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The Journal of Reproductive Medicine|February 14, 2012
Lobular lesions of the breast: imaging findings of lobular neoplasia and invasive lobular carcinomaBo Bae Choi, Sung Hun Kim, Kwang Sun ShuEuropean Journal of Radiology|June 3, 2014
Background parenchymal enhancement in breast MRIs of breast cancer patients: impact on tumor size estimationJi Eun Baek, Sung Hun Kim, Ah Won LeeKorean Journal of Radiology|January 17, 2013
Comparison of the diagnostic performance of response evaluation criteria in solid tumor 1.0 with response evaluation criteria in solid tumor 1.1 on MRI in advanced breast cancer response evaluation to neoadjuvant chemotherapySu Kyung Jeh, Sung Hun Kim, Bong Joo KangWorld Journal of Surgical Oncology|November 8, 2017
Residual microcalcifications after neoadjuvant chemotherapy for locally advanced breast cancer: comparison of the accuracies of mammography and MRI in predicting pathological residual tumorYeong Yi An, Sung Hun Kim, Bong Joo KangJournal of Microbiology (Seoul, Korea)|October 27, 2018
Characterization of a Salmonella Enteritidis bacteriophage showing broad lytic activity against Gram-negative enteric bacteriaShukho Kim, Sung-Hun Kim, Marzia Rahman, et al.Breast Cancer (Tokyo, Japan)|June 23, 2012
Characteristic features and usefulness of MRI in breast cancer in patients under 40 years old: correlations with conventional imaging and prognostic factorsYeong Yi An, Sung Hun Kim, Bong Joo KangPlos One|March 31, 2017
Differentiation of malignant and benign breast lesions: Added value of the qualitative analysis of breast lesions on diffusion-weighted imaging (DWI) using readout-segmented echo-planar imaging at 3.0 TYeong Yi An, Sung Hun Kim, Bong Joo KangKorean Journal of Radiology|January 11, 2020
Automated Breast Ultrasound Screening for Dense BreastsSung Hun Kim, Hak Hee Kim, Woo Kyung MoonUltrasonography (Seoul, Korea)|July 15, 2020
What shear wave elastography parameter best differentiates breast cancer and predicts its histologic aggressiveness?Hyunjin Kim, Jeongmin Lee, Bong Joo Kang, et al.Journal of Magnetic Resonance Imaging : JMRI|November 21, 2020
Fully Automatic Assessment of Background Parenchymal Enhancement on Breast MRI Using Machine-Learning ModelsYoonho Nam, Ga Eun Park, Junghwa Kang, et al.Pageof 40