Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. - Youngwon Choi; Yongchan Kwon; Han-Byul Lee; Beomjoon Kim; Myunghee Cho Paik; Joong-Ho Won (BrainLes@MICCAI, 2016)

Ornstein Auto-Encoders. - Youngwon Choi; Joong-Ho Won (IJCAI, 2019)

Learning from Nested Data with Ornstein Auto-Encoders. - Youngwon Choi; Sungdong Lee; Joong-Ho Won (ICML, 2021)

Mga-Net: Multi-Scale Guided Attention Models for an Automated Diagnosis of Idiopathic Pulmonary Fibrosis (IPF). - Wenxi Yu; Hua Zhou 001; Youngwon Choi; Jonathan G. Goldin; Hyun J. Grace Kim (ISBI, 2021)

An automatic diagnosis of idiopathic pulmonary fibrosis (IPF) using domain knowledge-guided attention models in HRCT images. - Wenxi Yu; Hua Zhou 001; Youngwon Choi; Jonathan G. Goldin; Pangyu Teng; Hyun J. Grace Kim (Computer-Aided Diagnosis, 2021)

AI-human interactive pipeline with feedback to accelerate medical image annotation. - Youngwon Choi; Marlena Garcia; Steven S. Raman; Dieter R. Enzmann; Matthew S. Brown (Computer-Aided Diagnosis, 2022)

Impact of Diffusion-Perfusion Mismatch on Predicting Final Infarction Lesion Using Deep Learning. - Sungdong Lee; Leonard Sunwoo; Youngwon Choi; Jae Hyup Jung; Seung Chai Jung; Joong-Ho Won (IEEE Access, 2022)

SimpleMind adds thinking to deep neural networks. - Youngwon Choi; M. Wasil Wahi-Anwar; Matthew S. Brown (CoRR, 2022)

Individual Sub-Band Estimation Approach to Bandwidth Extension and Enhancement of Coded Speech. - Youngwon Choi; Eunkyun Lee; Inseon Jang; Jong Won Shin (ICASSP, 2023)

Machine reasoning for segmentation of the kidneys on CT images: improving CNN performance by incorporating anatomical knowledge in post-processing. - Gabriel Melendez-Corres; Youngwon Choi; M. Wasil Wahi-Anwar; Heidi Coy; Steven S. Raman; Matthew S. Brown (Computer-Aided Diagnosis, 2023)

Catheter segmentation in chest x-ray: improving imbalanced segmentation with a class frequency weighted loss function. - Siyuan Wei; Youngwon Choi; M. Wasil Wahi-Anwar; Liza Shrestha; Koon-Pong Wong; Matthew S. Brown (Computer-Aided Diagnosis, 2023)

Implementing Trustworthy AI in Real-world Medical Imaging using the SimpleMind Software Environment. - Matthew S. Brown; M. Wasil Wahi-Anwar; Youngwon Choi; Morgan Daly; Liza Shrestha; Koon-Pong Wong; Jonathan G. Goldin; Dieter R. Enzmann (NeSy, 2023)

Wasserstein Geodesic Generator for Conditional Distributions. - Young-geun Kim 002; Kyungbok Lee; Youngwon Choi; Joong-Ho Won; Myunghee Cho Paik (CoRR, 2023)