SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (CoRR, 2023)

SSNet: Synergistic Segmentation of Brain MRI Scans Using nnUNetv2 and SAM-track. - Yongeun Jang; Kwang-Ju Kim; In-Su Jang; Gwang Lee (ICAIIC, 2024)

SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. - João Cartucho; Alistair Weld; Samyakh Tukra; Haozheng Xu; Hiroki Matsuzaki; Taiyo Ishikawa; Minjun Kwon; Yongeun Jang; Kwang-Ju Kim; Gwang Lee; Bizhe Bai; Lueder A. Kahrs; et al. (Medical Image Anal., 2024)

CPPpred-En: Ensemble framework integrating a protein language model and conventional features for highly accurate cell-penetrating peptide prediction. - Yongeun Jang; Minjun Kwon; Seok Gi Kim; Nimisha Pradeep George; Ji Su Hwang; Shaherin Basith; Gwang Lee (Comput. Biol. Medicine, 2025)

EnsemPred-ACP: Combining machine and deep learning to improve anticancer peptide prediction. - Minjun Kwon; Yongeun Jang; Ji Su Hwang; Seok Gi Kim; Nimisha Pradeep George; Shaherin Basith; Gwang Lee (Comput. Biol. Medicine, 2025)