Chirag Agarwal
Chirag Agarwal
Harvard University; ML collective; TrustworthyML
Adresse e-mail validée de hms.harvard.edu - Page d'accueil
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Accurate segmentation of lung fields on chest radiographs using deep convolutional networks
MR Arbabshirani, AH Dallal, C Agarwal, A Patel, G Moore
SPIE Medical Imaging, 2017
302017
CoroNet: a deep network architecture for enhanced identification of COVID-19 from chest x-ray images
C Agarwal, S Khobahi, D Schonfeld, M Soltanalian
Medical Imaging 2021: Computer-Aided Diagnosis 11597, 1159722, 2021
22*2021
Explaining image classifiers by removing input features using generative models
C Agarwal, A Nguyen
Proceedings of the Asian Conference on Computer Vision, 2020
18*2020
Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images
AH Dallal, C Agarwal, MR Arbabshirani, A Patel, G Moore
SPIE Medical Imaging, 2017
112017
Sam: The sensitivity of attribution methods to hyperparameters
N Bansal, C Agarwal, A Nguyen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
92020
Convolutional neural network steganalysis's application to steganography
M Sharifzadeh, C Agarwal, M Aloraini, D Schonfeld
2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017
82017
Unsupervised quantification of abdominal fat from CT images using Greedy Snakes
C Agarwal, AH Dallal, MR Arbabshirani, A Patel, G Moore
SPIE Medical Imaging, 2017
72017
A new parallel message-distribution technique for cost-based steganography
M Sharifzadeh, C Agarwal, M Salarian, D Schonfeld
arXiv preprint arXiv:1705.08616, 2017
62017
Enhanced data hiding method using DWT based on Saliency model
C Agarwal, A Bose, S Maiti, N Islam, SK Sarkar
2013 IEEE International Conference on Signal Processing, Computing and …, 2013
62013
Deep-URL: A model-aware approach to blind deconvolution based on deep unfolded Richardson-Lucy network
C Agarwal, S Khobahi, A Bose, M Soltanalian, D Schonfeld
2020 IEEE International Conference on Image Processing (ICIP), 3299-3303, 2020
52020
Improving robustness to adversarial examples by encouraging discriminative features
C Agarwal, A Nguyen, D Schonfeld
2019 IEEE International Conference on Image Processing (ICIP), 3801-3505, 2019
52019
Statistical sequential analysis for object-based video forgery detection
M Aloraini, M Sharifzadeh, C Agarwal, D Schonfeld
Electronic Imaging 2019 (5), 543-1-543-7, 2019
42019
An Improved Method of Pre-Filter Based Image Watermarking in DWT Domain
NI S. Maiti, A. Bose, C. Agarwal, S. K. Sarkar
International Journal of Computer Science and Technology, 2013
42013
Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery
EDK Cha, Y Veturi, C Agarwal, A Patel, MR Arbabshirani, ...
Journal of obesity 2018, 2018
32018
Robust data hiding technique in wavelet domain using saliency map
S Maiti, C Agarwal, A Bose, SK Sarkar
International Journal of Advances in Engineering & Technology 6 (4), 1674, 2013
32013
Deep learning applied to polysomnography to predict blood pressure in obstructive sleep apnea and obesity hypoventilation: a proof-of-concept study
B Prasad, C Agarwal, E Schonfeld, D Schonfeld, B Mokhlesi
Journal of Clinical Sleep Medicine 16 (10), 1797-1803, 2020
22020
An explainable adversarial robustness metric for deep learning neural networks
C Agarwal, B Dong, D Schonfeld, A Hoogs
arXiv preprint arXiv:1806.01477, 2018
22018
Cross-Nets: A new approach to complex learning
C Agarwal, M Sharifzhadeh, J Klobusicky, D Schonfeld
arXiv preprint arXiv:1705.07404, 2017
22017
Estimating Example Difficulty using Variance of Gradients
C Agarwal, S Hooker
arXiv preprint arXiv:2008.11600, 2020
12020
Intriguing generalization and simplicity of adversarially trained neural networks
C Agarwal, P Chen, A Nguyen
arXiv preprint arXiv:2006.09373, 2020
12020
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