Heidi M. Schambra

12 papers A* 1Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	The Potential and Limitations of Vision-Language Models for Human Motion Understanding: A Case Study in Data-Driven Stroke Rehabilitation. CoRR Victor Li, Naveenraj Kamalakannan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
2024	J	`jnl`	Quantifying impairment and disease severity using AI models trained on healthy subjects. npj Digit. Medicine Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
2023	J	`jnl`	Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects. CoRR Boyang Yu, Aakash Kaku, Kangning Liu, Avinash Parnandi, Emily Fokas, Anita Venkatesan, Natasha Pandit, Rajesh Ranganath, Heidi M. Schambra, Carlos Fernandez-Granda
2022	A*	`conf`	StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. NeurIPS Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2021	J	`jnl`	NE-Motion: Visual Analysis of Stroke Patients Using Motion Sensor Networks. Sensors Rodrigo Colnago Contreras, Avinash Parnandi, Bruno Gomes Coelho, Cláudio T. Silva, Heidi M. Schambra, Luis Gustavo Nonato
2021	J	`jnl`	PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. CoRR Avinash Parnandi, Aakash Kaku, Anita Venkatesan, Natasha Pandit, Audre Wirtanen, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Dawn Nilsen, Carlos Fernandez-Granda, Heidi M. Schambra
2021	J	`jnl`	Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. CoRR Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2020	J	`jnl`	Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda
2020	—	`conf`	Towards data-driven stroke rehabilitation via wearable sensors and deep learning. MLHC Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2020	J	`jnl`	Towards data-driven stroke rehabilitation via wearable sensors and deep learning. CoRR Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi M. Schambra, Carlos Fernandez-Granda
2019	J	`jnl`	Pragmatic classification of movement primitives for stroke rehabilitation. CoRR Avinash Parnandi, Jasim Uddin, Dawn Nilsen, Heidi M. Schambra
2017	—	`conf`	Capture, learning, and classification of upper extremity movement primitives in healthy controls and stroke patients. ICORR Jorge Guerra, Jasim Uddin, Dawn Nilsen, James Mclnerney, Ammarah Fadoo, Isirame B. Omofuma, Shatif Hughes, Sunil Agrawal, Peter Allen, Heidi M. Schambra