Computer-aided diagnosis for prostate cancer detection in the peripheral zone via multisequence MRI. - Emilie Niaf; Olivier Rouvière; Carole Lartizien (Computer-Aided Diagnosis, 2011)

A novel method for 3D prostate MR-histology registration using anatomical landmarks. - Cecilia Hughes; Olivier Rouvière; Florence Mege-Lechevallier; Rémi Souchon; Rémy Prost (EUSIPCO, 2012)

Robust Alignment of Prostate Histology Slices With Quantified Accuracy. - Cecilia Hughes; Olivier Rouvière; Florence Mege-Lechevallier; Rémi Souchon; Rémy Prost (IEEE Trans. Biomed. Eng., 2013)

Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. - Jérôme Lehaire; Rémi Flamary; Olivier Rouvière; Carole Lartizien (ICIP, 2014)

SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. - Emilie Niaf; Rémi Flamary; Alain Rakotomamonjy; Olivier Rouvière; Carole Lartizien (ICIP, 2014)

Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. - Emilie Niaf; Rémi Flamary; Olivier Rouvière; Carole Lartizien; Stéphane Canu (IEEE Trans. Image Process., 2014)

Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR Imaging Databases. - Rahaf Aljundi; Jérôme Lehaire; Fabrice Prost-Boucle; Olivier Rouvière; Carole Lartizien (MLMMI@ICML, 2015)

ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans. - Audrey Duran; Gaspard Dussert; Olivier Rouvière; Tristan Jaouen; Pierre-Marc Jodoin; Carole Lartizien (Medical Image Anal., 2022)

Weakly supervised deep learning model with size constraint for prostate cancer detection in multiparametric MRI and generalization to unseen domains. - Robin Trombetta; Olivier Rouvière; Carole Lartizien (MIDL, 2024)