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Sobhan Hemati

Showing results (1-10 of 9) with videos related to

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Frontiers in Human Neuroscience|January 9, 2019
Distinct Functional Network Connectivity for Abstract and Concrete Mental ImagerySobhan Hemati, Gholam-Ali Hossein-Zadeh
Plos One|January 15, 2020
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIsMohammad Hadi Mehdizavareh, Sobhan Hemati, Hamid Soltanian-Zadeh
Computers in Biology and Medicine|June 2, 2023
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image searchSobhan Hemati, Shivam Kalra, Morteza Babaie, et al.
Journal of Pathology Informatics|January 6, 2023
A self-supervised contrastive learning approach for whole slide image representation in digital pathologyParsa Ashrafi Fashi, Sobhan Hemati, Morteza Babaie, et al.
IEEE Journal of Biomedical and Health Informatics|June 10, 2022
Multi-Magnification Image Search in Digital PathologyMaral Rasoolijaberi, Morteza Babaei, Abtin Riasatian, et al.
Scientific Reports|February 1, 2025
Validation of histopathology foundation models through whole slide image retrievalSaghir Alfasly, Ghazal Alabtah, Sobhan Hemati, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Foundation Models for Histopathology-Fanfare or FlairSaghir Alfasly, Peyman Nejat, Sobhan Hemati, et al.
IEEE Reviews in Biomedical Engineering|July 12, 2024
Analysis and Validation of Image Search Engines in HistopathologyIsaiah Lahr, Saghir Alfasly, Peyman Nejat, et al.
Medical Image Analysis|March 27, 2021
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slidesAbtin Riasatian, Morteza Babaie, Danial Maleki, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Human Neuroscience|January 9, 2019
Distinct Functional Network Connectivity for Abstract and Concrete Mental ImagerySobhan Hemati, Gholam-Ali Hossein-Zadeh
Plos One|January 15, 2020
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIsMohammad Hadi Mehdizavareh, Sobhan Hemati, Hamid Soltanian-Zadeh
Computers in Biology and Medicine|June 2, 2023
Learning binary and sparse permutation-invariant representations for fast and memory efficient whole slide image searchSobhan Hemati, Shivam Kalra, Morteza Babaie, et al.
Journal of Pathology Informatics|January 6, 2023
A self-supervised contrastive learning approach for whole slide image representation in digital pathologyParsa Ashrafi Fashi, Sobhan Hemati, Morteza Babaie, et al.
IEEE Journal of Biomedical and Health Informatics|June 10, 2022
Multi-Magnification Image Search in Digital PathologyMaral Rasoolijaberi, Morteza Babaei, Abtin Riasatian, et al.
Scientific Reports|February 1, 2025
Validation of histopathology foundation models through whole slide image retrievalSaghir Alfasly, Ghazal Alabtah, Sobhan Hemati, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Foundation Models for Histopathology-Fanfare or FlairSaghir Alfasly, Peyman Nejat, Sobhan Hemati, et al.
IEEE Reviews in Biomedical Engineering|July 12, 2024
Analysis and Validation of Image Search Engines in HistopathologyIsaiah Lahr, Saghir Alfasly, Peyman Nejat, et al.
Medical Image Analysis|March 27, 2021
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slidesAbtin Riasatian, Morteza Babaie, Danial Maleki, et al.
Pageof 1