37 citations · 44 across the 5 of their papers we have counts for
4 papers · 1 filter
Patch-based field-of-view matching in multi-modal images for electroporation-based ablations
Luc Lafitte, Rémi Giraud, Cornel Zachiu +6
Various multi-modal imaging sensors are currently involved at different steps of an interventional therapeutic work-flow. Cone beam computed tomography (CBCT), computed tomography…
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Affine Registration
Baudouin Denis de Senneville, José V. Manjon, Pierrick Coupé
Affine registration of one or several brain image(s) onto a common reference space is a necessary prerequisite for many image processing tasks, such as brain segmentation or functi…
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Pierrick Coupé, Boris Mansencal, Michaël Clément +5
Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images.…
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Pierrick Coupé, Boris Mansencal, Michaël Clément +5
Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images.…