Praveer Singh

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Jayashree Kalpathy-CramerUniversity of ColoradoPatvirtintas el. paštas cuanschutz.edu
J Peter CampbellOregon Health & Science UniversityPatvirtintas el. paštas ohsu.edu
Michael F. ChiangDirector, National Eye Institute, National Institutes of HealthPatvirtintas el. paštas nih.gov
Ken ChangStanford UniversityPatvirtintas el. paštas stanford.edu
Nikos KomodakisAssistant Professor, Computer Science Department, University of CretePatvirtintas el. paštas csd.uoc.gr
R.V. Paul Chan, MD, MSc, MBAProfessor of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University ofPatvirtintas el. paštas uic.edu
Susan OstmoOregon Health & Science UniversityPatvirtintas el. paštas ohsu.edu
Aaron S CoynerComputational Biologist, Oregon Health & Science UniversityPatvirtintas el. paštas ohsu.edu
Nishanth ArunCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Katharina Hoebel, MD, PhDResearch Fellow, Department of Biomedical Informatics, Harvard Medical SchoolPatvirtintas el. paštas hms.harvard.edu
Matthew D. Li, MDUniversity of AlbertaPatvirtintas el. paštas ualberta.ca
Spyros GidarisResearch scientist at valeo.aiPatvirtintas el. paštas valeo.com
Deniz ErdogmusProfessor of ECE, Northeastern UniversityPatvirtintas el. paštas ece.neu.edu
Sharut GuptaMassachusetts Institute of TechnologyPatvirtintas el. paštas mit.edu
Mehak AggarwalIndian Institute of TechnologyPatvirtintas el. paštas iitd.ac.in
Emily ColeUniversity of MichiganPatvirtintas el. paštas uic.edu
James M. BrownAssociate Professor | University of LincolnPatvirtintas el. paštas lincoln.ac.uk
Nita ValikodathUniversity of MichiganPatvirtintas el. paštas med.umich.edu
Narendran VenkatapathyChief Medical Officer, Aravind Eye Hospital coimbatorePatvirtintas el. paštas cbe.aravind.org
Nathan GawAssistant Professor of Data Science, Air Force Institute of TechnologyPatvirtintas el. paštas afit.edu

Stebėti

Praveer Singh

Assistant Professor, University of Colorado School of Medicine

Patvirtintas el. paštas cuanschutz.edu - Pagrindinis puslapis

Deep Learning Medical Imaging Distributed Learning Oculomics Bias in AI


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Unsupervised Representation Learning by Predicting Image Rotations S Gidaris, P Singh, N Komodakis International Conference on Learning Representations, 2018	3791	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	229	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	199	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	188	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	132	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	121	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	110	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	84	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	79	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	56	2022
Unsupervised representation learning by predicting image rotations. arXiv 2018 S Gidaris, P Singh, N Komodakis arXiv preprint arXiv:1803.07728, 1803	54	1803
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	47	2020
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
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	43	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	41	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	36	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	31	2014
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	27	2022
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

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