Evaluation of the Realism of an MRI Simulator for Stroke Lesion Prediction Using Convolutional Neural Network. - Noëlie Debs; Méghane Decroocq; Tae-Hee Cho; David Rousseau; Carole Frindel (SASHIMI@MICCAI, 2019)

Viewpoint Selection for Fibrous Structures in a Pre-operative Context: Application to Cranial Nerves Surrounding Skull Base Tumors. - Méghane Decroocq; Morgane Des Ligneris; Timothée Jacquesson; Carole Frindel (IWSSIP, 2021)

A Software to Visualize, Edit, Model and Mesh Vascular Networks. - Méghane Decroocq; Guillaume Lavoué; Makoto Ohta; Carole Frindel (EMBC, 2022)

Modeling and hexahedral meshing of arterial networks from centerlines. - Méghane Decroocq; Carole Frindel; Makoto Ohta; Guillaume Lavoué (CoRR, 2022)

Development of a centerline-based arterial network modeling and meshing framework for hemodynamic studies of cerebrovascular pathologies. (Développement d'une méthode de modélisation et maillage de réseaux artériels basée sur la ligne centrale pour les études hémodynamiques des pathologies cérébrovasculaires). - Méghane Decroocq (2023)

Modeling and hexahedral meshing of cerebral arterial networks from centerlines. - Méghane Decroocq; Carole Frindel; Pierre Rougé; Makoto Ohta; Guillaume Lavoué (Medical Image Anal., 2023)

Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation. - Méghane Decroocq; Binbin Xu 002; Katherine L. Thompson-Peer; Adrian Moore 003; Henrik Skibbe (MIDL, 2024)