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Cited by in F6Publishing
For: Hasani N, Farhadi F, Morris MA, Nikpanah M, Rhamim A, Xu Y, Pariser A, Collins MT, Summers RM, Jones E, Siegel E, Saboury B. Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities. PET Clin 2022;17:13-29. [PMID: 34809862 DOI: 10.1016/j.cpet.2021.09.009] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Saboury B, Bradshaw T, Boellaard R, Buvat I, Dutta J, Hatt M, Jha AK, Li Q, Liu C, McMeekin H, Morris MA, Scott PJH, Siegel E, Sunderland JJ, Pandit-Taskar N, Wahl RL, Zuehlsdorff S, Rahmim A. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. J Nucl Med 2023;64:188-96. [PMID: 36522184 DOI: 10.2967/jnumed.121.263703] [Reference Citation Analysis]
2 Farhadi F, Barnes MR, Sugito HR, Sin JM, Henderson ER, Levy JJ. Applications of artificial intelligence in orthopaedic surgery. Front Med Technol 2022;4:995526. [PMID: 36590152 DOI: 10.3389/fmedt.2022.995526] [Reference Citation Analysis]
3 Yang J, Pelusi D. Sports Injury Risk Prevention and MRI Image Performance of Athletes in Physical Education. Scanning 2022;2022:1-7. [DOI: 10.1155/2022/1166314] [Reference Citation Analysis]
4 Fei R, Pelusi D. Sports Medical Image Modeling of Injury Prevention in Dance Learning and Sports Training. Scanning 2022;2022:1-7. [DOI: 10.1155/2022/7027007] [Reference Citation Analysis]
5 Manafi-Farid R, Askari E, Shiri I, Pirich C, Asadi M, Khateri M, Zaidi H, Beheshti M. [18F]FDG-PET/CT radiomics and artificial intelligence in lung cancer: Technical aspects and potential clinical applications. Semin Nucl Med 2022:S0001-2998(22)00035-6. [PMID: 35717201 DOI: 10.1053/j.semnuclmed.2022.04.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
6 Krauze AV, Zhuge Y, Zhao R, Tasci E, Camphausen K. AI-Driven Image Analysis in Central Nervous System Tumors-Traditional Machine Learning, Deep Learning and Hybrid Models. J Biotechnol Biomed 2022;5:1-19. [PMID: 35106480 DOI: 10.26502/jbb.2642-91280046] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]