Foscu: Feasibility of Synthetic Mri Generation Via Duo-Diffusion Models for Enhancement of 3D U-Nets in Hepatic Segmentation. - Youngung Han; Kyeonghun Kim; Seoyoung Ju; Yeonju Jean; Minkyung Cha; Seohyoung Park; Hyeonseok Jung; Nam-Joon Kim; Woo Kyoung Jeong; Ken Ying-Kai Liao; Hyuk-Jae Lee (APCCAS, 2025)

Losa-Net: A Localized and Scale-Adaptive Network for Boundary-Sensitive Prediction of Perineural Invasion in 3D MRI. - Youngung Han; Hyunsu Go; Kyeonghun Kim; Induk Um; Junga Kim; Jaewon Jung; Nam-Joon Kim; Woo Kyoung Jeong; Won Jae Lee; Ken Ying-Kai Liao; Pa Hong; Hyuk-Jae Lee (ISBI, 2026)

MMA-Former: Multi-Window Mixture-of-Head Attention Transformer for Adaptive PNI Prediction in 3D MRI. - Youngung Han; Induk Um; Kyeonghun Kim; Junga Kim; Hyunsu Go; Jaewon Jung; Nam-Joon Kim; Woo Kyoung Jeong; Won Jae Lee; Pa Hong; Ken Ying-Kai Liao; Hyuk-Jae Lee (ISBI, 2026)

3D-LLDM: Label-Guided 3D Latent Diffusion Model for Improving High-Resolution Synthetic MR Imaging in Hepatic Structure Segmentation. - Kyeonghun Kim; Jaehyeok Bae; Youngung Han; Joo Young Bae; Seoyoung Ju; Junsu Lim; Gyeongmin Kim; Nam-Joon Kim; Woo Kyoung Jeong; Ken Ying-Kai Liao; Won Jae Lee; Pa Hong; et al. (ISBI, 2026)

NeoNet: An End-to-End 3D MRI-Based Deep Learning Framework for Non-Invasive Prediction of Perineural Invasion via Generation-Driven Classification. - Youngung Han; Minkyung Cha; Kyeonghun Kim; Induk Um; Myeongbin Sho; Jooyoung Bae; Jaewon Jung; Jung Hyeok Park; Seojun Lee; Nam-Joon Kim; Woo Kyoung Jeong; Won Jae Lee; et al. (CoRR, 2026)

MATHENA: Mamba-based Architectural Tooth Hierarchical Estimator and Holistic Evaluation Network for Anatomy. - Kyeonghun Kim; Jaehyung Park; Youngung Han; Anna Jung; Seongbin Park; Sumin Lee; Jiwon Yang; Jiyoon Han; Subeen Lee; Junsu Lim; Hyunsu Go; Eunseob Choi; et al. (CoRR, 2026)