Phase mask enhancement for multi-echo MR images using a novel denoising method based on tissue relaxation properties. - Taejoon Eo; Younguk Kim; Jinseong Jang; Dosik Hwang (ICEIC, 2014)

Medical image matching using variable randomized undersampling probability pattern in data acquisition. - Jinseong Jang; Taejoon Eo; Min-Oh Kim; Narae Choi; Dongyup Han; Dong-Hyun Kim; Dosik Hwang (ICEIC, 2014)

Comparision study of stereoscopy in computed tomography : Projection versus MIP. - Younguk Kim; Jinseong Jang; Taejoon Eo; Dosik Hwang (ICEIC, 2014)

Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging. - Taejoon Eo; Hyungseob Shin; Taeseong Kim; Yohan Jun; Dosik Hwang (MICCAI (1), 2018)

Accelerating Cartesian MRI by domain-transform manifold learning in phase-encoding direction. - Taejoon Eo; Hyungseob Shin; Yohan Jun; Taeseong Kim; Dosik Hwang (Medical Image Anal., 2020)

Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. - Yohan Jun; Hyungseob Shin; Taejoon Eo; Dosik Hwang (CVPR, 2021)

Relevance-CAM: Your Model Already Knows Where To Look. - Jeong Ryong Lee; Sewon Kim; Inyong Park; Taejoon Eo; Dosik Hwang (CVPR, 2021)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (MLMIR@MICCAI, 2021)

Self-Training Based Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation. - Hyungseob Shin; Hyeongyu Kim; Sewon Kim; Yohan Jun; Taejoon Eo; Dosik Hwang (CoRR, 2021)

Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method. - Yohan Jun; Hyungseob Shin; Taejoon Eo; Taeseong Kim; Dosik Hwang (Medical Image Anal., 2021)

Digestive Organ Recognition in Video Capsule Endoscopy Based on Temporal Segmentation Network. - Yejee Shin; Taejoon Eo; Hyeongseop Rha; Dong Jun Oh; Geonhui Son; Jiwoong An; You Jin Kim; Dosik Hwang; Yun Jeong Lim (MICCAI (8), 2022)

COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training. - Hyungseob Shin; Hyeongyu Kim; Sewon Kim; Yohan Jun; Taejoon Eo; Dosik Hwang (CoRR, 2022)

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation. - Hyungseob Shin; Hyeongyu Kim; Sewon Kim; Yohan Jun; Taejoon Eo; Dosik Hwang (CVPR, 2023)

LLM-Guided Multi-modal Multiple Instance Learning for 5-Year Overall Survival Prediction of Lung Cancer. - Kyungwon Kim; Yongmoon Lee; Doohyun Park; Taejoon Eo; Daemyung Youn; Hyesang Lee; Dosik Hwang (MICCAI (3), 2024)

AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction. - Jinho Joo; Hyeseong Kim; Hyeyeon Won; Deukhee Lee; Taejoon Eo; Dosik Hwang (CVPR, 2025)

Ensemble and low-frequency mixing with diffusion models for accelerated MRI reconstruction. - Yejee Shin; Geonhui Son; Dosik Hwang; Taejoon Eo (Medical Image Anal., 2025)