| 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 | 132 | 2021 |
| 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 | 23 | 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 |
| Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs MH Mehdizavareh, S Hemati, H Soltanian-Zadeh PLoS One 15 (1), e0226048, 2020 | 12 | 2020 |
| 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 | 10 | 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 | 10 | 2021 |
| When is a foundation model a foundation model S Alfasly, P Nejat, S Hemati, J Khan, I Lahr, A Alsaafin, A Shafique, ... arXiv preprint arXiv:2309.11510, 2023 | 8 | 2023 |
| Understanding hessian alignment for domain generalization S Hemati, G Zhang, A Estiri, X Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search S Hemati, S Kalra, M Babaie, HR Tizhoosh Computers in Biology and Medicine 162, 107026, 2023 | 5 | 2023 |
| A non-alternating graph hashing algorithm for large-scale image search S Hemati, MH Mehdizavareh, S Chenouri, HR Tizhoosh Computer Vision and Image Understanding 219, 103415, 2022 | 5 | 2022 |
| Distinct functional network connectivity for abstract and concrete mental imagery S Hemati, GA Hossein-Zadeh Frontiers in Human Neuroscience 12, 515, 2018 | 5 | 2018 |
| ELLIPSE PERIMETER ESTIMATION USING NON-PARAMETRIC REGRESSION OF RBF NEURAL NETWORK BASED ON ELLIPTIC INTEGRAL OF THE SECOND TYPE S Hemati, P Beiranvand, M Sharafi Investigación Operacional 39 (4), 639-647, 2018 | 4* | 2018 |
| Foundation models for histopathology—fanfare or flair S Alfasly, P Nejat, S Hemati, J Khan, I Lahr, A Alsaafin, A Shafique, ... Mayo Clinic Proceedings: Digital Health 2 (1), 165-174, 2024 | 3 | 2024 |
| Kimia-5mag–a Dataset for Learning the Magnification in Histopathology Images M Zaveri, S Hemati, S Shah, S Damskinos, HR Tizhoosh 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 3 | 2020 |
| Analysis and Validation of Image Search Engines in Histopathology I Lahr, S Alfasly, P Nejat, J Khan, L Kottom, V Kumbhar, A Alsaafin, ... arXiv preprint arXiv:2401.03271, 2024 | 2 | 2024 |
| Parametric Feature Transfer: One-shot Federated Learning with Foundation Models M Beitollahi, A Bie, S Hemati, LM Brunswic, X Li, X Chen, G Zhang arXiv preprint arXiv:2402.01862, 2024 | 1 | 2024 |
| Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models S Hemati, M Beitollahi, AH Estiri, BA Omari, X Chen, G Zhang arXiv preprint arXiv:2312.05387, 2023 | 1 | 2023 |
| Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing S Hemati, HR Tizhoosh Pattern Recognition Letters 153, 44-50, 2022 | 1 | 2022 |
| DFML: Decentralized Federated Mutual Learning YH Khalil, AH Estiri, M Beitollahi, N Asadi, S Hemati, X Li, G Zhang, ... arXiv preprint arXiv:2402.01863, 2024 | | 2024 |
| Mathematical Challenges in Deep Learning VP Nia, G Zhang, I Kobyzev, MR Metel, X Li, K Sun, S Hemati, ... arXiv preprint arXiv:2303.15464, 2023 | | 2023 |
H.R. TizhooshKIMIA Lab, Mayo Clinic在 mayo.edu 的电子邮件经过验证
