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ORCIDNicolas Guigui
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2020 – today
- 2024
[j5]Paolo Piras, Nicolas Guigui, Valerio Varano:
Comparison of Different Parallel Transport Methods for the Study of Deformations in 3D Cardiac Data. J. Math. Imaging Vis. 66(3): 393-415 (2024)- 2023
- [j4]Nicolas Guigui, Nina Miolane, Xavier Pennec:
Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats. Found. Trends Mach. Learn. 16(3): 329-493 (2023) - 2022
- [j3]Nicolas Guigui
, Xavier Pennec:
Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. Found. Comput. Math. 22(3): 757-790 (2022) - [j2]Nicolas Traut, Katja Heuer, Guillaume Lemaître, Anita Beggiato, David Germanaud, Monique Elmaleh, Alban Bethegnies, Laurent Bonnasse-Gahot, Weidong Cai, Stanislas Chambon, Freddy Cliquet, Ayoub Ghriss, Nicolas Guigui, Amicie de Pierrefeu, Meng Wang, Valentina Zantedeschi, Alexandre Boucaud, Joris Van den Bossche, Balázs Kégl, Richard Delorme, Thomas Bourgeron, Roberto Toro, Gaël Varoquaux:
Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. NeuroImage 255: 119171 (2022) - 2021
- [b1]Nicolas Guigui:
Computational methods for statistical estimation on Riemannian manifolds and application to the study of the cardiac deformations. (Estimation statistique dans les variétés Riemanniennes : implémentation et application à l'étude des déformations cardiaques). University of Côte d'Azur, Nice, France, 2021 - [c8]Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau:
Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation. FIMH 2021: 223-231 - [c7]Nicolas Guigui, Elodie Maignant, Alain Trouvé, Xavier Pennec:
Parallel Transport on Kendall Shape Spaces. GSI 2021: 103-110 - [c6]Nicolas Guigui, Xavier Pennec:
A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric. GSI 2021: 119-126 - [c5]Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Modeling With Parallel Transport And Shape Splines. ISBI 2021: 1394-1397 - [i6]Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec:
Cardiac Motion Modeling with Parallel Transport and Shape Splines. CoRR abs/2102.08665 (2021) - [i5]Nina Miolane, Matteo Caorsi, Umberto Lupo, Marius Guerard, Nicolas Guigui, Johan Mathe, Yann Cabanes, Wojciech Reise, Thomas Davies, António Leitão, Somesh Mohapatra, Saiteja Utpala, Shailja Shailja, Gabriele Corso, Guoxi Liu, Federico Iuricich, Andrei Manolache, Mihaela Nistor, Matei Bejan, Armand Mihai Nicolicioiu, Bogdan-Alexandru Luchian, Mihai-Sorin Stupariu, Florent Michel, Khanh Dao Duc, Bilal Abdulrahman, Maxim Beketov, Elodie Maignant, Zhiyuan Liu, Marek Cerný, Martin Bauw, Santiago Velasco-Forero, Jesús Angulo, Yanan Long:
ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR abs/2108.09810 (2021) - 2020
- [j1]Emmanuel Chevallier, Nicolas Guigui:
A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions. Entropy 22(4): 432 (2020) - [c4]Nina Miolane, Nicolas Guigui, Hadi Zaatiti, Christian Shewmake, Hatem Hajri, Daniel Brooks, Alice Le Brigant, Johan Mathe, Benjamin Hou, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Yann Cabanes, Thomas Gerald, Paul Chauchat, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Introduction to Geometric Learning in Python with Geomstats. SciPy 2020: 48-57 - [c3]Emmanuel Chevallier, Nicolas Guigui:
Wrapped Statistical Models on Manifolds: Motivations, The Case SE(n), and Generalization to Symmetric Spaces. SPIGL 2020: 96-106 - [i4]Nina Miolane, Alice Le Brigant, Johan Mathe, Benjamin Hou, Nicolas Guigui, Yann Thanwerdas, Stefan Heyder, Olivier Peltre, Niklas Koep, Hadi Zaatiti, Hatem Hajri, Yann Cabanes, Thomas Gerald, Paul Chauchat, Christian Shewmake, Bernhard Kainz, Claire Donnat, Susan P. Holmes, Xavier Pennec:
Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR abs/2004.04667 (2020) - [i3]Alice Le Brigant, Nicolas Guigui, Sana Rebbah, Stéphane Puechmorel:
Classifying histograms of medical data using information geometry of beta distributions. CoRR abs/2006.04511 (2020) - [i2]Nicolas Guigui, Xavier Pennec:
Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. CoRR abs/2007.07585 (2020)
2010 – 2019
- 2019
- [c2]Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec:
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. GSI 2019: 759-768 - [c1]Nicolas Guigui, Cathy Philippe, Arnaud Gloaguen, Slim Karkar, Vincent Guillemot, Tommy Löfstedt, Vincent Frouin:
Network Regularization in Imaging Genetics Improves Prediction Performances and Model Interpretability on Alzheimer's Disease. ISBI 2019: 1403-1406 - [i1]Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec:
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. CoRR abs/1906.05921 (2019)
Coauthor Index
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