1. Eun D-I, Jang R, Ha WS, Lee H, Jung SC, Kim N. Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: Comparison of self-supervised and unsupervised approaches. Scientific Reports. 2020;10(1):1-17.
DOI: 10.1038/s41598-020-69932-w
2. Hong SB, Choi SH, Kim Kw, Kim SY, Kim JH, Kim S, et al. Meta‐analysis of MRI for the diagnosis of liver metastasis in patients with pancreatic adenocarcinoma. Journal of Magnetic Resonance Imaging. 2020;51(6):1737-44.
DOI: 10.1002/jmri.26969
3. Jang JK, Choi SH, Park SH, Kim KW, Kim HJ, Lee JS, et al. MR tumor regression grade for pathological complete response in rectal cancer post neoadjuvant chemoradiotherapy: a systematic review and meta-analysis for accuracy. European radiology. 2020;30(4):2312-23.
DOI: 10.1007/s00330-019-06565-2
4. Jang R, Kim N, Jang M, Lee KH, Lee SM, Lee KH, et al. Assessment of the Robustness of Convolutional Neural Networks in Labeling Noise by Using Chest X-Ray Images From Multiple Centers. JMIR medical informatics. 2020;8(8):e18089.
DOI: 10.2196/18089
5. Kang JH, Choi SH, Lee JS, Park SH, Kim KW, Kim SY, et al. Interreader agreement of liver imaging reporting and data system on MRI: A systematic review and meta‐analysis. Journal of Magnetic Resonance Imaging. 2020;52(3):795-804.
DOI: 10.1002/jmri.27065
6. Kim DH, Choi SH, Park SH, Kim KW, Byun JH, Kim SY, et al. The liver imaging reporting and data system tumor-in-vein category: a systematic review and meta-analysis. European Radiology. 2020:1-10.
DOI: 10.1007/s00330-020-07282-x
7. Kim DH, Choi SH, Park SH, Kim KW, Byun JH, Kim SY, et al. Liver imaging reporting and data system category M: A systematic review and meta‐analysis. Liver International. 2020;40(6):1477-87.
DOI: 10.1111/liv.14420
8. Kim DH, Lee JE, Kim YG, Lee Y, Seo DW, Lee KH, et al. High‐Throughput Algorithm for Discovering New Drug Indications by Utilizing Large‐Scale Electronic Medical Record Data. Clinical Pharmacology & Therapeutics. 2020;108(6):1299-307.
DOI: 10.1002/cpt.1980
9. Kim SY, Kim TW. Current challenges in the implementation of precision oncology for the management of metastatic colorectal cancer. ESMO open. 2020;5(2):e000634.
DOI: 10.1136/ esmoopen-2019-000634
10. Kim T, Lee K, Ham S, Park B, Lee S, Hong D, et al. Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT. Scientific reports. 2020;10(1):1-7.
DOI: 10.1038/s41598-019-57242-9
11. Ko H, Chung H, Kang WS, Kim KW, Shin Y, Kang SJ, et al. COVID-19 pneumonia diagnosis using a simple 2D deep learning framework with a single chest CT image: model development and validation. Journal of medical Internet research. 2020;22(6):e19569.
DOI: 10.2196/19569
12. Kwon J, Kim GB, Kang S, Byeon Y, Sa H-S, Kim N. Accuracy of 3D printed guide for orbital implant. Rapid Prototyping Journal. 2020;26(8):1363-1370
13. Ock J, Gwon E, Kim D-h, Kim S-h, Kim N. Patient-specific and hyper-realistic phantom for an intubation simulator with a replaceable difficult airway of a toddler using 3D printing. Scientific Reports. 2020;10(1):1-12.
DOI: 10.1038/s41598-020-67575-5
14. Oh CR, Hong JY, Kim JH, Lee JS, Kim HS, Kim TW, et al. Real-World Outcomes of Pazopanib Treatment in Korean Patients with Advanced Soft Tissue Sarcoma: A Multicenter Retrospective Cohort Study. Targeted Oncology. 2020;15(4):485-93.
DOI: 10.1007/s11523-020-00731-z
15. Park HJ, Kim KW, Pyo J, Suh CH, Yoon S, Hatabu H, et al. Incidence of pseudoprogression during immune checkpoint inhibitor therapy for solid tumors: a systematic review and meta-analysis. Radiology. 2020;297(1):87-96.
DOI: 10.1148/radiol.2020200443
16. Park HY, Kim KW, Yoon MA, Lee MH, Chae EJ, Lee JH, et al. Role of whole-body MRI for treatment response assessment in multiple myeloma: comparison between clinical response and imaging response. Cancer Imaging. 2020;20(1):1-11.
DOI: 10.1186/s40644-020-0293-6.
17. Park JH, Lee JS, Koo H, Kim JE, Ahn JH, Ryu MH, et al. How Cancer Patients Perceive Clinical Trials (CTs) in the Era of CTs: Current Perception and Its Differences Between Common and Rare Cancers. J Cancer Educ. 2020;35(3):545-56.
DOI: 10.1007/s13187-019-01494-6
18. Park YR, Koo H, Yoon Y-K, Park S, Lim Y-S, Baek S, et al. Expedited Safety Reporting Through an Alert System for Clinical Trial Management at an Academic Medical Center: Retrospective Design Study. JMIR Medical Informatics. 2020;8(2):e14379.
DOI: 10.2196/14379
19. Song EM, Park B, Ha C-A, Hwang SW, Park SH, Yang D-H, et al. Endoscopic diagnosis and treatment planning for colorectal polyps using a deep-learning model. Scientific reports. 2020;10(1):1-10.
DOI: 10.1038/s41598-019-56697-0
20. Suh CH, Lee KH, Choi YJ, Chung SR, Baek JH, Lee JH, et al. Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status. Scientific reports. 2020;10(1):1-10.
DOI: 10.1038/s41598-020-74479-x.