Data Augmentation with Variational Autoencoders and Manifold Sampling

von Chadebec, Clement
Veröffentlicht in DGM4MICCAI (1. : 2021 : Online) Deep Generative Models, and Data Augmentation, Labelling, and Imperfections (2021)

A Geometric Perspective on Variational Autoencoders

von Chadebec, Clément
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 26 of 50 (2023)

Analysis of the Anatomical Variability of Fetal Brains with Corpus Callosum Agenesis

von Gaudfernau, Fleur
Veröffentlicht in UNSURE (3. : 2021 : Online) Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis (2021)

Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case

von Chadebec, Clément
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 28 of 50 (2023)

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application

von Besson, Rémi
Veröffentlicht in ICAART (12. : 2020 : Valletta) ICAART 2020 ; Volume 2 (2020)

An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories

von Chadebec, Clement
Veröffentlicht in DGM4MICCAI (2. : 2022 : Singapur; Online) Deep generative models (2022)