SVA: shape variation analyzer. - Priscille de Dumast; Clément Mirabel; Beatriz Paniagua; Marilia Yatabe; Antonio C. Ruellas; Nina Tubau; Martin Styner; Lucia H. S. Cevidanes; Juan-Carlos Prieto 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

A web-based system for neural network based classification in temporomandibular joint osteoarthritis. - Priscille de Dumast; Clément Mirabel; Lucia H. S. Cevidanes; Antonio C. Ruellas; Marilia Yatabe; Marcos Ioshida; Nina Tubau Ribera; Loic Michoud; Liliane R. Gomes; Chao Huang 005; Hongtu Zhu; Luciana Muniz; et al. (Comput. Medical Imaging Graph., 2018)

Shape variation analyzer: a classifier for temporomandibular joint damaged by osteoarthritis. - Nina Tubau Ribera; Priscille de Dumast; Marilia Yatabe; Antonio C. Ruellas; Marcos Ioshida; Beatriz Paniagua; Martin Styner; João Roberto Gonçalves; Jonas Bianchi; Lucia H. S. Cevidanes; Juan-Carlos Prieto 001 (Computer-Aided Diagnosis, 2019)

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Thomas Yu; Jean-Philippe Thiran; Jean-Baptiste Ledoux; Davide Piccini; Patric Hagmann; Reto Meuli; Tobias Kober; et al. (MICCAI (2), 2020)

A comparison of automatic multi-tissue segmentation methods of the human fetal brain using the FeTA Dataset. - Kelly Payette; Priscille de Dumast; Hamza Kebiri; Ivan Ezhov; Johannes C. Paetzold; Suprosanna Shit; Asim Iqbal; Romesa Khan; Raimund Kottke; Patrice Grehten; Hui Ji; Levente Lanczi; et al. (CoRR, 2020)

Segmentation of the Cortical Plate in Fetal Brain MRI with a Topological Loss. - Priscille de Dumast; Hamza Kebiri; Chirine Atat; Vincent Dunet; Mériam Koob; Meritxell Bach Cuadra (UNSURE/PIPPI@MICCAI, 2021)

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Yasser Alemán-Gómez; Thomas Yu; Hamza Kebiri; Jean-Baptiste Ledoux; Patric Hagmann; Reto Meuli; Vincent Dunet; et al. (UNSURE/PIPPI@MICCAI, 2021)

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom. - Hélène Lajous; Christopher W. Roy; Tom Hilbert; Priscille de Dumast; Sébastien Tourbier; Yasser Alemán-Gómez; Jérôme Yerly; Thomas Yu; Hamza Kebiri; Kelly Payette; Jean-Baptiste Ledoux; Reto Meuli; et al. (CoRR, 2021)

4D iterative reconstruction of brain fMRI in the moving fetus. - Athena Taymourtash; Hamza Kebiri; Sébastien Tourbier; Ernst Schwartz; Karl-Heinz Nenning; Roxane Licandro; Daniel Sobotka; Hélène Lajous; Priscille de Dumast; Meritxell Bach Cuadra; Georg Langs (CoRR, 2021)

Synthetic Magnetic Resonance Images for Domain Adaptation: Application to Fetal Brain Tissue Segmentation. - Priscille de Dumast; Hamza Kebiri; Kelly Payette; András Jakab; Hélène Lajous; Meritxell Bach Cuadra (ISBI, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

Domain Generalization in Fetal Brain MRI Segmentation with Multi-Reconstruction Augmentation. - Priscille de Dumast; Meritxell Bach Cuadra (ISBI, 2023)

Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction. - Priscille de Dumast; Thomas Sanchez; Hélène Lajous; Meritxell Bach Cuadra (MICCAI (7), 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)