Eun Young Chae

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Clustered Microcalcification Detection in Digital Mammography for Various Breast Densities

Hak Hee Kim, Ji Eun Oh, Kwang Gi Kim, 2018 .

Simplified computer-aided detection scheme of microcalcification clusters in digital breast tomosynthesis images

Seung-Hoon Chae, Young-Wook Choi, Sooyeul Lee, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Radial scars/complex sclerosing lesions of the breast: radiologic and clinicopathologic correlation

Hak Hee Kim, Hee Jung Shin, Joo Hee Cha, 2018, BMC Medical Imaging.

DR AF T Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography pdf

Jong Chul Ye, Abdul Wahab, Young-Wook Choi, 2017 .

Simplified false-positive reduction in computer-aided detection scheme of clustered microcalcifications in digital breast tomosynthesis

Seung-Hoon Chae, Young-Wook Choi, Hak Hee Kim, 2015, Medical Imaging.

Screening mammography for second breast cancers in women with history of early-stage breast cancer: factors and causes associated with non-detection

Hak Hee Kim, Hee Jung Shin, Joo Hee Cha, 2019, BMC Medical Imaging.

Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis

Seung-Hoon Chae, Young-Wook Choi, Hak Hee Kim, 2016, BioMed research international.

Detection method of visible and invisible nipples on digital breast tomosynthesis

Seung-Hoon Chae, Young-Wook Choi, Sooyeul Lee, 2015, Medical Imaging.

A synthesizing method for signal-enhanced and artifact-reduced mammogram from digital breast tomosynthesis

Young-Wook Choi, Seungryong Cho, Eun Young Chae, 2020, Physics in medicine and biology.

Fully automated nipple detection in digital breast tomosynthesis

Seung-Hoon Chae, Jang-Hwan Choi, Young-Wook Choi, 2017, Comput. Methods Programs Biomed..

The role of MRI and clinicopathologic features in predicting the invasive component of biopsy-confirmed ductal carcinoma in situ

Hee Jung Shin, Joo Hee Cha, Eun Young Chae, 2020, BMC Medical Imaging.

Deep Learning Diffuse Optical Tomography

Jaejun Yoo, Jong Chul Ye, Young-Wook Choi, 2017, IEEE Transactions on Medical Imaging.

Diagnostic performance of standard breast MR imaging compared to dedicated axillary MR imaging in the evaluation of axillary lymph node

Hee Jung Shin, Joo Hee Cha, Eun Young Chae, 2020, BMC Medical Imaging.

Comparison of readout segmented echo planar imaging (EPI) and EPI with reduced field‐of‐VIew diffusion‐weighted imaging at 3t in patients with breast cancer

Hee Jung Shin, Joo Hee Cha, Eun Young Chae, 2015, Journal of magnetic resonance imaging : JMRI.

Diagnostic performance of automated breast ultrasound as a replacement for a hand-held second-look ultrasound for breast lesions detected initially on magnetic resonance imaging.

Hee Jung Shin, Joo Hee Cha, Eun Young Chae, 2013, Ultrasound in medicine & biology.

A comparison between digital breast tomosynthesis and full-field digital mammography for the detection of breast cancers

Young-Wook Choi, Hee Jung Shin, Joo Hee Cha, 2016, Breast Cancer.

Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms

Woong Bae Yoon, Eun Young Chae, Soo Yeul Lee, 2016, BioMed research international.

Decrease in interpretation time for both novice and experienced readers using a concurrent computer-aided detection system for digital breast tomosynthesis

Seung-Hoon Chae, Young-Wook Choi, Eun Young Chae, 2018, European Radiology.

Tumor apparent diffusion coefficient as an imaging biomarker to predict tumor aggressiveness in patients with estrogen‐receptor‐positive breast cancer

Hee Jung Shin, Joo Hee Cha, Eun Young Chae, 2016, NMR in biomedicine.

Association of BRCA Mutation Types, Imaging Features, and Pathologic Findings in Patients With Breast Cancer With BRCA1 and BRCA2 Mutations.

Hee Jung Shin, Joo Hee Cha, Eun Young Chae, 2017, AJR. American journal of roentgenology.