| ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans A Duran, G Dussert, O Rouvière, T Jaouen, PM Jodoin, C Lartizien Medical Image Analysis 77, 102347, 2022 | 84 | 2022 |
| Prostate cancer semantic segmentation by gleason score group in bi-parametric MRI with self attention model on the peripheral zone A Duran, PM Jodoin, C Lartizien Medical Imaging with Deep Learning, 193-204, 2020 | 16 | 2020 |
| Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader T Jaouen, R Souchon, PC Moldovan, F Bratan, A Duran, A Hoang-Dinh, ... Diagnostic and Interventional Imaging 104 (10), 465-476, 2023 | 9 | 2023 |
| Learning to segment prostate cancer by aggressiveness from scribbles in bi-parametric MRI A Duran, G Dussert, C Lartizien Medical Imaging 2022: Image Processing 12032, 178-184, 2022 | 5 | 2022 |
| Detection of ISUP≥ 2 prostate cancers using multiparametric MRI: prospective multicentre assessment of the non-inferiority of an artificial intelligence system as compared to … O Rouvière, R Souchon, C Lartizien, A Mansuy, L Magaud, M Colom, ... BMJ open 12 (2), e051274, 2022 | 5 | 2022 |
| Perfusion imaging in deep prostate cancer detection from mp-MRI: can we take advantage of it? A Duran, G Dussert, C Lartizien 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 1 | 2022 |
| Intelligence artificielle pour la caractérisation du cancer de la prostate par agressivité en IRM multiparamétrique A Duran Université de Lyon, 2022 | | 2022 |
