Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. - Jongbin Ryu; Gitaek Kwon; Ming-Hsuan Yang 001; Jongwoo Lim (ICLR, 2020)

Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity. - Gitaek Kwon; Eunjin Kim; Sunho Kim; Seongwon Bak; Minsung Kim; Jaeyoung Kim (MIDOG/DRAC@MICCAI, 2022)

Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models. - Gitaek Kwon; Jaeyoung Kim; Hong-Jun Choi; Byung-Moo Yoon; Sungchul Choi; Kyu-Hwan Jung (BMVC, 2023)

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images. - Bo Qian; Hao Chen 011; Xiangning Wang; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; Seoyoung Shin; Felix Krause 002; Markus Unterdechler; Junlin Hou; Rui Feng 001; et al. (CoRR, 2023)

Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography. - Myeong Seong Yoon; Gitaek Kwon; Jaehoon Oh; Jongbin Ryu; Jongwoo Lim; Bokyeong Kang; Juncheol Lee; Dongkyoon Han (J. Digit. Imaging, 2023)

Multi-Stage Region-Based Neural Networks for Fine-Grained Glaucoma Screening. - Eunjin Kim; Seunghoon Lee; Gitaek Kwon; Hyunwoo Kim; Jaeyoung Kim (ISBI, 2024)

Semi-supervised Segmentation Through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy. - Eunjin Kim; Gitaek Kwon; Jaeyoung Kim; Hyunjin Park (MICCAI (11), 2024)

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images. - Bo Qian; Hao Chen 011; Xiangning Wang; Zhouyu Guan; Tingyao Li; Yixiao Jin; Yilan Wu; Yang Wen; Haoxuan Che; Gitaek Kwon; Jaeyoung Kim; Sungjin Choi; et al. (Patterns, 2024)