Mirza Awais Ahmad
Papers
9
Total Citations
100
H-Index
6
About
Mirza Awais Ahmad is a leading researcher at the intersection of robotics, medical imaging, and fetal surgery. His work focuses on developing autonomous and semi-autonomous robotic systems for minimally invasive interventions, with a particular emphasis on fetoscopic procedures and ultrasound-guided biopsies. Ahmad’s key contributions include pioneering deep learning-based monocular placental pose estimation for collaborative robotics in fetoscopy, a critical advancement for treating Twin-to-Twin Transfusion Syndrome (TTTS). He has also developed real-time needle tip localization and tracking algorithms for 2D ultrasound-guided robotic biopsies, employing Gabor and Kalman filters to enhance accuracy in noisy imaging environments. His research has garnered over 100 citations, with his most cited paper on placental pose estimation accumulating 28 citations. Notably, Ahmad has designed a high-fidelity, low-cost synthetic training model for fetoscopic spina bifida repair, addressing a critical gap in surgical skill acquisition. He has also engineered a 5-DOF parallel robot for beating heart surgery and developed calibration techniques for integrating 2D ultrasound into 3D robotic systems. His work promises to enhance precision, safety, and accessibility in complex surgical procedures.
Research Focus
Key Achievements
Top Papers
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- 3Visual needle tip tracking in 2D US guided robotic interventions15 citations · 2018
- 4Calibration of 2D Ultrasound in 3D space for Robotic biopsies9 citations · 2015
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