6 citations · 6 across the 2 of their papers we have counts for
3 papers
Guidelines for Cerebrovascular Segmentation: Managing Imperfect Annotations in the context of Semi-Supervised Learning
Pierre Rougé, Pierre-Henri Conze, Nicolas Passat +1
Segmentation in medical imaging is an essential and often preliminary task in the image processing chain, driving numerous efforts towards the design of robust segmentation algorit…
Cascaded multitask U-Net using topological loss for vessel segmentation and centerline extraction
Pierre Rougé, Nicolas Passat, Odyssée Merveille
Vessel segmentation and centerline extraction are two crucial preliminary tasks for many computer-aided diagnosis tools dealing with vascular diseases. Recently, deep-learning base…
Modeling and hexahedral meshing of cerebral arterial networks from centerlines
Méghane Decroocq, Carole Frindel, Pierre Rougé +2
Computational fluid dynamics (CFD) simulation provides valuable information on blood flow from the vascular geometry. However, it requires extracting precise models of arteries fro…