DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation. - Aakash Kaku; Chaitra V. Hegde; Jeffrey Huang; Sohae Chung; Xiuyuan Wang 001; Matthew Young; Alireza Radmanesh; Yvonne W. Lui; Narges Razavian (CoRR, 2019)

Knee Cartilage Segmentation Using Diffusion-Weighted MRI. - Alejandra Duarte; Chaitra V. Hegde; Aakash Kaku; Sreyas Mohan; José G. Raya (CoRR, 2019)

Towards data-driven stroke rehabilitation via wearable sensors and deep learning. - Aakash Kaku; Avinash Parnandi 001; Anita Venkatesan; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (MLHC, 2020)

Be Like Water: Robustness to Extraneous Variables Via Adaptive Feature Normalization. - Aakash Kaku; Sreyas Mohan; Avinash Parnandi 001; Heidi M. Schambra; Carlos Fernandez-Granda (CoRR, 2020)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; Narges Razavian; et al. (CoRR, 2020)

Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning. - Aakash Kaku; Sahana Upadhya; Narges Razavian (NeurIPS, 2021)

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution. - Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Anita Venkatesan; Audre Wirtanen; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (CoRR, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Laure Zanna; Narges Razavian; Carlos Fernandez-Granda (CoRR, 2021)

PrimSeq: a deep learning-based pipeline to quantitate rehabilitation training. - Avinash Parnandi 001; Aakash Kaku; Anita Venkatesan; Natasha Pandit; Audre Wirtanen; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Dawn Nilsen; Carlos Fernandez-Granda; Heidi M. Schambra (CoRR, 2021)

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. - Farah E. Shamout; Yiqiu Shen; Nan Wu; Aakash Kaku; Jungkyu Park 001; Taro Makino; Stanislaw Jastrzebski; Jan Witowski; Duo Wang; Ben Zhang; Siddhant Dogra; Meng Cao; et al. (npj Digit. Medicine, 2021)

Deep Probability Estimation. - Sheng Liu; Aakash Kaku; Weicheng Zhu; Matan Leibovich; Sreyas Mohan; Boyang Yu 003; Haoxiang Huang; Laure Zanna; Narges Razavian; Jonathan Niles-Weed; Carlos Fernandez-Granda (ICML, 2022)

StrokeRehab: A Benchmark Dataset for Sub-second Action Identification. - Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Haresh Rengaraj Rajamohan; Kannan Venkataramanan; Anita Venkatesan; Audre Wirtanen; Natasha Pandit; Heidi M. Schambra; Carlos Fernandez-Granda (NeurIPS, 2022)

Quantifying impairment and disease severity using AI models trained on healthy subjects. - Boyang Yu 003; Aakash Kaku; Kangning Liu; Avinash Parnandi 001; Emily Fokas; Anita Venkatesan; Natasha Pandit; Rajesh Ranganath; Heidi M. Schambra; Carlos Fernandez-Granda (npj Digit. Medicine, 2024)