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Journal Articles
- 2024
[j1]Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath
, Heidi M. Schambra, Carlos Fernandez-Granda:
Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine 7(1) (2024)
Conference and Workshop Papers
- 2022
- [c2]Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS 2022 - 2020
- [c1]Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. MLHC 2020: 143-171
Informal and Other Publications
- 2023
- [i4]Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda:
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR abs/2311.12781 (2023) - 2021
- [i3]Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR abs/2111.02521 (2021) - [i2]Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra:
PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. CoRR abs/2112.11330 (2021) - 2020
- [i1]Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda:
Towards data-driven stroke rehabilitation via wearable sensors and deep learning. CoRR abs/2004.08297 (2020)
Coauthor Index
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