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Yoonmi Hong

Showing results (11-20 of 25) with videos related to

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IEEE Transactions on Medical Imaging|April 17, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial NetworksYoonmi Hong, Jaeil Kim, Geng Chen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 1, 2021
Tract Dictionary Learning for Fast and Robust Recognition of Fiber BundlesYe Wu, Yoonmi Hong, Sahar Ahmad, et al.
Computational Diffusion MRI : MICCAI Workshop|July 19, 2021
Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI DataJaeil Kim, Yoonmi Hong, Geng Chen, et al.
Biomaterials|September 11, 2012
Effect of orientation and density of nanotopography in dermal wound healingHong Nam Kim, Yoonmi Hong, Min Sung Kim, et al.
Cells, Tissues, Organs|March 26, 2014
Effects of various extracellular matrix proteins on the growth of HL-1 cardiomyocytesSeongkyun Choi, Yoonmi Hong, Insu Lee, et al.
Graph Learning in Medical Imaging : First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings|September 6, 2021
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural NetworksFeihong Liu, Jun Feng, Geng Chen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 4, 2021
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber ContinuityYe Wu, Yoonmi Hong, Sahar Ahmad, et al.
Biomicrofluidics|August 7, 2018
Microfluidic on-chip immunohistochemistry directly from a paraffin-embedded sectionChang Hyun Cho, Seyong Kwon, Segi Kim, et al.
Frontiers in Human Neuroscience|March 2, 2026
Long-term associations between perinatal factors and white matter microstructure at 8-10 yearsInjoong Kim, Omar Azrak, Mark Foster, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 26, 2021
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural NetworksGeng Chen, Yoonmi Hong, Yongqin Zhang, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Medical Imaging|April 17, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial NetworksYoonmi Hong, Jaeil Kim, Geng Chen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 1, 2021
Tract Dictionary Learning for Fast and Robust Recognition of Fiber BundlesYe Wu, Yoonmi Hong, Sahar Ahmad, et al.
Computational Diffusion MRI : MICCAI Workshop|July 19, 2021
Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI DataJaeil Kim, Yoonmi Hong, Geng Chen, et al.
Biomaterials|September 11, 2012
Effect of orientation and density of nanotopography in dermal wound healingHong Nam Kim, Yoonmi Hong, Min Sung Kim, et al.
Cells, Tissues, Organs|March 26, 2014
Effects of various extracellular matrix proteins on the growth of HL-1 cardiomyocytesSeongkyun Choi, Yoonmi Hong, Insu Lee, et al.
Graph Learning in Medical Imaging : First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings|September 6, 2021
DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural NetworksFeihong Liu, Jun Feng, Geng Chen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 4, 2021
Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber ContinuityYe Wu, Yoonmi Hong, Sahar Ahmad, et al.
Biomicrofluidics|August 7, 2018
Microfluidic on-chip immunohistochemistry directly from a paraffin-embedded sectionChang Hyun Cho, Seyong Kwon, Segi Kim, et al.
Frontiers in Human Neuroscience|March 2, 2026
Long-term associations between perinatal factors and white matter microstructure at 8-10 yearsInjoong Kim, Omar Azrak, Mark Foster, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 26, 2021
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural NetworksGeng Chen, Yoonmi Hong, Yongqin Zhang, et al.
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