V. K. Viekash
Papers
2
Total Citations
12
H-Index
2
About
V. K. Viekash is a researcher at the intersection of medical rehabilitation and artificial intelligence, with key contributions in deep learning for healthcare and computer vision. His work focuses on developing intelligent systems to improve patient outcomes, particularly in knee osteoarthritis rehabilitation and medical image segmentation. Viekash’s notable paper, “Deep Learning Based Muscle Intent Classification in Continuous Passive Motion Machine for Knee Osteoarthritis Rehabilitation” (2021, 5 citations), introduces a novel approach to physiotherapy by using neural networks to interpret muscle signals, enabling more responsive and personalized rehabilitation for patients over 45. This work addresses a critical need in post-surgery recovery and chronic joint management. More recently, his 2023 paper, “Paced-curriculum distillation with prediction and label uncertainty for image segmentation” (7 citations), advances medical imaging by combining curriculum learning with uncertainty estimation, improving model robustness in challenging segmentation tasks. With a growing citation impact, Viekash’s research bridges engineering and clinical practice, offering practical solutions for age-related mobility issues. His achievements highlight a commitment to translating AI innovations into tangible healthcare benefits, making him a promising voice in applied deep learning.
Research Focus
Key Achievements
Top Papers
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