| Federated learning and differential privacy for medical image analysis M Adnan, S Kalra, JC Cresswell, GW Taylor, HR Tizhoosh Scientific reports 12 (1), 1953, 2022 | 265 | 2022 |
| Convolutional neural networks for histopathology image classification: Training vs. using pre-trained networks B Kieffer, M Babaie, S Kalra, HR Tizhoosh 2017 seventh international conference on image processing theory, tools and …, 2017 | 190 | 2017 |
| A comparative study of CNN, BoVW and LBP for classification of histopathological images MD Kumar, M Babaie, S Zhu, S Kalra, HR Tizhoosh 2017 IEEE symposium series on computational intelligence (SSCI), 1-7, 2017 | 142 | 2017 |
| 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 |
| Yottixel–an image search engine for large archives of histopathology whole slide images S Kalra, HR Tizhoosh, C Choi, S Shah, P Diamandis, CJV Campbell, ... Medical Image Analysis 65, 101757, 2020 | 117 | 2020 |
| Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence S Kalra, HR Tizhoosh, S Shah, C Choi, S Damaskinos, A Safarpoor, ... NPJ digital medicine 3 (1), 31, 2020 | 115 | 2020 |
| Skin lesion segmentation: U-nets versus clustering BS Lin, K Michael, S Kalra, HR Tizhoosh 2017 IEEE symposium series on computational intelligence (SSCI), 1-7, 2017 | 115 | 2017 |
| Representation learning of histopathology images using graph neural networks M Adnan, S Kalra, HR Tizhoosh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 114 | 2020 |
| Comparing LBP, HOG and deep features for classification of histopathology images TJ Alhindi, S Kalra, KH Ng, A Afrin, HR Tizhoosh 2018 international joint conference on neural networks (IJCNN), 1-7, 2018 | 114 | 2018 |
| Classification and retrieval of digital pathology scans: A new dataset M Babaie, S Kalra, A Sriram, C Mitcheltree, S Zhu, A Khatami, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 67 | 2017 |
| Decentralized federated learning through proxy model sharing S Kalra, J Wen, JC Cresswell, M Volkovs, HR Tizhoosh Nature communications 14 (1), 2899, 2023 | 65 | 2023 |
| 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 |
| Automatic classification of pathology reports using TF-IDF Features S Kalra, L Li, HR Tizhoosh arXiv preprint arXiv:1903.07406, 2019 | 32 | 2019 |
| Learning permutation invariant representations using memory networks S Kalra, M Adnan, G Taylor, HR Tizhoosh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 24 | 2020 |
| Multiple disjoint dictionaries for representation of histopathology images S Zhu, Y Li, S Kalra, HR Tizhoosh Journal of Visual Communication and Image Representation 55, 243-252, 2018 | 21 | 2018 |
| CNN and deep sets for end-to-end whole slide image representation learning S Hemati, S Kalra, C Meaney, M Babaie, A Ghodsi, H Tizhoosh Medical Imaging with Deep Learning, 301-311, 2021 | 19 | 2021 |
| Fuzzy adaptive cruise control system with speed sign detection capability R Rizvi, S Kalra, C Gosalia, S Rahnamayan 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 968-976, 2014 | 17 | 2014 |
| 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 | 15 | 2022 |
| A digital pathology solution to resolve the tissue floater conundrum L Pantanowitz, P Michelow, S Hazelhurst, S Kalra, C Choi, S Shah, ... Archives of pathology & laboratory medicine 145 (3), 359-364, 2021 | 15 | 2021 |
| Proxyfl: decentralized federated learning through proxy model sharing S Kalra, J Wen, J Cresswell, M Volkovs, H Tizhoosh | 14 | 2021 |
H.R. TizhooshKIMIA Lab, Mayo ClinicVerified email at mayo.edu
