Akshay Sanjay Chaudhari

This paper improves motion capture accuracy by enhancing sparse keypoints with a more generalizable marker enhancer trained on a larger dataset.

This study uses simultaneous brain-spinal cord fMRI to map neural activity related to hand strength and dexterity, revealing graded activation and inhibition patterns across motor and sensory regions.

This paper introduces an unsupervised learning approach using coordinate networks to address the missing wedge problem in cryoET, improving reconstruction quality and reducing runtime.

This paper uses self-supervised learning to improve accuracy and reduce data requirements for estimating ground reaction forces from IMU data.