2 citations · 2 across the 4 of their papers we have counts for
5 papers
HyperNSDE: Personalized Neural SDEs for Joint Static-Longitudinal Clinical Data Generation
Perrine Chassat, Agathe Guilloux
Synthetic patient data generation is a promising solution to the dual challenge of data scarcity and privacy constraints in healthcare machine learning. Realistic synthesis of pati…
Shape Analysis of Euclidean Curves under Frenet-Serret Framework
Perrine Chassat, Juhyun Park, Nicolas Brunel
Geometric frameworks for analyzing curves are common in applications as they focus on invariant features and provide visually satisfying solutions to standard problems such as comp…
Toward Valid Generative Clinical Trial Data with Survival Endpoints
Perrine Chassat, Van Tuan Nguyen, Lucas Ducrot +2
Clinical trials face mounting challenges: fragmented patient populations, slow enrollment, and unsustainable costs, particularly for late phase trials in oncology and rare diseases…
How to Register a Live onto a Liver ? Partial Matching in the Space of Varifolds
Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon +4
Partial shapes correspondences is a problem that often occurs in computer vision (occlusion, evolution in time...). In medical imaging, data may come from different modalities and…
Curvature and Torsion estimation of 3D functional data: A geometric approach to build the mean shape under the Frenet Serret framework
Juhyun Park, Nicolas Brunel, Perrine Chassat
The analysis of curves has been routinely dealt with using tools from functional data analysis. However its extension to multi-dimensional curves poses a new challenge due to its i…