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Journal of Breast Cancer|July 11, 2017
Imaging Surveillance for Survivors of Breast Cancer: Correlation between Cancer Characteristics and Method of DetectionA Jung Chu, Jung Min Chang, Nariya Cho, et al.
Journal of Breast Cancer|October 4, 2017
Erratum: Imaging Surveillance for Survivors of Breast Cancer: Correlation between Cancer Characteristics and Method of DetectionA Jung Chu, Jung Min Chang, Nariya Cho, et al.
AJR. American Journal of Roentgenology|February 14, 2024
Artificial Intelligence for Breast Ultrasound: AJR Expert Panel Narrative ReviewManisha Bahl, Jung Min Chang, Lisa A Mullen, et al.
Radiology|February 19, 2011
Breast mass evaluation: factors influencing the quality of US elastographyJung Min Chang, Woo Kyung Moon, Nariya Cho, et al.
Physics in Medicine and Biology|January 13, 2017
Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesisDae Hoe Kim, Seong Tae Kim, Jung Min Chang, et al.
Korean Journal of Radiology|March 6, 2015
Characterization of breast lesions: comparison of digital breast tomosynthesis and ultrasonographySun Ah Kim, Jung Min Chang, Nariya Cho, et al.
Academic Radiology|January 12, 2024
Artificial Intelligence for Breast Cancer Detection on Mammography: Factors Related to Cancer DetectionHeera Yoen, Myoung-Jin Jang, Ann Yi, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|April 19, 2011
Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound dataJung Min Chang, Woo Kyung Moon, Nariya Cho, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|March 10, 2017
Background echotexture classification in breast ultrasound: inter-observer agreement studyWon Hwa Kim, Su Hyun Lee, Jung Min Chang, et al.
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