Hassan Nahas

Hassan Nahas is an associate scientist at the University of Waterloo's LITMUS group. His main research interests are in next-generation ultrasound flow imaging techniques and investigating the applicability of deep learning in medical ultrasound. Hassan has a B.S. in electrical engineering from New York University and a Ph.D. from the University of Waterloo, Canada. He is also broadly interested in biomedical engineering and signal processing, with past involvement in research projects on DNA microarrays and indoor localization.
Avatar photo

Posts by Hassan Nahas

Computer Vision / Video Analytics

Removing Aliasing Artifacts in Ultrasound Color Doppler Imaging with NVIDIA Clara Holoscan and the NVIDIA Clara Developer Kit

At RSNA 2021, there are dedicated tracks on ultrasound imaging, which is a cost-effective way to see what is going on inside a patient's body without exposure... 9 MIN READ