Jihye Yun - Concepedia

Author

Jihye Yun

Asan Medical Center ORCID

Also Known As

Hyang-Ah Park, J. Yun, J.K. Yun, Ji-Hye Yun, Ji-hye Yun, JiHye Yun, Jihye Yun, Yong-Keum Choi, Yun, Jihye

Publications

1.8K

Citations

H-Index

Concepts

All Affiliations

Asan Medical Center University of Ulsan Ulsan College Seoul National University Hospital Korea University Medical Center

About

Jihye Yun is an author at Asan Medical Center specializing in radiology, medical image computing, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	607
2	Health Sciences	4	4	593
3	Medicine	3	3	92
4	Public Health	1	1	11
5	Biostatistics	1	1	11

Jihye Yun

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
Deep Learning in Medical Imaging Mingyu Kim, Jihye Yun, Yongwon Cho, Neurospine Convolutional Neural NetworkEngineeringMachine LearningDiagnostic ImagingImage Analysis	2019	325
Federated learning enables big data for rare cancer boundary detection Sarthak Pati, Ujjwal Baid, Brandon Edwards, Nature Communications	2022	306
Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT Jooae Choe, Hye Jeon Hwang, Joon Beom Seo, Radiology	2021	131
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma Jihye Yun, Ji Eun Park, Hyunna Lee, Scientific Reports	2019	127
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net Jihye Yun, Jinkon Park, Donghoon Yu, Medical Image Analysis Computed TomographyImage AnalysisEngineeringMedical ImagingMedical Image Computing	2018	121
Fully Automated Lung Lobe Segmentation in Volumetric Chest CT with 3D U-Net: Validation with Intra- and Extra-Datasets Jongha Park, Jihye Yun, Namkug Kim, Journal of Digital Imaging Computed TomographyImage AnalysisEngineeringMedical ImagingDeep Learning	2019	112
Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status Chong Hyun Suh, Kyung Hwa Lee, Young Jun Choi, Scientific Reports	2020	60
Comparison of the pharmacokinetics and safety of three formulations of infliximab (CT-P13, EU-approved reference infliximab and the US-licensed reference infliximab) in healthy subjects: a randomized, double-blind, three-arm, parallel-group, single-dose, Phase I study Won Park, Sang Joon Lee, Jihye Yun, Expert Review of Clinical Immunology	2015	49
Development of machine learning-based clinical decision support system for hepatocellular carcinoma Gwang Hyeon Choi, Jihye Yun, Jonggi Choi, Scientific Reports	2020	42
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma Ji Eun Park, Sungwon Ham, Ho Sung Kim, European Radiology EngineeringGliomaDiagnostic ImagingNeuro-oncologyNeurology	2020	38

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