Geomstats: A python package for riemannian geometry in machine learning. N Miolane, N Guigui, A Le Brigant, M Johan, B Hou, Y Thanwerdas, ... Journal of Machine Learning Research 21 (223), 1-9, 2020 | 120* | 2020 |
Insights from an autism imaging biomarker challenge: promises and threats to biomarker discovery N Traut, K Heuer, G Lemaître, A Beggiato, D Germanaud, M Elmaleh, ... NeuroImage 255, 119171, 2022 | 37 | 2022 |
Numerical accuracy of ladder schemes for parallel transport on manifolds N Guigui, X Pennec Foundations of Computational Mathematics 22 (3), 757-790, 2022 | 18 | 2022 |
Iclr 2021 challenge for computational geometry & topology: Design and results N Miolane, M Caorsi, U Lupo, M Guerard, N Guigui, J Mathe, Y Cabanes, ... arXiv preprint arXiv:2108.09810, 2021 | 16 | 2021 |
Introduction to riemannian geometry and geometric statistics: from basic theory to implementation with geomstats N Guigui, N Miolane, X Pennec Foundations and Trends® in Machine Learning 16 (3), 329-493, 2023 | 13 | 2023 |
Introduction to geometric learning in python with geomstats N Miolane, N Guigui, H Zaatiti, C Shewmake, H Hajri, D Brooks, ... SciPy 2020-19th Python in Science Conference, 48-57, 2020 | 12 | 2020 |
Symmetric algorithmic components for shape analysis with diffeomorphisms N Guigui, S Jia, M Sermesant, X Pennec Geometric Science of Information: 4th International Conference, GSI 2019 …, 2019 | 11 | 2019 |
Cardiac motion modeling with parallel transport and shape splines N Guigui, P Moceri, M Sermesant, X Pennec 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1394-1397, 2021 | 10 | 2021 |
A reduced parallel transport equation on Lie Groups with a left-invariant metric N Guigui, X Pennec Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021 | 10 | 2021 |
Parallel transport on kendall shape spaces N Guigui, E Maignant, A Trouvé, X Pennec Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021 | 7 | 2021 |
Classifying histograms of medical data using information geometry of beta distributions A Le Brigant, N Guigui, S Rebbah, S Puechmorel IFAC-PapersOnLine 54 (9), 514-520, 2021 | 6 | 2021 |
A bi-invariant statistical model parametrized by mean and covariance on rigid motions E Chevallier, N Guigui Entropy 22 (4), 432, 2020 | 6 | 2020 |
Parallel transport, a central tool in geometric statistics for computational anatomy: Application to cardiac motion modeling N Guigui, X Pennec Handbook of Statistics 46, 285-326, 2022 | 5 | 2022 |
Investigation of the impact of normalization on the study of interactions between myocardial shape and deformation M Di Folco, N Guigui, P Clarysse, P Moceri, N Duchateau International Conference on Functional Imaging and Modeling of the Heart …, 2021 | 3 | 2021 |
Network regularization in imaging genetics improves prediction performances and model interpretability on Alzheimer’s disease N Guigui, C Philippe, A Gloaguen, S Karkar, V Guillemot, T Löfstedt, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 3 | 2019 |
Estimation statistique dans les variétés Riemanniennes: implémentation et application à l’étude des déformations cardiaques N Guigui Université Côte d'Azur, 2021 | 2 | 2021 |
Wrapped Statistical Models on Manifolds: Motivations, The Case SE(n), and Generalization to Symmetric Spaces E Chevallier, N Guigui Workshop on Joint Structures and Common Foundations of Statistical Physics …, 2020 | 1 | 2020 |
Comparison of Different Parallel Transport Methods for the Study of Deformations in 3D Cardiac Data P Piras, N Guigui, V Varano Journal of Mathematical Imaging and Vision, 1-23, 2024 | | 2024 |
Multi-Spectral Reflection Matrix for Ultra-Fast 3D Label-Free Microscopy P Balondrade, V Barolle, N Guigui, E Auriant, N Rougier, C Boccara, ... arXiv preprint arXiv:2309.10951, 2023 | | 2023 |
Computational methods for statistical estimation on Riemannian manifolds and application to the study of the cardiac deformations N Guigui Université Côte d'Azur, 2021 | | 2021 |