Innovative Cardiac Imaging Techniques Professors in Global

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Daniel Ennis
Stanford University United States of America
cardiac flow imaging
biomedical imaging
cardiac diffusion tensor imaging
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Meng Cui
Purdue University United States of America
in vivo imaging
biomedical imaging
high-quality imaging
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Steven Beyea
Dalhousie University Canada
diagnostic imaging technologies
biomedical imaging
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Thomas Yankeelov
University of Texas at Austin United States of America
medical imaging
quantitative imaging technologies
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Parsin Haji Reza
University of Waterloo Canada
novel multi-modality optical imaging techniques
medical imaging
super-resolution imaging techniques
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Elsa Angelini
Imperial College London United Kingdom
medical imaging
biomedical imaging
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Martin Bech
Lund University Sweden
medical imaging
biomedical imaging
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Benoît Paquette
University of Sherbrooke Canada
medical imaging
biomedical imaging
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Sina Farsiu
Duke University Singapore
medical imaging
biomedical imaging
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Eva Hoseth
Aalborg University Denmark
medical imaging
ultrasound technology
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Tom Vercauteren
King's College London United Kingdom
medical imaging
interventional imaging
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Christopher Shen
Stanford University United States of America
interventional cardiology
medical innovation
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David Sosnovik
Harvard-MIT Health Sciences and Technology United States of America
cardiovascular magnetic resonance imaging
biomedical imaging
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Prasanna Sooriakumaran
University of Oxford United Kingdom
novel imaging for advanced prostate cancer
robotic surgery innovations
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Søren Frederiksen Hostrup
Aalborg University Denmark
medical imaging
diagnostic techniques
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Sven Haller
Uppsala University Sweden
medical imaging
diagnostic techniques
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Milen Blagoev
University of Zurich Switzerland
medical imaging
diagnostic techniques
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Columbia University United States of America
medical imaging
diagnostic imaging
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Behzad Zareian
Yale University United States of America
medical imaging
diagnostic imaging
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Ali Yikilmaz
McMaster University Canada
medical imaging
diagnostic imaging
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Ravinder Regatte
New York University United States of America
quantitative imaging techniques
biomedical imaging
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