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Ismail Ben Ayed

Ismail Ben AyedIsmail Ben Ayed received a Ph.D. degree (with the highest honor) in the area of computer vision from the National Institute of Scientific Research (INRS-EMT), University of Quebec, Montreal, QC, Canada, in May 2007, under the guidance of Professor Amr Mitiche. Since then, he has been a research scientist with GE Healthcare, London, ON, Canada, conducting research in medical image analysis. He also holds an Adjunct Professor appointment at Western University, department of Medical Biophysics. He co-authored a book, over 50 peer-reviewed papers in reputable journals and conferences, and six patents. He received a GE recognition award in 2012 and a GE innovation award in 2010

Ismail Ben Ayed is an image segmentation and optimization expert who has authored over 60 peer-reviewed articles in the field and has co-authored the book Variational and Level Set Methods in Image Segmentation, 2011, which is receiving a high citation rate.
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1.
Less-Supervised Segmentation with CNNs
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AED457
Binding:
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Release:
16 Sep 2025
Language:
English
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2.
Variational and Level Set Methods in Image Segmentation
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AED610
Binding:
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Release:
05 Dec 2012
Language:
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Variational and Level Set Methods in Image Segmentation
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Variational and Level Set Methods in Image Segmentation
Publisher: Springer
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AED105
Binding:
Paperback
Release:
25 Oct 2010
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