Natasha Pandit | DeepAI

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Featured Co-authors

Carlos Fernandez-Granda
24 publications
Kangning Liu
8 publications
Aakash Kaku
7 publications
Avinash Parnandi
5 publications
Heidi Schambra
5 publications
Kannan Venkataramanan
3 publications
Dawn Nilsen
3 publications
Anita Venkatesan
3 publications
Haresh Rengaraj Rajamohan
2 publications
Audre Wirtanen
2 publications
Haresh Rajamohan
1 publication

research

∙ 12/21/2021

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training

Stroke rehabilitation seeks to increase neuroplasticity through the repe...

18 Avinash Parnandi, et al. ∙

research

∙ 11/03/2021

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution

Automatic action identification from video and kinematic data is an impo...

0 Aakash Kaku, et al. ∙

research

∙ 04/14/2020

Towards data-driven stroke rehabilitation via wearable sensors and deep learning

Recovery after stroke is often incomplete, but rehabilitation training m...

3 Aakash Kaku, et al. ∙