Presenter Details

Hayit Greenspan
Hayit Greenspan
Tel Aviv University
Associate Professor of Biomedical Engineering in the Faculty of Engine

Hayit Greenspan is an Associate Professor of Biomedical Engineering in the Faculty of Engineering, Tel-Aviv University. Dr. Greenspan received the B.S. and M.S. degrees in Electrical Engineering (EE) from the Technion, and the Ph.D. degree in EE from CALTECH – California Institute of Technology. She was a Postdoc with the CS Division at U.C. Berkeley following which she joined Tel-Aviv University. From 2008 until 2011, she was a visiting Professor at Stanford University, Department of Radiology, Faculty of Medicine. She was also a visiting researcher at IBM Research in the Multi-modal Mining for Healthcare group, in Almaden CA. Dr. Greenspan has over 150 publications in leading international journals and conferences and has received several awards and patents. She is member of several journal and conference program committees, including SPIE medical imaging, IEEE_ISBI and MICCAI. She serves as an Associate Editor for the IEEE Trans on Medical Imaging (TMI) journal. In 2016 she was the Lead Co-editor for a Special issue on Deep Learning in Medical Imaging in IEEE TMI. In 2017 she Co-edited an Elsevier Academic Press book on Deep learning for Medical Image Analysis.

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Hall M
Thursday - October 18, 2018
05:00 PM
05:45 PM

Deep Learning in Medical Imaging: Solving the Data Augmentation Challenge for Enhanced-Value Radiology Reporting

In this talk, Hayit will give an overview of the Deep Learning computer-aided detection and diagnosis tools they are developing, which can support the detection, segmentation and the characterization tasks of the radiologist. Examples will be presented in Chest Xray pathology identification....

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AI in Healthcare