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Year | Number of Results |
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2021 | 2 |
2023 | 2 |
2024 | 1 |
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Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs.
Cureus. 2023 Aug 25;15(8):e44130. doi: 10.7759/cureus.44130. eCollection 2023 Aug.
Cureus. 2023.
PMID: 37753018
Free PMC article.
Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.
Bae J, Kapse S, Singh G, Gattu R, Ali S, Shah N, Marshall C, Pierce J, Phatak T, Gupta A, Green J, Madan N, Prasanna P.
Bae J, et al. Among authors: kapse s.
Diagnostics (Basel). 2021 Sep 30;11(10):1812. doi: 10.3390/diagnostics11101812.
Diagnostics (Basel). 2021.
PMID: 34679510
Free PMC article.
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Attention De-sparsification Matters: Inducing diversity in digital pathology representation learning.
Kapse S, Das S, Zhang J, Gupta RR, Saltz J, Samaras D, Prasanna P.
Kapse S, et al.
Med Image Anal. 2024 Apr;93:103070. doi: 10.1016/j.media.2023.103070. Epub 2023 Dec 28.
Med Image Anal. 2024.
PMID: 38176354
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Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study.
Bae J, Kapse S, Singh G, Gattu R, Ali S, Shah N, Marshall C, Pierce J, Phatak T, Gupta A, Green J, Madan N, Prasanna P.
Bae J, et al. Among authors: kapse s.
ArXiv [Preprint]. 2021 Jul 1:arXiv:2007.08028v2.
ArXiv. 2021.
PMID: 32699815
Free PMC article.
Updated.
Preprint.
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