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Sung Hun Kim

Showing results (41-50 of 344) with videos related to

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Korean 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 Kang
World 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 Kang
Journal 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 Kang
Plos 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 Kang
Korean Journal of Radiology|January 11, 2020
Automated Breast Ultrasound Screening for Dense BreastsSung Hun Kim, Hak Hee Kim, Woo Kyung Moon
Nature|June 7, 2019
Climate change and tropical cyclone trendIl-Ju Moon, Sung-Hun Kim, Johnny C L Chan
Ultrasonography (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.
Plos One|June 5, 2018
Epidemiology of complex regional pain syndrome in Korea: An electronic population health data studyHyungtae Kim, Cheol-Hyeong Lee, Sung-Hun Kim, et al.
Pageof 35

Showing results (41-50 of 344) with videos related to

Sort By:
Pageof 35
Korean 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 Kang
World 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 Kang
Journal 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 Kang
Plos 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 Kang
Korean Journal of Radiology|January 11, 2020
Automated Breast Ultrasound Screening for Dense BreastsSung Hun Kim, Hak Hee Kim, Woo Kyung Moon
Nature|June 7, 2019
Climate change and tropical cyclone trendIl-Ju Moon, Sung-Hun Kim, Johnny C L Chan
Ultrasonography (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.
Plos One|June 5, 2018
Epidemiology of complex regional pain syndrome in Korea: An electronic population health data studyHyungtae Kim, Cheol-Hyeong Lee, Sung-Hun Kim, et al.
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