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2020 – today
- 2024
[c11]Ye Wu, Yue Ding, Xiaoming Liu, Jiaolong Qin, Yizhe Zhang, Yoonmi Hong, Tao Zhou:
SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. ISBI 2024: 1-4- 2023
- [j6]Geng Chen
, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap:
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. Medical Image Anal. 85: 102742 (2023) - 2022
- [j5]Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap:
Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. Medical Image Anal. 81: 102548 (2022) - 2021
- [c10]Ye Wu, Yoonmi Hong, Sahar Ahmad, Pew-Thian Yap:
Active Cortex Tractography. MICCAI (7) 2021: 467-476 - [c9]Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap:
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. MLMI@MICCAI 2021: 644-653 - 2020
- [j4]Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Anal. 59 (2020) - [c8]Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. MICCAI (7) 2020: 251-259 - [c7]Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. MICCAI (7) 2020: 260-269 - [c6]Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) 2020: 280-290 - [i3]Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR abs/2002.10908 (2020)
2010 – 2019
- 2019
- [j3]Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen:
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. IEEE Trans. Medical Imaging 38(12): 2717-2725 (2019) - [c5]Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. IPMI 2019: 530-541 - [c4]Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. GLMI@MICCAI 2019: 88-95 - [c3]Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen:
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. MICCAI (3) 2019: 529-537 - [i2]Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap:
Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions. CoRR abs/1904.03328 (2019) - [i1]Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen:
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. CoRR abs/1906.03051 (2019) - 2018
- [j2]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 Jäger, 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:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - 2017
- [j1]Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang:
Maximum a posteriori estimation method for aorta localization and coronary seed identification. Pattern Recognit. 68: 222-232 (2017) - [c2]Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang:
Coronary luminal and wall mask prediction using convolutional neural network. ISBI 2017: 1049-1052 - [c1]Yeonggul Jang, Yoonmi Hong, Seongmin Ha, Sekeun Kim, Hyuk-Jae Chang:
Automatic Segmentation of LV and RV in Cardiac MRI. STACOM@MICCAI 2017: 161-169
Coauthor Index
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