Sang Hyun Park
Cited by
Cited by
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
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
M Shoaib, T Hussain, B Shah, I Ullah, SM Shah, F Ali, SH Park
Frontiers in Plant Science 13, 1031748, 2022
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
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
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
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
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
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
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
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
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
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
Bidirectional rnn-based few shot learning for 3d medical image segmentation
S Kim, S An, P Chikontwe, SH Park
Proceedings of the AAAI conference on artificial intelligence 35 (3), 1808-1816, 2021
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
Smart data processing for energy harvesting systems using artificial intelligence
S Divya, S Panda, S Hajra, R Jeyaraj, A Paul, SH Park, HJ Kim, TH Oh
Nano Energy 106, 108084, 2023
Cad: Co-adapting discriminative features for improved few-shot classification
P Chikontwe, S Kim, SH Park
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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
The system can't perform the operation now. Try again later.
Articles 1–20