Coronary luminal and wall mask prediction using convolutional neural network. - Youngtaek Hong; Yoonmi Hong; Yeonggul Jang; Sekeun Kim; Byunghwan Jeon; Sunghee Jung; Seongmin Ha; Dongjin Han; Hackjoon Shim; Hyuk-Jae Chang (ISBI, 2017)

Automatic Segmentation of LV and RV in Cardiac MRI. - Yeonggul Jang; Yoonmi Hong; Seongmin Ha; Sekeun Kim; Hyuk-Jae Chang (STACOM@MICCAI, 2017)

Maximum a posteriori estimation method for aorta localization and coronary seed identification. - Byunghwan Jeon; Yoonmi Hong; Dongjin Han; Yeonggul Jang; Sunghee Jung; Youngtaek Hong; Seongmin Ha; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2017)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. - Yoonmi Hong; Geng Chen 001; Pew-Thian Yap; Dinggang Shen (IPMI, 2019)

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. - Yoonmi Hong; Geng Chen 001; Pew-Thian Yap; Dinggang Shen (MICCAI (3), 2019)

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. - Feihong Liu; Jun Feng 003; Geng Chen 001; Ye Wu 001; Yoonmi Hong; Pew-Thian Yap; Dinggang Shen (GLMI@MICCAI, 2019)

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. - Yoonmi Hong; Jaeil Kim; Geng Chen 001; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. - Geng Chen 001; Yoonmi Hong; Yongqin Zhang; Jaeil Kim; Khoi Minh Huynh; Jiquan Ma; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Wei-Tang Chang; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Weili Lin; Dinggang Shen; Pew-Thian Yap (MICCAI (7), 2020)

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). - Yoonmi Hong; Wei-Tang Chang; Geng Chen 001; Ye Wu 001; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2020)

Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. - Ye Wu 001; Yoonmi Hong; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2020)

Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. - Yoonmi Hong; Sahar Ahmad; Ye Wu 001; Siyuan Liu 004; Pew-Thian Yap (MLMI@MICCAI, 2021)

Active Cortex Tractography. - Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Pew-Thian Yap (MICCAI (7), 2021)

Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. - Tiantian Xu; Ye Wu 001; Yoonmi Hong; Sahar Ahmad; Khoi Minh Huynh; Zhixing Wang; Weili Lin; Wei-Tang Chang; Pew-Thian Yap (Medical Image Anal., 2022)

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. - Geng Chen 001; Yoonmi Hong; Khoi Minh Huynh; Pew-Thian Yap (Medical Image Anal., 2023)

SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. - Ye Wu 001; Yue Ding; Xiaoming Liu; Jiaolong Qin; Yizhe Zhang 001; Yoonmi Hong; Tao Zhou 002 (ISBI, 2024)

Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome. - Yifei He; Yoonmi Hong; Ye Wu 001 (NeuroImage, 2024)