A feasibility study of automatic lung nodule detection in chest digital tomosynthesis with machine learning based on support vector machine. - Donghoon Lee; Ye-seul Kim; Sunghoon Choi; Haenghwa Lee; Byungdu Jo; Seungyeon Choi; Jungwook Shin; Hee-Joung Kim (Computer-Aided Diagnosis, 2017)

Urban Smart Block: An Open IoT Platform for Creating Online-to-Offline Services in Urban Environments. - Jae Wan Park; Seungyeon Choi (Int. J. Embed. Real Time Commun. Syst., 2019)

ReBADD-SE: Multi-objective molecular optimisation using SELFIES fragment and off-policy self-critical sequence training. - Jonghwan Choi; Sangmin Seo 001; Seungyeon Choi; Shengmin Piao; Chihyun Park; Sung Jin Ryu; Byung Ju Kim; Sanghyun Park 003 (Comput. Biol. Medicine, 2023)

PretrainedBA: Enhancing Compound-Protein Binding Affinity Prediction Accuracy via Pre-training Large-Scale Interaction Information. - Sangmin Seo 001; Seungyeon Choi; Hwanhee Kim; Sanghyun Park 003 (BIBM, 2024)

SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction. - Seungyeon Choi; Sangmin Seo 001; Sanghyun Park 003 (ECAI, 2024)

DrDiff: Drug Response Prediction Through Controllable Diffusion-GE and Graph Attention Network. - Seungyeon Choi; Sangmin Seo 001; Jonghwan Choi; Chihyun Park; Sanghyun Park 003 (ECAI, 2024)

Exploring the potential of compound-protein complex structure-free models in virtual screening using BlendNet. - Sangmin Seo; Hwanhee Kim; Jieun Lee 006; Seungyeon Choi; Sanghyun Park (Briefings Bioinform., 2024)

PIDiff: Physics informed diffusion model for protein pocket-specific 3D molecular generation. - Seungyeon Choi; Sangmin Seo 001; Byung Ju Kim; Chihyun Park; Sanghyun Park 003 (Comput. Biol. Medicine, 2024)

Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism. - Sangmin Seo 001; Jonghwan Choi; Seungyeon Choi; Jieun Lee 006; Chihyun Park; Sanghyun Park 003 (Eng. Appl. Artif. Intell., 2024)