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)

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search. - Hyunghun Cho; Jungwook Shin; Wonjong Rhee (CoRR, 2022)

Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. - Jungwook Shin; Jaeill Kim; Kyungeun Lee; Hyunghun Cho; Wonjong Rhee (AAAI, 2023)

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution. - Jaeill Kim; Suhyun Kang; Duhun Hwang; Jungwook Shin; Wonjong Rhee (CVPR, 2023)

Enhancing Fine-Tuning in Low Data Regime by Increasing Representation Entropy During Pre-Training Phase. - Jaeill Kim; Jungwook Shin; Wonjong Rhee (ICTC, 2023)

Elastic Deformable Augmentation for Autonomous Driving. - Jungwook Shin; Jaeill Kim; Wonjong Rhee (ICTC, 2023)

DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion. - Jungwook Shin; Jaeill Kim; Kyungeun Lee; Hyunghun Cho; Wonjong Rhee (CoRR, 2023)