Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs. - Mohammad Hadi Mehdizavareh; Sobhan Hemati; Hamid Soltanian-Zadeh (CoRR, 2019)

Kimia-5MAG - A Dataset for Learning the Magnification in Histopathology Images. - Manit Zaveri; Sobhan Hemati; Sultaan Shah; Savvas Damaskinos; Hamid R. Tizhoosh (ICTAI, 2020)

A Simple Supervised Hashing Algorithm Using Projected Gradient and Oppositional Weights. - Sobhan Hemati; Mohammad Hadi Mehdizavareh; Morteza Babaie; Shivam Kalra; Hamid R. Tizhoosh (ICIP, 2021)

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. - Shivam Kalra; Mohammed Adnan; Sobhan Hemati; Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (MICCAI (8), 2021)

CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. - Sobhan Hemati; Shivam Kalra; Cameron Meaney; Morteza Babaie; Ali Ghodsi 001; Hamid R. Tizhoosh (MIDL, 2021)

Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. - Abtin Riasatian; Morteza Babaie; Danial Maleki; Shivam Kalra; Mojtaba Valipour; Sobhan Hemati; Manit Zaveri; Amir Safarpoor; Sobhan Shafiei; Mehdi Afshari; Maral Rasoolijaberi; Milad Sikaroudi; et al. (Medical Image Anal., 2021)

A non-alternating graph hashing algorithm for large-scale image search. - Sobhan Hemati; Mohammad Hadi Mehdizavareh; Shoja'eddin Chenouri; Hamid R. Tizhoosh (Comput. Vis. Image Underst., 2022)

Beyond neighbourhood-preserving transformations for quantization-based unsupervised hashing. - Sobhan Hemati; Hamid R. Tizhoosh (Pattern Recognit. Lett., 2022)

Multi-Magnification Image Search in Digital Pathology. - Maral Rasoolijaberi; Morteza Babaie; Abtin Riasatian; Sobhan Hemati; Parsa Ashrafi; Ricardo Gonzalez; Hamid R. Tizhoosh (IEEE J. Biomed. Health Informatics, 2022)

Understanding Hessian Alignment for Domain Generalization. - Sobhan Hemati; Guojun Zhang; Amir Hossein Estiri; Xi Chen (ICCV, 2023)

Mathematical Challenges in Deep Learning. - Vahid Partovi Nia; Guojun Zhang; Ivan Kobyzev; Michael R. Metel; Xinlin Li; Ke Sun 013; Sobhan Hemati; Masoud Asgharian; Linglong Kong; Wulong Liu; Boxing Chen (CoRR, 2023)

When is a Foundation Model a Foundation Model. - 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; et al. (CoRR, 2023)

Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models. - Sobhan Hemati; Mahdi Beitollahi; Amir Hossein Estiri; Bassel Al Omari; Xi Chen 009; Guojun Zhang (CoRR, 2023)

Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image search. - Sobhan Hemati; Shivam Kalra; Morteza Babaie; Hamid R. Tizhoosh (Comput. Biol. Medicine, 2023)

Analysis and Validation of Image Search Engines in Histopathology. - 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; et al. (CoRR, 2024)

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models. - Mahdi Beitollahi; Alex Bie; Sobhan Hemati; Leo Maxime Brunswic; Xu Li 001; Xi Chen 009; Guojun Zhang (CoRR, 2024)

A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology. - Sobhan Hemati; Krishna R. Kalari; Hamid R. Tizhoosh (CoRR, 2024)

Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models. - Saghir Alfasly; Ghazal Alabtah; Sobhan Hemati; Krishna Rani Kalari; Hamid R. Tizhoosh (CoRR, 2024)

Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization. - Sobhan Hemati; Mahdi Beitollahi; Amir Hossein Estiri; Bassel Al Omari; Soufiane Lamghari; Yasser H. Khalil; Xi Chen 009; Guojun Zhang (Trans. Mach. Learn. Res., 2024)

DFML: Decentralized Federated Mutual Learning. - Yasser H. Khalil; Amir Hossein Estiri; Mahdi Beitollahi; Nader Asadi; Sobhan Hemati; Xu Li 001; Guojun Zhang; Xi Chen 009 (Trans. Mach. Learn. Res., 2024)

Foundation Models Meet Federated Learning: A One-shot Feature-sharing Method with Privacy and Performance Guarantees. - Mahdi Beitollahi; Alex Bie; Sobhan Hemati; Leo Maxime Brunswic; Xu Li 001; Xi Chen 009; Guojun Zhang (Trans. Mach. Learn. Res., 2025)

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology. - Sobhan Hemati; Ghazal Alabtah; Saghir Alfasly; Hamid R. Tizhoosh (CoRR, 2025)