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ORCIDSobhan Hemati
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2020 – today
- 2024
[i14]Isaiah Lahr, Saghir Alfasly, Peyman Nejat, Jibran A. Khan, Luke Kottom, Vaishnavi Kumbhar, Areej Alsaafin, Abubakr Shafique, Sobhan Hemati, Ghazal Alabtah, Nneka I. Comfere, Dennis Murphree, Aaron Mangold, Saba Yasir, Chady Meroueh
, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh:
Analysis and Validation of Image Search Engines in Histopathology. CoRR abs/2401.03271 (2024)- [i13]Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang:
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models. CoRR abs/2402.01862 (2024) - [i12]Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen:
DFML: Decentralized Federated Mutual Learning. CoRR abs/2402.01863 (2024) - [i11]Sobhan Hemati, Krishna R. Kalari, Hamid R. Tizhoosh:
A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology. CoRR abs/2409.04615 (2024) - [i10]Saghir Alfasly, Ghazal Alabtah, Sobhan Hemati, Krishna Rani Kalari, Hamid R. Tizhoosh:
Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models. CoRR abs/2409.04631 (2024) - 2023
- [j5]Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search. Comput. Biol. Medicine 162: 107026 (2023) - [c5]Sobhan Hemati, Guojun Zhang, Amir Hossein Estiri, Xi Chen:
Understanding Hessian Alignment for Domain Generalization. ICCV 2023: 18958-18968 - [i9]Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen:
Mathematical Challenges in Deep Learning. CoRR abs/2303.15464 (2023) - [i8]Sobhan Hemati, Guojun Zhang, Amir Hossein Estiri, Xi Chen:
Understanding Hessian Alignment for Domain Generalization. CoRR abs/2308.11778 (2023) - [i7]Saghir Alfasly, Peyman Nejat, Sobhan Hemati, Jibran A. Khan, Isaiah Lahr, Areej Alsaafin, Abubakr Shafique, Nneka I. Comfere, Dennis Murphree, Chady Meroueh, Saba Yasir, Aaron Mangold, Lisa Boardman, Vijay H. Shah, Joaquin J. Garcia, Hamid R. Tizhoosh:
When is a Foundation Model a Foundation Model. CoRR abs/2309.11510 (2023) - [i6]Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang:
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models. CoRR abs/2312.05387 (2023) - 2022
- [j4]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh:
A non-alternating graph hashing algorithm for large-scale image search. Comput. Vis. Image Underst. 219: 103415 (2022) - [j3]Sobhan Hemati, Hamid R. Tizhoosh:
Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing. Pattern Recognit. Lett. 153: 44-50 (2022) - [j2]Maral Rasoolijaberi, Morteza Babaie, Abtin Riasatian, Sobhan Hemati, Parsa Ashrafi, Ricardo Gonzalez, Hamid R. Tizhoosh:
Multi-Magnification Image Search in Digital Pathology. IEEE J. Biomed. Health Informatics 26(9): 4611-4622 (2022) - [i5]Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search. CoRR abs/2208.13653 (2022) - 2021
- [j1]Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri, Amir Safarpoor, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi, Milad Sikaroudi, Mohd Adnan, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh:
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021) - [c4]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Morteza Babaie, Shivam Kalra, Hamid R. Tizhoosh:
A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. ICIP 2021: 2748-2752 - [c3]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. MICCAI (8) 2021: 350-359 - [c2]Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh:
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL 2021: 301-311 - [i4]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. CoRR abs/2106.06623 (2021) - [i3]Sobhan Hemati, Hamid R. Tizhoosh:
Beyond Neighbourhood-Preserving Transformations for Quantization-Based Unsupervised Hashing. CoRR abs/2110.00216 (2021) - 2020
- [c1]Manit Zaveri, Sobhan Hemati, Sultaan Shah, Savvas Damaskinos, Hamid R. Tizhoosh:
Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. ICTAI 2020: 363-367 - [i2]Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shoja'eddin Chenouri, Hamid R. Tizhoosh:
A non-alternating graph hashing algorithm for large scale image search. CoRR abs/2012.13138 (2020)
2010 – 2019
- 2019
- [i1]Mohammad Hadi Mehdizavareh, Sobhan Hemati, Hamid Soltanian-Zadeh:
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs. CoRR abs/1907.08705 (2019)
Coauthor Index
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