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Aakash Kaku

Showing results (1-10 of 8) with videos related to

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Proceedings of Machine Learning Research|August 2, 2021
Towards data-driven stroke rehabilitation via wearable sensors and deep learningAakash Kaku, Avinash Parnandi, Anita Venkatesan, et al.
PLOS Digital Health|November 24, 2022
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation trainingAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
Arxiv|December 4, 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy SubjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
Bioengineering (Basel, Switzerland)|June 28, 2023
Data-Driven Quantitation of Movement Abnormality after StrokeAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
NPJ Digital Medicine|July 5, 2024
Quantifying impairment and disease severity using AI models trained on healthy subjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
Advances in Neural Information Processing Systems|September 28, 2023
StrokeRehab: A Benchmark Dataset for Sub-second Action IdentificationAakash Kaku, Kangning Liu, Avinash Parnandi, et al.
NPJ Digital Medicine|May 13, 2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentFarah E Shamout, Yiqiu Shen, Nan Wu, et al.
Arxiv|August 15, 2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentFarah E Shamout, Yiqiu Shen, Nan Wu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Proceedings of Machine Learning Research|August 2, 2021
Towards data-driven stroke rehabilitation via wearable sensors and deep learningAakash Kaku, Avinash Parnandi, Anita Venkatesan, et al.
PLOS Digital Health|November 24, 2022
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation trainingAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
Arxiv|December 4, 2023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy SubjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
Bioengineering (Basel, Switzerland)|June 28, 2023
Data-Driven Quantitation of Movement Abnormality after StrokeAvinash Parnandi, Aakash Kaku, Anita Venkatesan, et al.
NPJ Digital Medicine|July 5, 2024
Quantifying impairment and disease severity using AI models trained on healthy subjectsBoyang Yu, Aakash Kaku, Kangning Liu, et al.
Advances in Neural Information Processing Systems|September 28, 2023
StrokeRehab: A Benchmark Dataset for Sub-second Action IdentificationAakash Kaku, Kangning Liu, Avinash Parnandi, et al.
NPJ Digital Medicine|May 13, 2021
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentFarah E Shamout, Yiqiu Shen, Nan Wu, et al.
Arxiv|August 15, 2020
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentFarah E Shamout, Yiqiu Shen, Nan Wu, et al.
Pageof 1