Area of research
Pathology and Forensic Medicine · Cancer Research
Research interest
Research interests include Breast Lesions and Carcinomas, Breast Cancer Treatment Studies, MRI in cancer diagnosis, and Thyroid Cancer Diagnosis and Treatment.
Classification of twinkling artifacts and blood flow for in vivo detection of breast microcalcifications.
Comparison of Clinical Performance Between Digital Breast Tomosynthesis and MammouS-N.
Association of T2-Weighted Imaging Features in Invasive Breast Cancer With Clinicopathologic Features and Neoadjuvant Treatment Outcomes.
Proteogenomic decoding of chemotherapy resistance in patients with triple-negative breast cancer.
Use of electronic medical records in simulated nursing education and its educational outcomes: A scoping review
AI-CAD for diagnostic mammography: comparison to radiologists according to different indications.
Imaging Features and Diagnostic Performance of US in Nonmass Lesions with Varying Clinical Indications.
Surveillance Breast MRI in Women with a History of Breast Cancer: Association with Occurrence of Advanced Second Breast Cancer.
Impact of clinical factors on the diagnostic performance of diffuse optical spectroscopic imaging for breast cancer.
Innovative Discrete Multi-Wavelength Near-Infrared Spectroscopic (DMW-NIRS) Imaging for Rapid Breast Lesion Differentiation: Feasibility Study.
In Vivo Conductivity of Normal Fibroglandular Tissue Using MR Electrical Properties Tomography: A Comparison With Apparent Diffusion Coefficient
Optimizing adult-oriented artificial intelligence for pediatric chest radiographs by adjusting operating points
Internal consistency reliability of the Revised Illness Perceptions Questionnaire: A systematic review and reliability generalization meta-analysis
AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ.
Second breast cancer following negative breast MRI: Analysis by interval from surgery and risk factors.
Barriers to Surveillance Mammography Adherence in Korean Breast Cancer Survivors.
Assessment of Feasibility and Interscan Variability of Short-time Cardiac MRI for Cardiotoxicity Evaluation in Breast Cancer.
Machine Learning Predicts Pathologic Complete Response to Neoadjuvant Chemotherapy for ER+HER2- Breast Cancer: Integrating Tumoral and Peritumoral MRI Radiomic Features.
Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer.
Diffusion-Weighted Magnetic Resonance Imaging for Preoperative Evaluation of Patients With Breast Cancer: Protocol of a Prospective, Multicenter, Observational Cohort Study.
Corrigendum: Diffusion-Weighted Magnetic Resonance Imaging for Preoperative Evaluation of Patients With Breast Cancer: Protocol of a Prospective, Multicenter, Observational Cohort Study.
Automatic Detection and Segmentation of Breast Cancer on MRI Using Mask R-CNN Trained on Non-Fat-Sat Images and Tested on Fat-Sat Images.
Ultrafast dynamic contrast-enhanced breast MRI: association with pathologic complete response in neoadjuvant treatment of breast cancer.
Real-Time Ultrasound Detection of Breast Microcalcifications Using Multifocus Twinkling Artifact Imaging.
AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications.
US, Mammography, and Histopathologic Evaluation to Identify Low Nuclear Grade Ductal Carcinoma in Situ
Impact of intratumoral heterogeneity on the metabolic profiling of breast cancer tissue using high-resolution magic angle spinning magnetic resonance spectroscopy.
The Global Reading Room: Recovery of Breast Cancer Screening Services After the COVID-19 Pandemic First Wave.
Fabrication and evaluation of bilateral Helmholtz radiofrequency coil for thermo-stable breast image with reduced artifacts.
Cancer yield and imaging features of probably benign calcifications at digital magnification view.