Harvard Catalyst Profiles

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Praveer Singh, Ph.D.


Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Campbell JP, Singh P, Redd TK, Brown JM, Shah PK, Subramanian P, Rajan R, Valikodath N, Cole E, Ostmo S, Chan RVP, Venkatapathy N, Chiang MF, Kalpathy-Cramer J. Applications of Artificial Intelligence for Retinopathy of Prematurity Screening. Pediatrics. 2021 03; 147(3). PMID: 33637645.
    Citations:    Fields:    Translation:Humans
  2. Chen JS, Coyner AS, Ostmo S, Sonmez K, Bajimaya S, Pradhan E, Valikodath N, Cole ED, Al-Khaled T, Chan RVP, Singh P, Kalpathy-Cramer J, Chiang MF, Campbell JP. Deep Learning for the Diagnosis of Stage in Retinopathy of Prematurity: Accuracy and Generalizability across Populations and Cameras. Ophthalmol Retina. 2021 Oct; 5(10):1027-1035. PMID: 33561545.
    Citations:    Fields:    
  3. Coyner AS, Chen J, Campbell JP, Ostmo S, Singh P, Kalpathy-Cramer J, Chiang MF. Diagnosability of Synthetic Retinal Fundus Images for Plus Disease Detection in Retinopathy of Prematurity. AMIA Annu Symp Proc. 2020; 2020:329-337. PMID: 33936405.
    Citations:    Fields:    Translation:Humans
  4. Hoebel KV, Patel JB, Beers AL, Chang K, Singh P, Brown JM, Pinho MC, Batchelor TT, Gerstner ER, Rosen BR, Kalpathy-Cramer J. Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma. Radiol Artif Intell. 2021 Jan; 3(1):e190199. PMID: 33842889.
    Citations: 4     
  5. Li MD, Arun NT, Aggarwal M, Gupta S, Singh P, Little BP, Mendoza DP, Corradi GCA, Takahashi MS, Ferraciolli SF, Succi MD, Lang M, Bizzo BC, Dayan I, Kitamura FC, Kalpathy-Cramer J. Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19. medRxiv. 2020 Sep 18. PMID: 32995811.
    Citations: 1     
  6. Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiol Artif Intell. 2020 Jul; 2(4):e200079. PMID: 33928256.
    Citations: 14     
  7. Chang K, Beers AL, Brink L, Patel JB, Singh P, Arun NT, Hoebel KV, Gaw N, Shah M, Pisano ED, Tilkin M, Coombs LP, Dreyer KJ, Allen B, Agarwal S, Kalpathy-Cramer J. Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density. J Am Coll Radiol. 2020 Dec; 17(12):1653-1662. PMID: 32592660.
    Citations: 2     Fields:    Translation:Humans
  8. Li MD, Arun NT, Gidwani M, Chang K, Deng F, Little BP, Mendoza DP, Lang M, Lee SI, O'Shea A, Parakh A, Singh P, Kalpathy-Cramer J. Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks. medRxiv. 2020 May 26. PMID: 32511570.
  9. Li MD, Chang K, Bearce B, Chang CY, Huang AJ, Campbell JP, Brown JM, Singh P, Hoebel KV, Erdogmus D, Ioannidis S, Palmer WE, Chiang MF, Kalpathy-Cramer J. Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. NPJ Digit Med. 2020; 3:48. PMID: 32258430.
    Citations: 5     
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Concepts (22)
Co-Authors (18)
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.