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3. Yura Ahn, Sang Min Lee , Han Na Noh, Wooil Kim, Jooae Choe, Kyung-Hyun Do, Joon Beom Seo. Use of a Commercially Available Deep Learning Algorithm to Measure the Solid Portions of Lung Cancer Manifesting as Subsolid Lesions at CT: Comparisons with Radiologists and Invasive Component Size at Pathologic Examination. Radiology Vol. 299, No. 1.
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6. Doo‑Hwan Kim, EunseoGwon, Junheok Ock, Jong‑Woo Choi, Jee Ho Lee, Sung‑Hoon Kim, Namkug Kim. Developmental features and predicting airway failure risk in critically ill children with mandibular hypoplasia using 3D computational tomographic analysis. Scientific Reports 9881 (2021)
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7. Ji-Hoon Sim, Ji-Yeon Bang, Sung-Hoon Kim, Sa-Jin Kang, Jun-Gol Song. Association of Preoperative Prognostic Nutritional Index and Postoperative Acute Kidney Injury in Patients with Colorectal Cancer Surgery. Nutrients. 2021 May 11;13(5):1604.
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9. Hye-Mee Kwon , Woo-Young Seo, Jae-Man Kim, Woo-Hyun Shim, Sung-Hoon Kim, Gyu-Sam Hwang. Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Network. Sensors 2021, 21(15), 5130
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