Yoonmi Hong - RankMe

22 papers Journal 10Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Predicting Cognitive Outcomes by Mapping White Matter Tracts to Surface. MLMI@MICCAI Yoonmi Hong, Omar Azrak, Jason J. Wolff, Meghan R. Swanson, Jed T. Elison, Guido Gerig, John R. Pruett Jr., Clement Vachet, Kelly N. Botteron, Stephen R. Dager, Annette M. Estes, Heather Cody Hazlett, Robert T. Schultz, Mark D. Shen, Lonnie Zwaigenbaum, Alan C. Evans, D. Louis Collins, Vladimir S. Fonov, Emil Cornea, Jessica B. Girault, Mark Foster, Sun Hyung Kim, Dea Garic, Juan Carlos Prieto, Joseph Piven, John H. Gilmore, Martin Styner
2024	—	`conf`	SMNET: A Spherical Mean Network for Probing Tissue Microarchitecture from Single-Shell DMRI. ISBI Ye Wu, Yue Ding, Xiaoming Liu, Jiaolong Qin, Yizhe Zhang, Yoonmi Hong, Tao Zhou
2024	J	`jnl`	Spherical-deconvolution informed filtering of tractograms changes laterality of structural connectome. NeuroImage Yifei He, Yoonmi Hong, Ye Wu
2023	J	`jnl`	Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions. Medical Image Anal. Geng Chen, Yoonmi Hong, Khoi Minh Huynh, Pew-Thian Yap
2022	J	`jnl`	Rapid Diffusion Magnetic Resonance Imaging Using Slice-Interleaved Encoding. Medical Image Anal. Tiantian Xu, Ye Wu, Yoonmi Hong, Sahar Ahmad, Khoi Minh Huynh, Zhixing Wang, Weili Lin, Wei-Tang Chang, Pew-Thian Yap
2021	—	`conf`	Active Cortex Tractography. MICCAI (7) Ye Wu, Yoonmi Hong, Sahar Ahmad, Pew-Thian Yap
2021	—	`conf`	Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. MLMI@MICCAI Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap
2020	—	`conf`	Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks. MICCAI (7) Geng Chen, Yoonmi Hong, Yongqin Zhang, Jaeil Kim, Khoi Minh Huynh, Jiquan Ma, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	—	`conf`	Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity. MICCAI (7) Ye Wu, Yoonmi Hong, Sahar Ahmad, Wei-Tang Chang, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	J	`jnl`	Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions. Medical Image Anal. Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap
2020	J	`jnl`	Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE). CoRR Yoonmi Hong, Wei-Tang Chang, Geng Chen, Ye Wu, Weili Lin, Dinggang Shen, Pew-Thian Yap
2020	—	`conf`	Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles. MICCAI (7) Ye Wu, Yoonmi Hong, Sahar Ahmad, Weili Lin, Dinggang Shen, Pew-Thian Yap
2019	—	`conf`	DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. GLMI@MICCAI Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks. CoRR Feihong Liu, Jun Feng, Geng Chen, Ye Wu, Yoonmi Hong, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks. IEEE Trans. Medical Imaging Yoonmi Hong, Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen
2019	J	`jnl`	Mitigating Gyral Bias in Cortical Tractography via Asymmetric Fiber Orientation Distributions. CoRR Ye Wu, Yoonmi Hong, Yuanjing Feng, Dinggang Shen, Pew-Thian Yap
2019	—	`conf`	Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data. IPMI Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen
2019	—	`conf`	Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks. MICCAI (3) Yoonmi Hong, Geng Chen, Pew-Thian Yap, Dinggang Shen
2018	J	`jnl`	Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 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
2017	—	`conf`	Automatic Segmentation of LV and RV in Cardiac MRI. STACOM@MICCAI Yeonggul Jang, Yoonmi Hong, Seongmin Ha, Sekeun Kim, Hyuk-Jae Chang
2017	—	`conf`	Coronary luminal and wall mask prediction using convolutional neural network. ISBI Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang
2017	J	`jnl`	Maximum a posteriori estimation method for aorta localization and coronary seed identification. Pattern Recognit. Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang