Yoonmi Hong

According to our database, Yoonmi Hong authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions.

Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap

Medical Image Anal., April, 2023

2022

Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding.

Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap

Medical Image Anal., 2022

2021

Active Cortex Tractography.

Ye Wu, Yoonmi Hong, Sahar Ahmad, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Vox2Surf: Implicit Surface Reconstruction from Volumetric Data.

Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020

Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions.

Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap

Medical Image Anal., 2020

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE).

Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap

CoRR, 2020

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles.

Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity.

Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.

Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.

Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen

IEEE Trans. Medical Imaging, 2019

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks.

Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks.

Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data.

Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jaeger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2018

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

Automatic Segmentation of LV and RV in Cardiac MRI.

Yeonggul Jang, Yoonmi Hong, Seongmin Ha, Sekeun Kim, Hyuk-Jae Chang

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017