| 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, 484-490, 2021 | 68* | 2021 |
| 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 | 43 | 2020 |
| Explaining image classifiers by removing input features using generative models C Agarwal, A Nguyen Proceedings of the Asian Conference on Computer Vision, 2020 | 39* | 2020 |
| 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 | 39 | 2017 |
| Towards a unified framework for fair and stable graph representation learning C Agarwal, H Lakkaraju, M Zitnik Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial …, 2021 | 34 | 2021 |
| 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 | 23 | 2017 |
| Estimating Example Difficulty using Variance of Gradients C Agarwal, D D'souza, S Hooker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 17 | 2020 |
| Towards the unification and robustness of perturbation and gradient based explanations S Agarwal, S Jabbari, C Agarwal, S Upadhyay, S Wu, H Lakkaraju International Conference on Machine Learning, 110-119, 2021 | 16 | 2021 |
| 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 | 14 | 2019 |
| Probing gnn explainers: A rigorous theoretical and empirical analysis of gnn explanation methods C Agarwal, M Zitnik, H Lakkaraju International Conference on Artificial Intelligence and Statistics, 8969-8996, 2022 | 10* | 2022 |
| 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 | 10 | 2017 |
| Exploring counterfactual explanations through the lens of adversarial examples: A theoretical and empirical analysis M Pawelczyk, C Agarwal, S Joshi, S Upadhyay, H Lakkaraju International Conference on Artificial Intelligence and Statistics, 4574-4594, 2022 | 9* | 2022 |
| 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 | 9 | 2019 |
| 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 | 9 | 2013 |
| The shape and simplicity biases of adversarially robust ImageNet-trained CNNs P Chen, C Agarwal, A Nguyen arXiv preprint arXiv:2006.09373, 2020 | 8* | 2020 |
| 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 | 8 | 2017 |
| 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 | 7 | 2020 |
| A new parallel message-distribution technique for cost-based steganography M Sharifzadeh, C Agarwal, M Salarian, D Schonfeld arXiv preprint arXiv:1705.08616, 2017 | 7 | 2017 |
| A tale of two long tails D D'souza, Z Nussbaum, C Agarwal, S Hooker arXiv preprint arXiv:2107.13098, 2021 | 5 | 2021 |
| 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 | 5 | 2018 |
Dan SchonfeldProfessor of Electrical and Computer Engineering, Computer Science, and Bioengineering, UniversityVerifisert e-postadresse på uic.edu
