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Cited by in F6Publishing
For: Owais M, Arsalan M, Mahmood T, Kim YH, Park KR. Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study. JMIR Med Inform 2020;8:e21790. [PMID: 33284119 DOI: 10.2196/21790] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Sultan H, Owais M, Choi J, Mahmood T, Haider A, Ullah N, Park KR. Artificial Intelligence-Based Solution in Personalized Computer-Aided Arthroscopy of Shoulder Prostheses. JPM 2022;12:109. [DOI: 10.3390/jpm12010109] [Reference Citation Analysis]
2 Oloko-oba M, Viriri S. A Systematic Review of Deep Learning Techniques for Tuberculosis Detection From Chest Radiograph. Front Med 2022;9:830515. [DOI: 10.3389/fmed.2022.830515] [Reference Citation Analysis]
3 Çallı E, Sogancioglu E, van Ginneken B, van Leeuwen KG, Murphy K. Deep learning for chest X-ray analysis: A survey. Med Image Anal 2021;72:102125. [PMID: 34171622 DOI: 10.1016/j.media.2021.102125] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
4 Owais M, Yoon HS, Mahmood T, Haider A, Sultan H, Park KR. Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database. Appl Soft Comput 2021;108:107490. [PMID: 33994894 DOI: 10.1016/j.asoc.2021.107490] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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