Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Unsupervised Pre-trained Models from Healthy ADLs Improve Parkinson's Disease Classification of Gait PatternsAnirudh Som, Narayanan Krishnamurthi, Matthew Buman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Attractor-shape descriptors for balance impairment assessment in Parkinson's diseaseAnirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Topological Descriptors for Parkinson's Disease Classification and Regression AnalysisAfra Nawar, Farhan Rahman, Narayanan Krishnamurthi, et al.
Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops|September 30, 2020
PI-Net: A Deep Learning Approach to Extract Topological Persistence ImagesAnirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, et al.
IEEE Internet of Things Journal|July 11, 2022
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor DataEun Som Jeon, Anirudh Som, Ankita Shukla, et al.
Pageof 1