Publications

Prediction of Lymph Node Metastasis in Early Gastric Cancer Using Foundation Model Ensembles and Patch-Based Histopathological Interpretation

Woojin Chung, Yujun Park, Yoonjin Kwak, Hae Dong Lee, Bohyoung Kim, Cheol Min Shin†, Yoonho Nam†, Hye Seung Lee†

Laboratory Investigation, 2026  |  DOI: 10.1016/j.labinv.2026.106161

Post-gadolinium T1 alterations in Parkinson's disease and essential tremor

Junsung Kim, Eunseon Jeong, Yangsean Choi†, Yoonho Nam†, Ho Sung Kim, Sungyang Jo, Sun Ju Chung

npj Parkinson's Disease, 2026  |  DOI: 10.1038/s41531-026-01390-z

Automatic lateral ventricle and choroid plexus segmentation method in infant brain MR images

Junghwa Kang, Hyun Gi Kim†, Na-Young Shin, Yoonho Nam†

BMC Medical Imaging, 2026  |  DOI: 10.1186/s12880-026-02335-x

Improved BG‐PVS Quantification in Infant Brain MRI Using Anatomy‐Informed Pseudo‐Labels for Joint BG and PVS Segmentation

Junghwa Kang, Dayeon Bak, Na‐young Shin, Hyun Gi Kim†,Yoonho Nam†

Journal of Magnetic Resonance Imaging, 2026  |  DOI: 10.1002/jmri.70298

Deep Learning‐Based Inner Ear Subregion Segmentation in 3D T2‐Weighted MRI Using Label‐Preserving Data Augmentation

Wooseung Kim,Yeonah Kang, Seokhwan Lee, Ho‐Joon Lee†,Yoonho Nam†

NMR in Biomedicine, 2026  |  DOI: 10.1002/nbm.70266

Pilot study of association between neonatal brain perivascular space volume and neurodevelopmental outcomes at 24 months

Arum Choi, Dayeon Bak, Ah-Ra Cho, Hosna Asma-ull, Yoonho Nam†, Hyun Gi Kim†

BMC Medical Imaging, 2025  |  DOI: 10.1186/s12880-025-01912-w

3D Breast Cancer Segmentation in DCE‐MRI Using Deep Learning With Weak Annotation

Ga Eun Park, Sung Hun Kim†, Yoonho Nam†, Junghwa Kang, Minjeong Park, Bong Joo Kang

Journal of Magnetic Resonance Imaging, 2024  |  DOI: 10.1002/jmri.28960

Label-Preserving Data Augmentation for Robust Segmentation of Thin Structure in MRI

Wooseung Kim, Yeonah Kang, Seokhwan Lee, Ho-Joon Lee, Yoonho Nam†

Investigative Magnetic Resonance Imaging, 2024  |  DOI: 10.13104/imri.2024.0014

Development and Validation of Deep Learning‐Based Automated Detection of Cervical Lymphadenopathy in Patients with Lymphoma for Treatment Response Assessment: A Bi‐institutional Feasibility Study

Yoonho Nam, Su-Youn Kim, Kyu-Ah Kim, Euna Kwon, Yoo Hyun Lee, Jinhee Jang, Min Kyoung Lee, Jiwoong Kim, Yangsean Choi†

Journal of Imaging Informatics in Medicine, 2024  |  DOI: 10.1007/s10278-024-00966-6