PI-RADS Inspired Architecture: A New Deep Learning Approach to Detect Clinically Significant Prostate Cancer on MRI

Kamilia Taguelmimt, Hong Phuong Dang, Gustavo Andrade-Miranda, Dimitris Visvikis, Bernard Malavaud, Julien Bert. PI-RADS Inspired Architecture: A New Deep Learning Approach to Detect Clinically Significant Prostate Cancer on MRI. In 22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025, Houston, TX, USA, April 14-17, 2025. pages 1-4, IEEE, 2025. [doi]

@inproceedings{TaguelmimtDAVMB25,
  title = {PI-RADS Inspired Architecture: A New Deep Learning Approach to Detect Clinically Significant Prostate Cancer on MRI},
  author = {Kamilia Taguelmimt and Hong Phuong Dang and Gustavo Andrade-Miranda and Dimitris Visvikis and Bernard Malavaud and Julien Bert},
  year = {2025},
  doi = {10.1109/ISBI60581.2025.10980749},
  url = {https://doi.org/10.1109/ISBI60581.2025.10980749},
  researchr = {https://researchr.org/publication/TaguelmimtDAVMB25},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025, Houston, TX, USA, April 14-17, 2025},
  publisher = {IEEE},
  isbn = {979-8-3315-2052-6},
}