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Acta Radiologica (Stockholm, Sweden : 1987)|September 10, 2020
Fully automated measurements of volumetric breast density adapted for BIRADS 5th edition: a comparison with visual assessmentJi Hyun Youk, Hye Mi Gweon, Eun Ju Son, et al.
Clinical Anatomy (New York, N.Y.)|March 26, 2018
Association between cervical lordotic curvature and cervical muscle cross-sectional area in patients with loss of cervical lordosisSeo Yeon Yoon, Hyun Im Moon, Sang Chul Lee, et al.
European Radiology|December 6, 2019
Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patientsNa Lae Eun, Eun Ju Son, Hye Mi Gweon, et al.
Cancers|January 11, 2022
Preoperative Nodal US Features for Predicting Recurrence in N1b Papillary Thyroid CarcinomaNa Lae Eun, Jeong-Ah Kim, Hye Mi Gweon, et al.
NPJ Breast Cancer|May 12, 2026
Clinical significance of residual microcalcifications after neoadjuvant chemotherapy: MRI response and the subtypesSoong June Bae, Seung Ho Baek, Yoonwon Kook, et al.
Korean Journal of Radiology|July 16, 2015
Balloon-Supported Passage of a Stent-Graft into the Aortic ArchNa Lae Eun, Dahye Lee, Suk-Won Song, et al.
Cancers|October 27, 2022
Correlation of Yes-Associated Protein 1 with Stroma Type and Tumor Stiffness in Hormone-Receptor Positive Breast CancerYangkyu Lee, Soong June Bae, Na Lae Eun, et al.
Scientific Reports|December 15, 2021
A convolutional deep learning model for improving mammographic breast-microcalcification diagnosisDaesung Kang, Hye Mi Gweon, Na Lae Eun, et al.
Ultraschall in Der Medizin (Stuttgart, Germany : 1980)|April 9, 2024
Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosisNa Lae Eun, Eunjung Lee, Ah Young Park, et al.
European Radiology|March 11, 2021
Texture analysis using machine learning-based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapyNa Lae Eun, Daesung Kang, Eun Ju Son, et al.
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