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Aakash Kaku
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2020 – today
- 2024
- [j2]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) - 2023
- [i10]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 abs/2311.12781 (2023) - 2022
- [c4]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Haoxiang Huang, Laure Zanna, Narges Razavian, Jonathan Niles-Weed, Carlos Fernandez-Granda:
Deep Probability Estimation. ICML 2022: 13746-13781 - [c3]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 - 2021
- [j1]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:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine 4 (2021) - [c2]Aakash Kaku, Sahana Upadhya, Narges Razavian:
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning. NeurIPS 2021: 24063-24074 - [i9]Aakash Kaku, Sahana Upadhya, Narges Razavian:
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning. CoRR abs/2110.14805 (2021) - [i8]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 abs/2111.02521 (2021) - [i7]Sheng Liu, Aakash Kaku, Weicheng Zhu, Matan Leibovich, Sreyas Mohan, Boyang Yu, Laure Zanna, Narges Razavian, Carlos Fernandez-Granda:
Deep Probability Estimation. CoRR abs/2111.10734 (2021) - [i6]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 abs/2112.11330 (2021) - 2020
- [c1]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: 143-171 - [i5]Aakash Kaku, Sreyas Mohan, Avinash Parnandi, Heidi M. Schambra, Carlos Fernandez-Granda:
Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. CoRR abs/2002.04019 (2020) - [i4]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 abs/2004.08297 (2020) - [i3]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:
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR abs/2008.01774 (2020)
2010 – 2019
- 2019
- [i2]Aakash Kaku, Chaitra V. Hegde, Jeffrey Huang, Sohae Chung, Xiuyuan Wang, Matthew Young, Alireza Radmanesh, Yvonne W. Lui, Narges Razavian:
DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation. CoRR abs/1911.05567 (2019) - [i1]Alejandra Duarte, Chaitra V. Hegde, Aakash Kaku, Sreyas Mohan, José G. Raya:
Knee Cartilage Segmentation Using Diffusion-Weighted MRI. CoRR abs/1912.01838 (2019)
Coauthor Index
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