A morphology focused diffusion probabilistic model for synthesis of histopathology images PA Moghadam, S Van Dalen, KC Martin, J Lennerz, S Yip, H Farahani, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 46 | 2023 |
Deep reinforcement learning for dynamic reliability aware NFV-based service provisioning HR Khezri, PA Moghadam, MK Farshbafan, V Shah-Mansouri, H Kebriaei, ... 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 42* | 2019 |
Sparse multi-modal graph transformer with shared-context processing for representation learning of giga-pixel images R Nakhli, PA Moghadam, H Mi, H Farahani, A Baras, B Gilks, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13* | 2023 |
Revealing true identity: Detecting makeup attacks in face-based biometric systems MA Arab, P Azadi Moghadam, M Hussein, W Abd-Almageed, M Hefeeda Proceedings of the 28th ACM International Conference on Multimedia, 3568-3576, 2020 | 8 | 2020 |
Artificial intelligence and pathomics: prostate cancer PA Moghadam, A Bashashati, SL Goldenberg Urologic Clinics, 2024 | 6 | 2024 |
Enabling hyperspectral imaging in diverse illumination conditions for indoor applications PA Moghadam, N Sharma, M Hefeeda Proceedings of the 12th ACM Multimedia Systems Conference, 23-35, 2021 | 2 | 2021 |
ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk … P Azadi, J Suderman, R Nakhli, K Rich, M Asadi, S Kung, H Oo, M Keyes, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |