| 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 | 179 | 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 | 132 | 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 | 119 | 2021 |
| A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval A Khatami, M Babaie, HR Tizhoosh, A Khosravi, T Nguyen, S Nahavandi expert systems with applications 100, 224-233, 2018 | 109 | 2018 |
| 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 | 105 | 2020 |
| 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 | 66 | 2017 |
| Parallel deep solutions for image retrieval from imbalanced medical imaging archives A Khatami, M Babaie, A Khosravi, HR Tizhoosh, S Nahavandi Applied Soft Computing 63, 197-205, 2018 | 54 | 2018 |
| Heterogeneity-aware local binary patterns for retrieval of histopathology images H Erfankhah, M Yazdi, M Babaie, HR Tizhoosh IEEE Access 7, 18354-18367, 2019 | 49 | 2019 |
| Integrating sequence-dependent group scheduling problem and preventive maintenance in flexible flow shops A Khamseh, F Jolai, M Babaei The International Journal of Advanced Manufacturing Technology 77, 173-185, 2015 | 49 | 2015 |
| A deep-structural medical image classification for a radon-based image retrieval A Khatami, M Babaie, A Khosravi, HR Tizhoosh, SM Salaken, ... 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering …, 2017 | 35 | 2017 |
| 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 | 31 | 2021 |
| Designing quality control system based on vision inspection in pharmaceutical product lines M Bahaghighat, M Mirfattahi, L Akbari, M Babaie 2018 international conference on computing, mathematics and engineering …, 2018 | 30 | 2018 |
| Representing medical images with encoded local projections HR Tizhoosh, M Babaie IEEE Transactions on Biomedical Engineering 65 (10), 2267-2277, 2018 | 30 | 2018 |
| Deep barcodes for fast retrieval of histopathology scans MD Kumar, M Babaie, HR Tizhoosh 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 29 | 2018 |
| Deep features for tissue-fold detection in histopathology images M Babaie, HR Tizhoosh Digital Pathology: 15th European Congress, ECDP 2019, Warwick, UK, April 10 …, 2019 | 27 | 2019 |
| Retrieving similar x-ray images from big image data using radon barcodes with single projections M Babaie, HR Tizhoosh, S Zhu, ME Shiri Proceedings of the 6th International Conference on Pattern Recognition …, 2017 | 24 | 2017 |
| Local radon descriptors for image search M Babaie, HR Tizhoosh, A Khatami, ME Shiri 2017 Seventh International Conference on Image Processing Theory, Tools and …, 2017 | 23 | 2017 |
| Pareto simulated annealing and colonial competitive algorithm to solve an offline scheduling problem with rejection F Jolai, MS Sangari, M Babaie Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2010 | 20 | 2010 |
| A self-supervised contrastive learning approach for whole slide image representation in digital pathology PA Fashi, S Hemati, M Babaie, R Gonzalez, HR Tizhoosh Journal of Pathology Informatics 13, 100133, 2022 | 19 | 2022 |
| 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 | 18 | 2021 |
H.R. TizhooshKIMIA Lab, Mayo ClinicVerified email at mayo.edu
