| 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 | 140 | 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 | 38 | 2021 |
| BlockCNN: A Deep Network for Artifact Removal and Image Compression D Maleki, S Nadalian, M Mahdi Derakhshani, MA Sadeghi The IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2018 | 26 | 2018 |
| LILE: Look in-depth before looking elsewhere–a dual attention network using transformers for cross-modal information retrieval in histopathology archives D Maleki, HR Tizhoosh International Conference on Medical Imaging with Deep Learning, 879-894, 2022 | 13 | 2022 |
| Ink marker segmentation in histopathology images using deep learning D Maleki, M Afshari, M Babaie, HR Tizhoosh International Symposium on Visual Computing, 359-368, 2020 | 6 | 2020 |
| Quality Control of Whole Slide Images using the YOLO Concept K Hemmatirad, M Babaie, M Afshari, D Maleki, M Saiadi, HR Tizhoosh 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022 | 4 | 2022 |
| A self-supervised framework for cross-modal search in histopathology archives using scale harmonization D Maleki, S Rahnamayan, HR Tizhoosh Scientific Reports 14 (1), 1-17, 2024 | 1 | 2024 |
| Dual Attention Network Using Transformers for Cross-Modal Retrieval HR Tizhoosh, D Maleki US Patent App. 18/536,121, 2024 | | 2024 |
| Harmonizing the Scale: An End-to-End Self-Supervised Approach for Cross-Modal Data Retrieval in Histopathology Archives D Maleki University of Waterloo, 2023 | | 2023 |
H.R. TizhooshKIMIA Lab, Mayo ClinicE-mail confirmado em mayo.edu
