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Esmaeil Shakeri

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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|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.
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.
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Showing results (1-10 of 4) 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|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.
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.
Pageof 1