| Fine-tuning and training of densenet for histopathology image representation using tcga diagnostic slides A Riasatian, M Babaie, D Maleki, S Kalra, M Valipour, S Hemati, M Zaveri, ... Medical image analysis 70, 102032, 2021 | 172 | 2021 |
| Searching images for consensus: can AI remove observer variability in pathology? HR Tizhoosh, P Diamandis, CJV Campbell, A Safarpoor, S Kalra, ... The American journal of pathology 191 (10), 1702-1708, 2021 | 48 | 2021 |
| Biased data, biased AI: deep networks predict the acquisition site of TCGA images T Dehkharghanian, AA Bidgoli, A Riasatian, P Mazaheri, CJV Campbell, ... Diagnostic pathology 18 (1), 67, 2023 | 42 | 2023 |
| Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology AA Bidgoli, S Rahnamayan, T Dehkharghanian, A Riasatian, S Kalra, ... Artificial Intelligence in Medicine 132, 102368, 2022 | 20 | 2022 |
| Searching for pneumothorax in x-ray images using autoencoded deep features A Sze-To, A Riasatian, HR Tizhoosh Scientific reports 11 (1), 9817, 2021 | 18 | 2021 |
| Selection, visualization, and interpretation of deep features in lung adenocarcinoma and squamous cell carcinoma T Dehkharghanian, S Rahnamayan, A Riasatian, AA Bidgoli, S Kalra, ... The American Journal of Pathology 191 (12), 2172-2183, 2021 | 17 | 2021 |
| Evolutionary computation in action: Hyperdimensional deep embedding spaces of gigapixel pathology images AA Bidgoli, S Rahnamayan, T Dehkharghanian, A Riasatian, ... IEEE Transactions on Evolutionary Computation 27 (1), 52-66, 2022 | 15 | 2022 |
| Multi-magnification image search in digital pathology M Rasoolijaberi, M Babaei, A Riasatian, S Hemati, P Ashrafi, R Gonzalez, ... IEEE Journal of Biomedical and Health Informatics 26 (9), 4611-4622, 2022 | 14 | 2022 |
| A comparative study of u-net topologies for background removal in histopathology images A Riasatian, M Rasoolijaberi, M Babaei, HR Tizhoosh 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 12 | 2020 |
| Kimianet: Training a deep network for histopathology using high-cellularity A Riasatian University of Waterloo, 2020 | 9 | 2020 |
| Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images AA Bidgoli, S Rahnamayan, T Dehkharghanian, A Riasatian, ... arXiv preprint arXiv:2303.00943, 2023 | | 2023 |
| Evolutionary Computation in Action: Feature Selection for Deep Embedding Spaces of Gigapixel Pathology Images A Asilian Bidgoli, S Rahnamayan, T Dehkharghanian, A Riasatian, ... arXiv e-prints, arXiv: 2303.00943, 2023 | | 2023 |
| Gram Barcodes for Histopathology Tissue Texture Retrieval S Lifshitz, A Riasatian, HR Tizhoosh arXiv preprint arXiv:2111.15519, 2021 | | 2021 |
| Detecting Specimen Contamination in Whole Slide Imaging Using Artificial Intelligence M Babaie, A Riasatian, S Hemati, M Sajadi, A Batten, S Sikdar, ... LABORATORY INVESTIGATION 100 (SUPPL 1), 1438-1438, 2020 | | 2020 |
| SPECIAL ISSUE ON EVOLUTIONARY COMPUTER VISION Y Bi, B Xue, P Mesejo, S Cagnoni, M Zhang, Y Peng, A Song, V Ciesielski, ... | | |
