Background and Objective: Automatic segmentation of myocardial infarction is of great clinical interest for the quantitative evaluation of myocardial infarction (MI). Late …
Accurately and robustly segmenting myocardial infarction (MI) is crucial for clinical diagnosis of cardiac diseases, treatment and planning. In this study, we propose a novel deep …
Classic Random Regression Forests (RRFs) used for multi-organ localization describe the random process of multivariate regression by storing the histograms of offset vectors along …
Co-supervision of Prasad Samarakoon's PhD (2016): lighter, more robust regression forests to automatically locate organs in CT images, within the LPR project. My first turn toward …
Goal: In this paper, we address the development of an automatic approach for the computation of pose information (position + orientation) of prostate brachytherapy loose seeds from …
Three pioneering projects in computer vision and image processing for computer-assisted surgery: distributed laparoscopy, ultrasound-based bone tracking, and prostate …
Objectif L’évaluation de la dose en curiethérapie prostatique par grains d’iode 125 est actuellement estimée à 1 mois sans tenir compte des mouvements prostatiques, de …
In prostate brachytherapy, the analysis of the 3D pose information of each individual implanted seed is one of the critical issues for dose calculation and procedure quality …
The article presents the use of an improved random regression forest method to localize multiple organs in Computed Tomography (CT) images. The method was trained using 50 CT …