Heidi M. Schambra

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 11

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Publications

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)
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 (2023)
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)
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 (2021)
Rodrigo Colnago Contreras, Avinash Parnandi, Bruno Gomes Coelho, Cláudio T. Silva, Heidi M. Schambra, Luis Gustavo Nonato
NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks. Sensors 21 (13) (2021)
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 (2021)
Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR (2020)
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 (2020)
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)
Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra
Pragmatic classification of movement primitives for stroke rehabilitation. CoRR (2019)
Jorge Guerra, Jasim Uddin, Dawn Nilsen, James Mclnerney, Ammarah Fadoo, Isirame B. Omofuma, Shatif Hughes, Sunil Agrawal, Peter Allen, Heidi M. Schambra
Capture, learning, and classification of upper extremity movement primitives in healthy controls and stroke patients. ICORR (2017)