Ahmed Z. Alsinan
ahmed.alsinan@rutgers.edu
About me
I am a Postdoctoral Research Fellow at Stanford University where I work on image processing, computer vision, and machine learning projects with a particular focus on the development of deep learning-based solutions to medical image synthesis, segmentation, classification, and reconstruction. I work with Dr. Geoffrey Sonn in his Urologic Cancer Innovation Laboratory (UCIL) and Dr. Mirabela Rusu in her Laboratory for Integrative Personalized Medicine (PIMed). I received my B.Sc. and M.Sc. degrees in Electrical Engineering from Michigan State University (East Lansing, MI) in 2010 and 2013, respectively. I earned my Ph.D. degree in Electrical and Computer Engineering from Rutgers University (New Brunswick, NJ) in 2020. My research interests include signal processing, computer vision, deep learning, and machine learning.
Selected Work
Spine Surface Segmentation from Ultrasound Using Multimodal CNN
A. Alsinan and I. Hacihaliloglu[Paper] [Code]
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Automatic Segmentation of Bone Surfaces from Ultrasound Using a Filter Layer Guided CNN
A. Alsinan, V. Patel, and I. Hacihaliloglu[Paper] [Code]
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Bone Shadow Segmentation from Ultrasound Data for Orthopedic Surgery Using GAN
A. Alsinan, M. Vives, V. Patel, and I. Hacihaliloglu[Paper] [Code]
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GAN-based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation
A. Alsinan, C. Rules, M. Vives, V. Patel, and I. Hacihaliloglu[Paper] [Code]
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ahmed alsinan © 2021