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Hayit Greenspan

Hayit GreenspanHayit Greenspan, PhD is focused on developing deep learning tools for medical image analysis, as well as their translation to the clinic. She is a Professor of Biomedical Engineering with the Faculty of Engineering at Tel-Aviv Universit (on Leave), and currently with the Department of Radiology and the AI and Human Health Department at the Icahn School of Medicine at Mount Sinai, NYC. She is the Director of the AI Core at the Biomedical Engineering and Imaging (BMEII) Institute and the Co-director of a new AI and emerging technologies PhD program at Mount Sinai. Dr. Greenspan is also a co-founder of RADLogics Inc., a startup company bringing AI tools to clinician support Read More Read Less

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1.
Deep Learning for Medical Image Analysis49 %
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₹12,155
₹6,199
Binding:
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Release:
27 Nov 2023
Language:
English
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Deep Learning for Medical Image Analysis45 %
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₹11,688
₹6,428
Binding:
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Release:
31 Jan 2017
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 Workshops5 % NR
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Medical Content-Based Retrieval for Clinical Decision Support36 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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Medical Image Computing and Computer Assisted Intervention – MICCAI 202337 %
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19.
Multimodal Learning for Clinical Decision Support36 %
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₹6,022
₹3,854
Binding:
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Release:
20 Oct 2021
Language:
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20.
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures36 %
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