Nicolas Guigui

20 papers Journal 11Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Comparison of Different Parallel Transport Methods for the Study of Deformations in 3D Cardiac Data. J. Math. Imaging Vis. Paolo Piras, Nicolas Guigui, Valerio Varano
2023	J	`jnl`	Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats. Found. Trends Mach. Learn. Nicolas Guigui, Nina Miolane, Xavier Pennec
2022	J	`jnl`	Insights from an autism imaging biomarker challenge: Promises and threats to biomarker discovery. NeuroImage 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
2022	J	`jnl`	Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. Found. Comput. Math. Nicolas Guigui, Xavier Pennec
2021	—	`conf`	A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric. GSI Nicolas Guigui, Xavier Pennec
2021	—	`conf`	Cardiac Motion Modeling With Parallel Transport And Shape Splines. ISBI Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
2021	J	`jnl`	Cardiac Motion Modeling with Parallel Transport and Shape Splines. CoRR Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
2021	—	`—`	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). Nicolas Guigui
2021	J	`jnl`	ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results. CoRR 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
2021	—	`conf`	Investigation of the Impact of Normalization on the Study of Interactions Between Myocardial Shape and Deformation. FIMH Maxime Di Folco, Nicolas Guigui, Patrick Clarysse, Pamela Moceri, Nicolas Duchateau
2021	—	`conf`	Parallel Transport on Kendall Shape Spaces. GSI Nicolas Guigui, Elodie Maignant, Alain Trouvé, Xavier Pennec
2020	J	`jnl`	A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions. Entropy Emmanuel Chevallier, Nicolas Guigui
2020	J	`jnl`	Classifying histograms of medical data using information geometry of beta distributions. CoRR Alice Le Brigant, Nicolas Guigui, Sana Rebbah, Stéphane Puechmorel
2020	J	`jnl`	Geomstats: A Python Package for Riemannian Geometry in Machine Learning. CoRR 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
2020	—	`conf`	Introduction to Geometric Learning in Python with Geomstats. SciPy 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
2020	J	`jnl`	Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. CoRR Nicolas Guigui, Xavier Pennec
2020	—	`conf`	Wrapped Statistical Models on Manifolds: Motivations, The Case SE(n), and Generalization to Symmetric Spaces. SPIGL Emmanuel Chevallier, Nicolas Guigui
2019	—	`conf`	Network Regularization in Imaging Genetics Improves Prediction Performances and Model Interpretability on Alzheimer's Disease. ISBI Nicolas Guigui, Cathy Philippe, Arnaud Gloaguen, Slim Karkar, Vincent Guillemot, Tommy Löfstedt, Vincent Frouin
2019	—	`conf`	Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. GSI Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec
2019	J	`jnl`	Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. CoRR Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec