| Automated bone marrow cytology using deep learning to generate a histogram of cell types RM Tayebi, Y Mu, T Dehkharghanian, C Ross, M Sur, R Foley, ... Communications medicine 2 (1), 45, 2022 | 31* | 2022 |
| Classifying pneumonia among chest X-rays using transfer learning A Irfan, AL Adivishnu, A Sze-To, T Dehkharghanian, S Rahnamayan, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 27 | 2020 |
| 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 | 18 | 2023 |
| 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 | 11 | 2021 |
| Bias reduction in representation of histopathology images using deep feature selection A Asilian Bidgoli, S Rahnamayan, T Dehkharghanian, A Grami, ... Scientific reports 12 (1), 19994, 2022 | 9 | 2022 |
| 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 | 9 | 2022 |
| Pay attention with focus: A novel learning scheme for classification of whole slide images S Kalra, M Adnan, S Hemati, T Dehkharghanian, S Rahnamayan, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| 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 | 8 | 2022 |
| Semiautomated analysis of an optical ATP indicator in neurons T Dehkharghanian, A Hashemiaghdam, G Ashrafi Neurophotonics 9 (4), 041410-041410, 2022 | 5* | 2022 |
| Applied machine learning in hematopathology T Dehkharghanian, Y Mu, HR Tizhoosh, CJV Campbell International Journal of Laboratory Hematology 45, 87-94, 2023 | 4 | 2023 |
| Cell projection plots: a novel visualization of bone marrow aspirate cytology T Dehkharghanian, Y Mu, C Ross, M Sur, HR Tizhoosh, CJV Campbell Journal of Pathology Informatics 14, 100334, 2023 | 2 | 2023 |
| Whole slide image representation in bone marrow cytology Y Mu, HR Tizhoosh, T Dehkharghanian, CJV Campbell Computers in Biology and Medicine 166, 107530, 2023 | 1 | 2023 |
| Model-Agnostic Binary Patch Grouping for Bone Marrow WSI Representation Y Mu, HR Tizhoosh, T Dehkharghanian, S Alfasly, CJV Campbell The American Journal of Pathology, 2024 | | 2024 |
| The Spatial Patterns and Determinants of Cerebrospinal Fluid Circulation in the Human Brain A Nazeri, T Dehkharghanian, KE Lindsay, P LaMontagne, JS Shimony, ... bioRxiv, 2023 | | 2023 |
| 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 |
| Investigation of KimiaNet's and DenseNet's deep features in lung cancer subtypes T Dehkharghanian | | 2020 |
| Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset T Dehkharghanian, S Rahnamayan, HR Tizhoosh 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | | 2020 |
| Domain-General Vs. Domain-Specific Pre-Trained Models Binary Patch Grouping for Improved WSI Representation Y Mu, HR Tizhoosh, T Dehkharghanian, CJV Campbell Domain-Specific Pre-Trained Models Binary Patch Grouping for Improved WSI …, 0 | | |
H.R. TizhooshKIMIA Lab, Mayo ClinicVerified email at mayo.edu
