Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. - Young-Gon Kim; Kyung Sang Kim; Dufan Wu; Hui Ren 001; Won Young Tak; Soo Young Park; Yu Rim Lee; Min Kyu Kang; Jung Gil Park; Byung Seok Kim; Woo Jin Chung; Mannudeep K. Kalra; et al. (CoRR, 2020)

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. - Dufan Wu; Kuang Gong; Chiara Daniela Arru; Fatemeh Homayounieh; Bernardo Bizzo; Varun Buch; Hui Ren 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. - Aoxiao Zhong; Xiang Li 001; Dufan Wu; Hui Ren 001; Kyung Sang Kim; Young-Gon Kim; Varun Buch; Nir Neumark; Bernardo Bizzo; Won Young Tak; Soo Young Park; Yu Rim Lee; et al. (Medical Image Anal., 2021)

Abdominal CT Segmentation for Body Composition Assessment Using Network Consistency Learning. - Shahzad Ali; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (EMBC, 2023)

Cell Nuclei Segmentation With Dynamic Token-Based Attention Network. - Muhammad Salman Khan; Shahzad Ali; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (EMBC, 2023)

TransUNet-Lite: A Robust Approach to Cell Nuclei Segmentation. - Muhammad Salman Khan; Shahzad Ali; Yu Rim Lee; Min Kyu Kang; Soo Young Park; Won Young Tak; Soon Ki Jung (ICMHI, 2023)

Volumetric Body Composition Through Cross-Domain Consistency Training for Unsupervised Domain Adaptation. - Shahzad Ali; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (ISVC (1), 2023)

Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling. - Shahzad Ali; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (CoRR, 2024)

Inter-Slice Dual Cross Attention and Class-Level Alignment for 2.5D Medical Image Segmentation. - Hyunji Lee; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (AVSS, 2025)

ISVAM : Interslice Variation Attention Module for 2.5D Multi-Organ Segmentation in CT. - Hyunji Lee; Jaeseok Jang; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (ICAIIC, 2025)

Efficient Medical Image Segmentation Using Probabilistic KNN Label Downsampling. - Shahzad Ali; Muhammad Salman Khan; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (SAC, 2025)

Edge-Preserving Probabilistic Downsampling for Reliable Medical Segmentation in Resource-Constrained Environments. - Shahzad Ali; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (IEEE Access, 2025)

Unsupervised domain adaptation by cross-domain consistency learning for CT body composition. - Shahzad Ali; Yu Rim Lee; Soo Young Park; Won Young Tak; Soon Ki Jung (Mach. Vis. Appl., 2025)