Soumya Goswami
Papers
3
Total Citations
31
H-Index
3
About
Soumya Goswami is a leading researcher at the intersection of medical robotics and biomedical imaging, with a core focus on robot-assisted ultrasound and tissue elastography. His work addresses a critical challenge in breast cancer screening: how to make ultrasound elastography—a technique that maps tissue stiffness to detect occult cancers—both quantitative and reliable. Goswami’s major contributions include pioneering hybrid force/velocity control systems that integrate strain elastography with robotic assistance, enabling more consistent and diagnostically valuable scans. His 2018 paper on this topic has garnered 21 citations, establishing a foundation for human-robot collaborative ultrasound. He further advanced the field by developing probabilistic mapping of tissue elasticity (2022, 6 citations) and applying the extended Kalman filter to enable quantitative compressional elastography (2021, 4 citations), overcoming a key limitation of traditional qualitative elastograms. Through these innovations, Goswami is bridging the gap between robotic precision and clinical diagnostic needs, making ultrasound screening more accurate and accessible. His work represents a significant step toward autonomous, intelligent medical imaging systems that can enhance early cancer detection.
Research Focus
Key Achievements
Top Papers
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