Publications by authors named "Min Sun Bae"

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Diagnostic performance of shear-wave dispersion imaging and shear-wave elastography for differentiating benign and malignant breast masses.
Eunkyung Woo, Ji Young Lee, Bo Kyoung Seo, Min Sun Bae, Eun Kyung Park

Eur Radiol· December 2025

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Beyond the Image: How Acquisition Parameters Influence AI and Radiologists in Screening Mammography.
Hyo-Jae Lee, Min Sun Bae

Radiol Artif Intell· November 2025

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Optimized prediction of breast cancer tumor microenvironment using MRI-based intratumoral and peritumoral radiomics: a prospective study.
Eun Sil Kim, Sungwon Ham, Bo Kyoung Seo, Ji Young Lee, Woong Sun, Min Sun Bae

Front Oncol· November 2025

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Explainable AI in MRI for Breast Cancer Detection: Another Step Forward.
Min Sun Bae, Sungwon Ham

Radiology· July 2025

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Superior performance in classification of breast cancer molecular subtype and histological factors by radiomics based on ultrafast MRI over standard MRI: evidence from a prospective study.
Juhyun Jeong, Sungwon Ham, Bo Kyoung Seo, Jeong Taek Lee, Shuncong Wang, Min Sun Bae

Radiol Med· March 2025

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Performance of Digital Mammography-Based Artificial Intelligence Computer-Aided Diagnosis on Synthetic Mammography From Digital Breast Tomosynthesis.
Kyung Eun Lee, Sung Eun Song, Kyu Ran Cho, Min Sun Bae, Bo Kyoung Seo

Korean J Radiol· March 2025

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Primary Mucosa-Associated Lymphoid Tissue Lymphoma of the Breast with Synchronous Contralateral Invasive Breast Cancer: A Case Report.
Kyeong Jin Lee, Yoon Yeong Choi, Suk Jin Choi, Min Sun Bae

J Korean Soc Radiol· March 2025

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AI Improves Cancer Detection and Reading Time of Digital Breast Tomosynthesis.
Min Sun Bae

Radiol Artif Intell· May 2024

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Clinical applications of shear wave dispersion imaging for breast lesions: a pictorial essay.
Min Sun Bae, Hyo Young Kim, Hyunseung Oh, Bo Kyoung Seo

Ultrasonography· October 2023

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Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening.
Min Sun Bae

Radiology· September 2023

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Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women.
Hayoung Kim, Jihe Lim, Hyug-Gi Kim, Yunji Lim, Bo Kyoung Seo, Min Sun Bae

Diagnostics (Basel)· July 2023

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Breast Cancer Screening with Digital Breast Tomosynthesis Improves Performance of Mammography Screening.
Min Sun Bae, Bo Kyoung Seo

Radiology· May 2023

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Impact of Molecular Subtype Definitions on AI Classification of Breast Cancer at MRI.
Min Sun Bae

Radiology· April 2023

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Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study.
Mi-Ryung Han, Ah Young Park, Bo Kyoung Seo, Min Sun Bae, Jung Sun Kim

Discov Oncol· April 2023

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Comparison of CT- and MRI-Based Quantification of Tumor Heterogeneity and Vascularity for Correlations with Prognostic Biomarkers and Survival Outcomes: A Single-Center Prospective Cohort Study.
Hyo-Young Kim, Min-Sun Bae, Bo-Kyoung Seo, Ji-Young Lee, Kyu-Ran Cho

Bioengineering (Basel)· April 2023

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Breast Cancer Risk Prediction Using Deep Learning.
Min Sun Bae, Hyug-Gi Kim

Radiology· December 2021

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Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score.
Michelle Zhang, Meredith Sadinski, Dana Haddad, Min Sun Bae, Danny Martinez

Front Oncol· February 2021

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Sustainable Benefits of Digital Breast Tomosynthesis Screening.
Min Sun Bae

Radiology· January 2021

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Survival Outcomes of Screening with Breast MRI in Women at Elevated Risk of Breast Cancer.
Min Sun Bae, Janice S Sung, Blanca Bernard-Davila, Elizabeth J Sutton, Christopher E Comstock

J Breast Imaging· February 2020

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Using Deep Learning to Predict Axillary Lymph Node Metastasis from US Images of Breast Cancer.
Min Sun Bae

Radiology· January 2020

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Preoperative breast MRI features associated with positive or close margins in breast-conserving surgery.
Min Sun Bae, Blanca Bernard-Davila, Janice S Sung, Elizabeth A Morris

Eur J Radiol· August 2019

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Is Synthetic Mammography Comparable to Digital Mammography for Detection of Microcalcifications in Screening?
Min Sun Bae, Woo Kyung Moon

Radiology· December 2018

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Computer-aided prediction model for axillary lymph node metastasis in breast cancer using tumor morphological and textural features on ultrasound.
Woo Kyung Moon, I-Ling Chen, Ann Yi, Min Sun Bae, Sung Ui Shin

Comput Methods Programs Biomed· August 2018

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Association of preoperative breast MRI features with locoregional recurrence after breast conservation therapy.
Min Sun Bae, Jung Min Chang, Nariya Cho, Wonshik Han, Han Suk Ryu

Acta Radiol· April 2018

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Association between US features of primary tumor and axillary lymph node metastasis in patients with clinical T1-T2N0 breast cancer.
Min Sun Bae, Sung Ui Shin, Sung Eun Song, Han Suk Ryu, Wonshik Han

Acta Radiol· April 2018

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