关注
Aakash Kaku
Aakash Kaku
PhD. Student, New York University
在 nyu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
NPJ digital medicine 4 (1), 80, 2021
1172021
DARTS: DenseUnet-based automatic rapid tool for brain segmentation
A Kaku, CV Hegde, J Huang, S Chung, X Wang, M Young, A Radmanesh, ...
arXiv preprint arXiv:1911.05567, 2019
282019
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
A Kaku, A Parnandi, A Venkatesan, N Pandit, H Schambra, ...
Machine Learning for Healthcare Conference, 143-171, 2020
272020
Intermediate layers matter in momentum contrastive self supervised learning
A Kaku, S Upadhya, N Razavian
Advances in Neural Information Processing Systems 34, 24063-24074, 2021
212021
An Artificial Intelligence System for Predicting the Deterioration of COVID-19 Patients in the Emergency Department. npj Digit. Med. 4, 80
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
15*2021
Deep probability estimation
S Liu, A Kaku, W Zhu, M Leibovich, S Mohan, B Yu, H Huang, L Zanna, ...
arXiv preprint arXiv:2111.10734, 2021
132021
Be like water: Robustness to extraneous variables via adaptive feature normalization
A Kaku, S Mohan, A Parnandi, H Schambra, C Fernandez-Granda
arXiv preprint arXiv:2002.04019, 2020
122020
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training
A Parnandi, A Kaku, A Venkatesan, N Pandit, A Wirtanen, H Rajamohan, ...
PLOS digital health 1 (6), e0000044, 2022
82022
Sequence-to-sequence modeling for action identification at high temporal resolution
A Kaku, K Liu, A Parnandi, HR Rajamohan, K Venkataramanan, ...
arXiv preprint arXiv:2111.02521, 2021
52021
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification
A Kaku, K Liu, A Parnandi, HR Rajamohan, K Venkataramanan, ...
Advances in Neural Information Processing Systems 35, 1671-1684, 2022
42022
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department (preprint)
FE Shamout, Y Shen, N Wu, A Kaku, J Park, T Makino, S Jastrzębski, ...
32020
Data-Driven Quantitation of Movement Abnormality after Stroke
A Parnandi, A Kaku, A Venkatesan, N Pandit, E Fokas, B Yu, G Kim, ...
Bioengineering 10 (6), 648, 2023
22023
Quantifying Impairment and Disease Severity Using AI Models Trained on Healthy Subjects
B Yu, A Kaku, K Liu, A Parnandi, E Fokas, A Venkatesan, N Pandit, ...
arXiv preprint arXiv:2311.12781, 2023
2023
PrimSeq: A deep learning-based pipeline to quantitate rehabilitation training. PLOS Digit Health 1 (6): e0000044
A Parnandi, A Kaku, A Venkatesan, N Pandit, A Wirtanen, H Rajamohan
2022
Knee Cartilage Segmentation Using Diffusion-Weighted MRI
A Duarte, CV Hegde, A Kaku, S Mohan, JG Raya
arXiv preprint arXiv:1912.01838, 2019
2019
Scheduling Cross Entropy and Dice Loss for Optimal Training of Segmentation Models
CV Hegde, AR Kaku, S Chung, X Wang, YW Lui, N Razavian
Towards quantitative rehabilitation of stroke patients via deep learning
A Kaku
系统目前无法执行此操作,请稍后再试。
文章 1–17