Nicolas Guigui

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Information Geometry

Statistical Model

Riemannian Manifolds

Top Venues

Publications

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) (2024)
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) (2023)
Nicolas Guigui, Xavier Pennec
Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. Found. Comput. Math. 22 (3) (2022)
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 (2022)
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)
Nicolas Guigui, Elodie Maignant, Alain Trouvé, Xavier Pennec
Parallel Transport on Kendall Shape Spaces. GSI (2021)
Nicolas Guigui, Xavier Pennec
A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric. GSI (2021)
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 (2021)
Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
Cardiac Motion Modeling With Parallel Transport And Shape Splines. ISBI (2021)
Nicolas Guigui, Pamela Moceri, Maxime Sermesant, Xavier Pennec
Cardiac Motion Modeling with Parallel Transport and Shape Splines. CoRR (2021)
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)
Emmanuel Chevallier, Nicolas Guigui
A Bi-Invariant Statistical Model Parametrized by Mean and Covariance on Rigid Motions. Entropy 22 (4) (2020)
Alice Le Brigant, Nicolas Guigui, Sana Rebbah, Stéphane Puechmorel
Classifying histograms of medical data using information geometry of beta distributions. CoRR (2020)
Nicolas Guigui, Xavier Pennec
Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds. CoRR (2020)
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 (2020)
Emmanuel Chevallier, Nicolas Guigui
Wrapped Statistical Models on Manifolds: Motivations, The Case SE(n), and Generalization to Symmetric Spaces. SPIGL (2020)
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)
Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. CoRR (2019)
Nicolas Guigui, Shuman Jia, Maxime Sermesant, Xavier Pennec
Symmetric Algorithmic Components for Shape Analysis with Diffeomorphisms. GSI (2019)