Publications

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: 120320(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. International Symposium of Medical Imaging (2022)  ACCEPTED PROCEEDING

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