Naveen Sankaran
Papers
4
Total Citations
80
H-Index
3
About
Naveen Sankaran is a leading researcher in the field of interventional surgical robotics, with a primary focus on enhancing the safety and precision of endovascular and biopsy procedures. His work addresses critical challenges in minimally invasive surgery, particularly the inadequate visual and force feedback that elevates procedural risks and occupational hazards from repeated X-ray exposure. Sankaran’s major contributions include the design and development of a teleoperated endovascular robotic system that augments surgeon actions, detailed in his highly cited 2018 paper (59 citations), and a force calibration method for proximal force measurement in such systems (2019, 16 citations). He has also pioneered the use of RNN-LSTM deep learning models for tissue classification during robotic breast biopsy, aiming to improve needle tip placement accuracy beyond conventional ultrasound guidance. His comprehensive 2020 work on systems and methods for interventional surgical robots synthesizes these innovations, addressing both endovascular and needle biopsy procedures. With a growing citation impact, Sankaran’s research is pivotal in advancing robotic assistance for safer, more effective image-guided interventions.
Research Focus
Key Achievements
Top Papers
- 1Design and Development of Surgeon Augmented Endovascular Robotic System59 citations · 2018
- 2
- 3RNN-LSTM based Tissue Classification in Robotic System for Breast Biopsy3 citations · 2020
- 4