26 citations · 55 across the 5 of their papers we have counts for
5 papers
Biopsym : a learning environment for transrectal ultrasound guided prostate biopsies
Janssoone Thomas, Grégoire Chevreau, Lucile Vadcard +2
This paper describes a learning environment for image-guided prostate biopsies in cancer diagnosis; it is based on an ultrasound probe simulator virtually exploring real datasets o…
Estimation of urinary stone composition by automated processing of CT images
Grégoire Chevreau, Jocelyne Troccaz, Pierre Conort +4
The objective of this article was developing an automated tool for routine clinical practice to estimate urinary stone composition from CT images based on the density of all consti…
Mapping of transrectal ultrasonographic prostate biopsies: quality control and learning curve assessment by image processing
Pierre Mozer, Michael Baumann, Gregoire Chevreau +9
Objective: Mapping of transrectal ultrasonographic (TRUS) prostate biopsies is of fundamental importance for either diagnostic purposes or the management and treatment of prostate…
BiopSym: a simulator for enhanced learning of ultrasound-guided prostate biopsy
Stefano Sclaverano, Grégoire Chevreau, Lucile Vadcard +2
This paper describes a simulator of ultrasound-guided prostate biopsies for cancer diagnosis. When performing biopsy series, the clinician has to move the ultrasound probe and to m…
Framework for 3D TransRectal Ultrasound
Pierre Mozer, Michael Baumann, G. Chevreau +3
Prostate biopsies are mainly performed under 2D TransRectal UltraSound (TRUS) control by sampling the prostate according to a predefined pattern. In case of first biopsies, this pa…