Aakash Kaku

16 papers A* 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
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
Deep Probability Estimation.
ICML
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, 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
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
npj Digit. Medicine
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2021 J jnl
Deep Probability Estimation.
CoRR
Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda
2021 A* conf
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning.
NeurIPS
Aakash Kaku, Sahana Upadhya, Narges Razavian
2021 J jnl
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning.
CoRR
Aakash Kaku, Sahana Upadhya, Narges Razavian
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
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
CoRR
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
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
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation.
CoRR
Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian
2019 J jnl
Knee Cartilage Segmentation Using Diffusion-Weighted MRI.
CoRR
Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya