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Behrouz Far

Showing results (1-10 of 8) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Visual Representation of Tabular Electronic Health Records for Predicting Sudden Cardiac ArrestRubya Afrin, Emad A Mohammed, Behrouz Far
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Enhancing Choroidal Nevus Position Identification through CNN-Based Segmentation of Eye Fundus ImagesMohammadmahdi Eshragh, Emad A Mohammed, Behrouz Far, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine LearningEsmaeil Shakeri, Emad A Mohammed, Zahra Shakeri H A, et al.
Scientific Reports|July 21, 2025
AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysisMahmood Khalghollah, Azam Zare, Esmaeil Shakeri, et al.
Artificial Intelligence in Medicine|May 1, 2026
Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping reviewOmid Jafarinezhad, Qian Zhang, Ryan Rezai, et al.
Canadian Journal of Ophthalmology. Journal Canadien D'Ophtalmologie|March 20, 2025
Analyzing clinical variables indicative of uveal melanoma to determine how they affect decisions made by an artificial intelligence classifierEmily Laycock, Ezekiel Weis, Antoine Sylvestre-Bouchard, et al.
Canadian Journal of Ophthalmology. Journal Canadien D'Ophtalmologie|August 16, 2024
Artificial intelligence in the classification and segmentation of fundus images with choroidal neviR Trafford Crump, Emad Mohammed, Mehregan Biglarbeiki, et al.
Biosensors & Bioelectronics|February 3, 2022
Bi-ECDAQ: An electrochemical dual-immuno-biosensor accompanied by a customized bi-potentiostat for clinical detection of SARS-CoV-2 Nucleocapsid proteinsRazieh Salahandish, Fatemeh Haghayegh, Giancarlo Ayala-Charca, et al.
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Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Visual Representation of Tabular Electronic Health Records for Predicting Sudden Cardiac ArrestRubya Afrin, Emad A Mohammed, Behrouz Far
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Enhancing Choroidal Nevus Position Identification through CNN-Based Segmentation of Eye Fundus ImagesMohammadmahdi Eshragh, Emad A Mohammed, Behrouz Far, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Exploring Features Contributing to the Early Prediction of Sepsis Using Machine LearningEsmaeil Shakeri, Emad A Mohammed, Zahra Shakeri H A, et al.
Scientific Reports|July 21, 2025
AI-CMCA: a deep learning-based segmentation framework for capillary microfluidic chip analysisMahmood Khalghollah, Azam Zare, Esmaeil Shakeri, et al.
Artificial Intelligence in Medicine|May 1, 2026
Centralized pooling and federated learning for Canadian patient-level data sharing in multicenter medical AI: A scoping reviewOmid Jafarinezhad, Qian Zhang, Ryan Rezai, et al.
Canadian Journal of Ophthalmology. Journal Canadien D'Ophtalmologie|March 20, 2025
Analyzing clinical variables indicative of uveal melanoma to determine how they affect decisions made by an artificial intelligence classifierEmily Laycock, Ezekiel Weis, Antoine Sylvestre-Bouchard, et al.
Canadian Journal of Ophthalmology. Journal Canadien D'Ophtalmologie|August 16, 2024
Artificial intelligence in the classification and segmentation of fundus images with choroidal neviR Trafford Crump, Emad Mohammed, Mehregan Biglarbeiki, et al.
Biosensors & Bioelectronics|February 3, 2022
Bi-ECDAQ: An electrochemical dual-immuno-biosensor accompanied by a customized bi-potentiostat for clinical detection of SARS-CoV-2 Nucleocapsid proteinsRazieh Salahandish, Fatemeh Haghayegh, Giancarlo Ayala-Charca, et al.
Pageof 1