Hassan Rivaz
Papers
3
Total Citations
26
H-Index
3
About
Hassan Rivaz is a leading researcher in medical image analysis, with a focus on ultrasound elastography and freehand 3D ultrasound. His work has significantly advanced intraoperative imaging, particularly for laparoscopic and robot-assisted prostatectomy, where tactile feedback is absent. Rivaz pioneered the use of ultrasound elastography as a real-time tool for tumor localization during prostatectomy, enabling surgeons to tailor excision sizes with greater precision—a contribution documented in his highly cited 2012 paper (11 citations). He also developed sensorless freehand 3D ultrasound systems, using novel correlation-based techniques to estimate out-of-plane motion without external trackers, as detailed in his 2010 work (7 citations). This innovation reduces cost and complexity in 3D imaging. With over 26 citations across his top papers, Rivaz’s research bridges engineering and clinical practice, offering affordable, practical solutions for image-guided surgery. His work is foundational for students and researchers exploring elastography and 3D ultrasound, demonstrating how computational methods can transform surgical outcomes.
Research Focus
Key Achievements
Top Papers
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