37 citations · 44 across the 5 of their papers we have counts for
7 papers
Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images
Vincent Estrade, Michel Daudon, Emmanuel Richard +4
Objective: To assess automatic computer-aided in-situ recognition of morphological features of pure and mixed urinary stones using intraoperative digital endoscopic images acquired…
Deep correction of breathing-related artifacts in real-time MR-thermometry
Baudouin Denis de Senneville, Pierrick Coupé, Mario Ries +2
Real-time MR-imaging has been clinically adapted for monitoring thermal therapies since it can provide on-the-fly temperature maps simultaneously with anatomical information. Howev…
MRI-Guided High Intensity Focused Ultrasound of Liver and Kidney
Baudouin Denis de Senneville, Mario Ries, Wilbert Bartels +1
High Intensity Focused Ultrasound (HIFU) can be used to achieve a local temperature increase deep inside the human body in a non-invasive way. MRI guidance of the procedure allows…
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.…