine Kahn

Antoine Derighetti

Rainer Antoine

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Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification.B. Dufumier, P. Gori, J. Victor, A. Grigis, M. Wessa, P. Brambilla, P. Favre, M. Polosan, C. McDonald, C. Piguet и 1 other автор(ы). CoRR, (2021)Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification.B. Dufumier, P. Gori, J. Victor, A. Grigis, M. Wessa, P. Brambilla, P. Favre, M. Polosan, C. McDonald, C. Piguet и 3 other автор(ы). MICCAI (2), том 12902 из Lecture Notes in Computer Science, стр. 58-68. Springer, (2021)Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.B. Dufumier, P. Gori, S. Petiton, R. Louiset, J. Mangin, A. Grigis, и E. Duchesnay. NeuroImage, (2024)Separating common from salient patterns with Contrastive Representation Learning.R. Louiset, E. Duchesnay, A. Grigis, и P. Gori. ICLR, OpenReview.net, (2024)The chaotic morphology of the left superior temporal sulcus is genetically constrained.Y. Guen, F. Leroy, G. Auzias, D. Rivière, A. Grigis, J. Mangin, O. Coulon, G. Dehaene-Lambertz, и V. Frouin. NeuroImage, (2018)Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.A. Grigis, V. Noblet, F. Blanc, F. Heitz, J. de Seze, и J. Armspach. MICCAI (2), том 6892 из Lecture Notes in Computer Science, стр. 1-8. Springer, (2011)Supervised Diagnosis Prediction from Cortical Sulci: Toward the Discovery of Neurodevelopmental Biomarkers in Mental Disorders.P. Auriau, A. Grigis, B. Dufumier, R. Louiset, J. Chavas, P. Gori, J. Mangin, и E. Duchesnay. ISBI, стр. 1-5. IEEE, (2024)UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning.R. Louiset, P. Gori, B. Dufumier, J. Houenou, A. Grigis, и E. Duchesnay. ECML/PKDD (1), том 12975 из Lecture Notes in Computer Science, стр. 755-771. Springer, (2021)Characterization of Brain Activity Patterns Across States of Consciousness Based on Variational Auto-Encoders.C. Gomez, A. Grigis, L. Uhrig, и B. Jarraya. MICCAI (1), том 13431 из Lecture Notes in Computer Science, стр. 419-429. Springer, (2022)Structural-Connectivity-Based Individual Parcellations Improve Regional Cortical Thickness Heritability Study.C. Langlet, D. Rivière, A. Grigis, V. Frouin, и J. Mangin. ISBI, стр. 1-5. IEEE, (2024)

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