Deep Learning Applications In Ultrasound Imaging Professors in Global

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Pengfei Song
Duke University Singapore
deep learning applications in ultrasound imaging
super-resolution ultrasound imaging
ultrafast 3d ultrasound imaging
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Pengfei Song
Duke University Singapore
deep learning applications in ultrasound imaging
super-resolution ultrasound imaging
ultrafast 3d ultrasound imaging
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Paul Prentice
University of Glasgow United Kingdom
ultrasound applications
ultrasonic processing
medical ultrasonics
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Raffaella Righetti
Texas A&M University United States of America
ultrasonic imaging
medical uses of ultrasound
ultrasound methods for imaging mechanical behavior of soft tissues
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Peter Noël
University of Pennsylvania United States of America
deep learning in imaging
ultra-high-resolution imaging
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Mark Palmeri
Duke University Singapore
deep learning for medical instrumentation
ultrasonic imaging
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Mark Palmeri
Duke University Singapore
deep learning for medical instrumentation design
ultrasonic imaging
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Chi Liu
Yale University United States of America
imaging applications
deep learning
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Mark Palmeri
Duke University Singapore
ultrasonic imaging
deep learning
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Claes Ladefoged
Technical University of Denmark Denmark
ultrasound imaging
deep learning
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Hassan Rivaz
Concordia University Canada
ultrasound imaging
deep learning
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Aya Elgebaly
Technical University of Denmark Denmark
ultrasound imaging
deep learning
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Ruud Van Sloun
Eindhoven University of Technology Belgium
ultrasound imaging
deep learning
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Pierre-marc Jodoin
University of Sherbrooke Canada
ultrasound imaging
deep learning
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Sandy Cochran
University of Glasgow United Kingdom
biomedical applications of ultrasound
ultrasound imaging techniques
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Olaf Von Ramm
Duke University Singapore
ultrasound imaging
diagnostic ultrasound imaging systems
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Stanford University United States of America
ultrasound imaging
ultrasound molecular imaging
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Hossein Naghavi
University of Washington United States of America
imaging applications
spectroscopy applications
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Hon Kwan
University of Windsor Canada
deep learning
deep neural network design
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Greg Zaharchuk
Stanford University United States of America
deep learning
artificial intelligence in medical imaging
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
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