Papers

5

Total Citations

45

H-Index

3

About

Mohanasankar Sivaprakasam is a leading figure in medical robotics, image-guided surgery, and biomedical instrumentation. His work bridges engineering and clinical practice, with a focus on developing affordable, high-precision systems for diagnosis and intervention. He has pioneered the use of deep learning for medical image analysis, notably in the segmentation of femoral cartilage from knee ultrasound images using Mask R-CNN (36 citations), a critical step for osteoarthritis diagnosis and robotic knee arthroscopy. Sivaprakasam has also advanced cuffless arterial pressure monitoring using flexible force sensors, demonstrating a proof of principle for non-invasive hemodynamic assessment. His recent contributions include a hybrid-layered system for image-guided navigation and robot-assisted spine surgeries (2024), integrating cutting-edge technologies to enhance surgical accuracy. Additionally, he has developed an immersive virtual reality platform for robot-assisted antenatal ultrasound scanning, addressing maternal healthcare disparities in underserved regions. His work on automating slide staining for large tissue sections further underscores his commitment to scalable, accessible medical technologies. With a growing citation impact and a portfolio spanning robotics, imaging, and sensing, Sivaprakasam is shaping the future of intelligent, robot-assisted healthcare.

Research Focus

Key Achievements

3
H-Index
5
Papers
45
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Segmentation of Femoral Cartilage from Knee Ultrasound Images Using Mask R-CNN
36 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Healthcare Technology Innovation Centre, Indian Institute of Technology Madras

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago