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Korean Journal of Radiology|June 13, 2022
Clinical Implications of Focal Mineral Deposition in the Globus Pallidus on CT and Quantitative Susceptibility Mapping of MRIHyojin Kim, Jinhee Jang, Junghwa Kang, et al.Plos One|June 1, 2019
Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionalsYangsean Choi, Kook Jin Ahn, Yoonho Nam, et al.Plos One|November 4, 2024
Comparative analysis of whole exome sequencing kits for the canine genomeJinhee Jang, Yong-Jik Lee, Soohyun Ko, et al.AJNR. American Journal of Neuroradiology|May 8, 2024
Automated Detection of Steno-Occlusive Lesion on Time-of-Flight MR Angiography: An Observer Performance StudyHunjong Lim, Dongjun Choi, Leonard Sunwoo, et al.Head & Neck|June 17, 2020
Prognostic value of computed tomography-based volumetric body composition analysis in patients with head and neck cancer: Feasibility studyYangsean Choi, Kook-Jin Ahn, Jinhee Jang, et al.Journal of Imaging Informatics in Medicine|February 5, 2024
Development and Validation of Deep Learning-Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi-institutional Feasibility StudyYoonho Nam, Su-Youn Kim, Kyu-Ah Kim, et al.Journal of Magnetic Resonance Imaging : JMRI|March 19, 2019
Data-driven synthetic MRI FLAIR artifact correction via deep neural networkKanghyun Ryu, Yoonho Nam, Sung-Min Gho, et al.European Radiology|November 15, 2022
MR-self Noise2Noise: self-supervised deep learning-based image quality improvement of submillimeter resolution 3D MR imagesWoojin Jung, Hyun-Soo Lee, Minkook Seo, et al.Journal of Clinical Neurology (Seoul, Korea)|October 8, 2020
Paramagnetic Rims in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder: A Quantitative Susceptibility Mapping Study with 3-T MRIJinhee Jang, Yoonho Nam, Yangsean Choi, et al.European Journal of Radiology|May 18, 2020
IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentationYangsean Choi, Yoonho Nam, Youn Soo Lee, et al.Pageof 9