Publications

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. Proceedings of Machine Learning Research, MIDL 2024, accepted.

Performance of a Region of Interest–based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database—CAD-FIRST Study. Thibaut Couchoux, Tristan Jaouen, Christelle Melodelima-Gonindard, Pierre Baseilhac, Arthur Branchu, Nicolas Arfi, Richard Aziza, Nicolas Barry Delongchamps, Franck Bladou, Flavie Bratan, Serge Brunelle, Pierre Colin, Jean-Michel Correas, François Cornud, Jean-Luc Descotes, Pascal Eschwege, Gaelle Fiard, Bénédicte Guillaume, Rémi Grange, Nicolas Grenier, Hervé Lang, Frédéric Lefèvre, Bernard Malavaud, Clément Marcelin, Paul C. Moldovan, Nicolas Mottet, Pierre Mozer, Eric Potiron, Daniel Portalez, Philippe Puech, Raphaele Renard-Penna, Matthieu Roumiguié, Catherine Roy, Marc-Olivier Timsit, Thibault Tricard, Arnauld Villers, Jochen Walz, Sabine Debeer, Adeline Mansuy, Florence Mège-Lechevallier, Myriam Decaussin-Petrucci, Lionel Badet, Marc Colombel, Alain Ruffion,Sébastien Crouzet, Muriel Rabilloud, Rémi Souchon, Olivier Rouvière. Eur. Urol. Oncol. DOI:10.1016/j.euo.2024.03.003

Zone-specific computer-aided diagnosis system aimed at characterizing ISUP ≥ 2 prostate cancers on multiparametric magnetic resonance images: evaluation in a cohort of patients on active surveillance. T. Arber, T. Jaouen, S. Campoy, M. Rebilloud, R. Souchon, F. Abbas, P. Moldovan,M.Colombel,S. Crouzet, A. Ruffion, P. Neuville, O. Rouvière. World J Urol. 41: 3527-3533 (2023) DOI: 10.1007/s00345-023-04643-1

Dynamic Ultrasound Focusing and CentimeterScale Ex Vivo Tissue Ablations With a CMUT Probe Developed for Endocavitary HIFU Therapies. Ivan M. Suarez-Castellanos, Geoffroy de Sallmard, Guillaume Vanstaevel G, Alice Ganeau, Christopher Bawiec, Jean-Yves Chapelon, Nicolas Guillen, Nicolas Senegond, Apoutou W. N'Djin. IEEE Trans Ultrason Ferroelectr Freq Control. 70(11):1470-1481 (2023) DOI: 10.1109/TUFFC.2023.3301977

Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader. Tristan Jaouen, Remi Souchon, Paul C Moldovan, Flavie Bratan, Audrey Duran, Au Hoang-Dinh, Florian Di Franco, Sabine Debeer, Marine Dubreuil-Chambardel, Nicolas Arfi, Alain Ruffiong, Marc Colombel, Sebastien Crouzet, Christelle Gonindard-Melodelima, Olivier Rouviere*. Diagnostic and Interventional Imaging 104(10): 465-476 (2023) https://doi.org/10.1016/j.diii.2023.04.006

Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? − A systematic review. Olivier Rouvière, Tristan Jaouen, Pierre Baseilhac, Mohammed Lamine Benomar, Raphael Escande, Sebastien Crouzet, Rémi Souchon. Diagnostic and Interventional Imaging 104(5):221-234 (2023)  https://doi.org/10.1016/j.diii.2022.11.005

Learning to segment prostate cancer by aggressiveness from scribbles in bp-MRI. Audrey Duran, Gaspard Dussert, Carole Lartizien. Proceedings Volume 12032, Medical Imaging 2022: Image Processing: 120320Q (2022) https://doi.org/10.1117/12.2607502

Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it? Audrey Duran, Gaspard Dussert, Carole Lartizien. IEEE 19th International Symposium of Biomedical Imaging (2022) https://ieeexplore.ieee.org/document/9761616

Detection of ISUP≥2 Prostate Cancers Using Multiparametric MRI: Prospective Multicenter Assessment of the non-inferiority of an Artificial Intelligence System as compared to the PI-RADS Version 2.1 Score (CHANGE study) O. Rouvière, R. Souchon, C. Lartizien, A. Mansuy, L. Magaud, M. Colom, M. Dubreuil-Chambardel, S. Debeer, T. Jaouen, A. Duran, P. Rippert, B. Riche, C. Monini, V. Vlaeminck Guillem, J. Haesebaert, M. Rabilloud, S. Crouzet. British Medical Journal Open 12 (2022) e051274 http://dx.doi.org/10.1136/bmjopen-2021-051274

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 Analysis 77 (2022) 102347 https://doi.org/10.1016/j.media.2021.102347

Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone. Audrey Duran, Pierre-Marc Jodoin, Carole Lartizien. Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:193-204, 2020.  Download PDF

Computer-aided diagnosis system for characterizing ISUP grade ≥ 2 prostate cancers at multiparametric MRI: A cross-vendor evaluation. S. Transin, R. Souchon, C. Gonindard-Melodelima, R. de Rozario, P. Walker, M. Funes de la Vega, R. Loffroy, L. Cormier, O. Rouvière. Diagnostic and Interventional Imaging (2019) 100, 801-811  https://doi.org/10.1016/j.diii.2019.06.01