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Sang-Hyun Park
Seoul National University
193Publications
23H-index
1,882Citations
Publications 193
Newest
Published on Jul 18, 2019in Proteomics 3.11
Nayoung Lee3
Estimated H-index: 3
(SNU: Seoul National University),
Joon Won Lee4
Estimated H-index: 4
(Kyung Hee University)
+ 2 AuthorsKwang Pyo Kim40
Estimated H-index: 40
(Kyung Hee University)
Sang-Hyun Park23
Estimated H-index: 23
,
Won Jun Choi15
Estimated H-index: 15
+ -3 AuthorsDong-Hyun Kang23
Estimated H-index: 23
Hugo J. Kuijf15
Estimated H-index: 15
,
J. Matthijs Biesbroek9
Estimated H-index: 9
+ 41 AuthorsAdrià Casamitjana2
Estimated H-index: 2
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are often still obtained from manual segmentations on brain MR images, which is a laborious procedure. Automatic WMH segmentation methods exist, but a standardized comparison of the performance of such methods is lacking. We organized a scientific challenge, in which developers could evaluate their method on a standardized ...
Published on Mar 1, 2019in Journal of Radioanalytical and Nuclear Chemistry 1.19
Jung Ae Kang5
Estimated H-index: 5
,
Jong Kook Rho2
Estimated H-index: 2
+ 0 AuthorsSang-Hyun Park23
Estimated H-index: 23
In this study, a radioisotope (RI) detection-assisted biochip was developed for the evaluation of the inhibitory effects of natural products on protein kinase C (PKC) activity. It was shown that PKC activity was inhibited by coptisine in dose-dependent manner. These findings suggest that the RI detection-assisted protein biochip should be applicable to high throughput screening for kinase inhibitors. It was found that coptisine shows inhibitory effect on PKC, and that the biochip can be used to ...
Published on Feb 1, 2019in Food Microbiology 4.09
Eun-Jeong Hong1
Estimated H-index: 1
(SNU: Seoul National University),
Sang-Hyun Park23
Estimated H-index: 23
(SNU: Seoul National University),
Dong-Hyun Kang23
Estimated H-index: 23
(SNU: Seoul National University)
Abstract The aim of this study was to inactivate Salmonella Typhimurium loaded onto alfalfa seeds with sequential treatment of hydrogen peroxide, drying, vacuum packaging, and dry heat. Also, we verified the effect of vacuum packaging in dry heat treatment. Populations of Salmonella on alfalfa seeds after sequential treatment were not detected after 8 or 3 h of dry heat treatment at 70 or 73 °C. Salmonella populations including injured cells were also reduced to below the detection limit after 8...
Published on Feb 1, 2019
Ihsan Ullah (DGIST: Daegu Gyeongbuk Institute of Science and Technology), Philip Chikontwe (DGIST: Daegu Gyeongbuk Institute of Science and Technology), Sang-Hyun Park23
Estimated H-index: 23
(DGIST: Daegu Gyeongbuk Institute of Science and Technology)
In recent years, research has been carried out using a micro-robot catheter instead of classic cardiac surgery performed using a catheter. To accurately control the micro-robot catheter, accurate and decisive tracking of the guidewire tip is required. In this paper, we propose a method based on the deep convolutional neural network (CNN) to track the guidewire tip. To extract a very small tip region from a large image in video sequences, we first segment small tip candidates using a segmentation...
Published on Jan 1, 2019in IEEE Access 4.10
Euijin Jung1
Estimated H-index: 1
(DGIST: Daegu Gyeongbuk Institute of Science and Technology),
Philip Chikontwe (DGIST: Daegu Gyeongbuk Institute of Science and Technology)+ 3 AuthorsSang-Hyun Park23
Estimated H-index: 23
(DGIST: Daegu Gyeongbuk Institute of Science and Technology)
Perivascular spaces (PVS) in the human brain are related to various brain diseases. However, it is difficult to quantify them due to their thin and blurry appearance. In this paper, we introduce a deep-learning-based method, which can enhance a magnetic resonance (MR) image to better visualize the PVS. To accurately predict the enhanced image, we propose a very deep 3D convolutional neural network that contains densely connected networks with skip connections. The proposed networks can utilize r...
Published on Jan 1, 2019in IEEE Transactions on Medical Imaging 7.82
Hugo J. Kuijf15
Estimated H-index: 15
,
J. Matthijs Biesbroek9
Estimated H-index: 9
+ 41 AuthorsAdrià Casamitjana2
Estimated H-index: 2
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are often still obtained from manual segmentations on brain MR images, which is a laborious procedure. Automatic WMH segmentation methods exist, but a standardized comparison of the performance of such methods is lacking. We organized a scientific challenge, in which developers could evaluate their method on a standardized ...
Published on Dec 1, 2018in Scientific Reports 4.01
Sang-Hyun Park23
Estimated H-index: 23
(DGIST: Daegu Gyeongbuk Institute of Science and Technology),
Yong Zhang10
Estimated H-index: 10
+ 5 AuthorsKilian M. Pohl21
Estimated H-index: 21
(SRI: SRI International)
Group analysis of brain magnetic resonance imaging (MRI) metrics frequently employs generalized additive models (GAM) to remove contributions of confounding factors before identifying cohort specific characteristics. For example, the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) used such an approach to identify effects of alcohol misuse on the developing brain. Here, we hypothesized that considering confounding factors before group analysis removes information rele...
Published on Nov 30, 2018
Do Young Kim47
Estimated H-index: 47
,
Won Gi Choi1
Estimated H-index: 1
+ 2 AuthorsPark Sang-Hyun31
Estimated H-index: 31
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