Sang Hyun Park
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Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
Altered brain developmental trajectories in adolescents after initiating drinking
A Pfefferbaum, D Kwon, T Brumback, WK Thompson, K Cummins, ...
American journal of psychiatry 175 (4), 370-380, 2018
Multiple instance learning with center embeddings for histopathology classification
P Chikontwe, M Kim, SJ Nam, H Go, SH Park
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images
S Lee, SH Park, H Shim, ID Yun, SU Lee
Computer Vision and Image Understanding 115 (12), 1710-1720, 2011
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization
X Zong, SH Park, D Shen, W Lin
Neuroimage 125, 895-902, 2016
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
Efficient and selective removal of radioactive iodine anions using engineered nanocomposite membranes
S Mushtaq, SJ Yun, JE Yang, SW Jeong, HE Shim, MH Choi, SH Park, ...
Environmental Science: Nano 4 (11), 2157-2163, 2017
Enhancement of perivascular spaces in 7 T MR image using Haar transform of non-local cubes and block-matching filtering
Y Hou, SH Park, Q Wang, J Zhang, X Zong, W Lin, D Shen
Scientific Reports 7 (1), 8569, 2017
Robust brain ROI segmentation by deformation regression and deformable shape model
Z Wu, Y Guo, SH Park, Y Gao, P Dong, SW Lee, D Shen
Medical image analysis 43, 198-213, 2018
Structured learning for 3-D perivascular space segmentation using vascular features
J Zhang, Y Gao, SH Park, X Zong, W Lin, D Shen
IEEE Transactions on Biomedical Engineering 64 (12), 2803-2812, 2017
Few-shot relation learning with attention for EEG-based motor imagery classification
S An, S Kim, P Chikontwe, SH Park
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Interactive prostate segmentation using atlas‐guided semi‐supervised learning and adaptive feature selection
SH Park, Y Gao, Y Shi, D Shen
Medical physics 41 (11), 111715, 2014
Spinal stenosis grading in magnetic resonance imaging using deep convolutional neural networks
D Won, HJ Lee, SJ Lee, SH Park
Spine 45 (12), 804-812, 2020
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features
SH Park, X Zong, Y Gao, W Lin, D Shen
NeuroImage 134, 223-235, 2016
Two-step U-Nets for brain tumor segmentation and random forest with radiomics for survival time prediction
S Kim, M Luna, P Chikontwe, SH Park
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
3D patchwise U-Net with transition layers for MR brain segmentation
M Luna, SH Park
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
A deep learning model for identifying diabetic retinopathy using optical coherence tomography angiography
G Ryu, K Lee, D Park, SH Park, M Sagong
Scientific reports 11 (1), 23024, 2021
Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation
SH Park, S Lee, ID Yun, SU Lee
Pattern Recognition 46 (9), 2408-2419, 2013
Enhancement of perivascular spaces using densely connected deep convolutional neural network
E Jung, P Chikontwe, X Zong, W Lin, D Shen, SH Park
IEEE Access 7, 18382-18391, 2019
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening
P Chikontwe, M Luna, M Kang, KS Hong, JH Ahn, SH Park
Medical Image Analysis 72, 102105, 2021
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