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Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study.
Kim C, Kwack T, Kim W, Cha J, Yang Z, Yong HS. Kim C, et al. Among authors: cha j. PLoS One. 2022 Jun 23;17(6):e0270122. doi: 10.1371/journal.pone.0270122. eCollection 2022. PLoS One. 2022. PMID: 35737734 Free PMC article.
Semi-Quantitative Scoring of Late Gadolinium Enhancement of the Left Ventricle in Patients with Ischemic Cardiomyopathy: Improving Interobserver Reliability and Agreement Using Consensus Guidance from the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT) 2020.
Kim C, Park CH, Kim DY, Cha J, Lee BY, Park CH, Kang EJ, Koo HJ, Kitagawa K, Cha MJ, Krittayaphong R, Choi SI, Viswamitra S, Ko SM, Kim SM, Hwang SH, Trang NN, Lee W, Kim YJ, Lee J, Yang DH. Kim C, et al. Among authors: cha j. Korean J Radiol. 2022 Mar;23(3):298-307. doi: 10.3348/kjr.2021.0387. Korean J Radiol. 2022. PMID: 35213094 Free PMC article.
Machine Learning Models That Integrate Tumor Texture and Perfusion Characteristics Using Low-Dose Breast Computed Tomography Are Promising for Predicting Histological Biomarkers and Treatment Failure in Breast Cancer Patients.
Park HS, Lee KS, Seo BK, Kim ES, Cho KR, Woo OH, Song SE, Lee JY, Cha J. Park HS, et al. Among authors: cha j. Cancers (Basel). 2021 Nov 29;13(23):6013. doi: 10.3390/cancers13236013. Cancers (Basel). 2021. PMID: 34885124 Free PMC article.
49 results