| Unsupervised Representation Learning by Predicting Image Rotations S Gidaris, P Singh, N Komodakis International Conference on Learning Representations, 2018 | 3707 | 2018 |
| Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging N Arun, N Gaw, P Singh, K Chang, M Aggarwal, B Chen, K Hoebel, ... Radiology: Artificial Intelligence 3 (6), e200267, 2021 | 221 | 2021 |
| Federated learning for breast density classification: A real-world implementation HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ... Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 192 | 2020 |
| Cloud-GAN: Cloud removal for sentinel-2 imagery using a cyclic consistent generative adversarial networks P Singh, N Komodakis International Geoscience and Remote Sensing Symposium, 2018 | 185 | 2018 |
| Automated assessment and tracking of COVID-19 pulmonary disease severity on chest radiographs using convolutional siamese neural networks MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ... Radiology: Artificial Intelligence 2 (4), e200079, 2020 | 129 | 2020 |
| Deep tone mapping operator for high dynamic range images A Rana, P Singh, G Valenzise, F Dufaux, N Komodakis, A Smolic IEEE Transactions on Image Processing 29, 1285-1298, 2019 | 119 | 2019 |
| Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging MD Li, K Chang, B Bearce, CY Chang, AJ Huang, JP Campbell, ... NPJ digital medicine 3 (1), 48, 2020 | 108 | 2020 |
| Autonomous robotic system for tunnel structural inspection and assessment K Loupos, AD Doulamis, C Stentoumis, E Protopapadakis, K Makantasis, ... International Journal of Intelligent Robotics and Applications, 1-24, 2017 | 83 | 2017 |
| Applications of artificial intelligence for retinopathy of prematurity screening JP Campbell, P Singh, TK Redd, JM Brown, PK Shah, P Subramanian, ... Pediatrics 147 (3), 2021 | 77 | 2021 |
| SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging M Zhang, L Qu, P Singh, J Kalpathy-Cramer, DL Rubin IEEE Journal of Biomedical and Health Informatics 26 (9), 4635-4644, 2022 | 53 | 2022 |
| Unsupervised representation learning by predicting image rotations. arXiv 2018 S Gidaris, P Singh, N Komodakis arXiv preprint arXiv:1803.07728, 1803 | 52 | 1803 |
| Multi-institutional assessment and crowdsourcing evaluation of deep learning for automated classification of breast density K Chang, AL Beers, L Brink, JB Patel, P Singh, NT Arun, KV Hoebel, ... Journal of the American College of Radiology 17 (12), 1653-1662, 2020 | 47 | 2020 |
| Radiomics repeatability pitfalls in a scan-rescan MRI study of glioblastoma KV Hoebel, JB Patel, AL Beers, K Chang, P Singh, JM Brown, MC Pinho, ... Radiology: Artificial Intelligence 3 (1), e190199, 2020 | 46 | 2020 |
| QU-BraTS: MICCAI BraTS 2020 challenge on quantifying uncertainty in brain tumor segmentation-analysis of ranking scores and benchmarking results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... The journal of machine learning for biomedical imaging 2022, 2022 | 40 | 2022 |
| Deep learning for the diagnosis of stage in retinopathy of prematurity: accuracy and generalizability across populations and cameras JS Chen, AS Coyner, S Ostmo, K Sonmez, S Bajimaya, E Pradhan, ... Ophthalmology Retina 5 (10), 1027-1035, 2021 | 40 | 2021 |
| Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks MD Li, NT Arun, M Gidwani, K Chang, F Deng, BP Little, DP Mendoza, ... MedRxiv, 2020.05. 20.20108159, 2020 | 38 | 2020 |
| Artificial intelligence for retinopathy of prematurity: validation of a vascular severity scale against international expert diagnosis JP Campbell, MF Chiang, JS Chen, DM Moshfeghi, E Nudleman, ... Ophthalmology 129 (7), e69-e76, 2022 | 34 | 2022 |
| A multilayer Markovian model for change detection in aerial image pairs with large time differences P Singh, Z Kato, J Zerubia 2014 22nd International Conference on Pattern Recognition, 924-929, 2014 | 30 | 2014 |
| External Validation of a Retinopathy of Prematurity Screening Model Using Artificial Intelligence in 3 Low-and Middle-Income Populations AS Coyner, MA Oh, PK Shah, P Singh, S Ostmo, NG Valikodath, E Cole, ... JAMA ophthalmology 140 (8), 791-798, 2022 | 26 | 2022 |
| Synthetic medical images for robust, privacy-preserving training of artificial intelligence: application to retinopathy of prematurity diagnosis AS Coyner, JS Chen, K Chang, P Singh, S Ostmo, RVP Chan, MF Chiang, ... Ophthalmology Science 2 (2), 100126, 2022 | 26 | 2022 |
Jayashree Kalpathy-CramerUniversity of Colorado在 cuanschutz.edu 的电子邮件经过验证
