Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network. - Euijin Jung; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sanghyun Park 004 (PRIME@MICCAI, 2018)

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. - Euijin Jung; Philip Chikontwe; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sang Hyun Park 004 (IEEE Access, 2019)

Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (PRIME@MICCAI, 2020)

Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (MICCAI (6), 2021)

Low-Dose CT Denoising Using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (PRIME@MICCAI, 2021)

Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (CoRR, 2021)

Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression. - Euijin Jung; Miguel Luna; Sanghyun Park 004 (Pattern Recognit., 2023)

fNIRS Foundation Model for Few-Shot Based fNIRS Classification. - Euijin Jung; Hyunmin Lee; Jinung An (BCI, 2025)