Concepedia
Statistics
Publications
25
Citations
753
H-Index
14
Active since
2016
Affiliations
Asan Medical Center(Current)
Ulsan College
University of Ulsan
Korea Advanced Institute of Science and Technology
Korea University
Tae Joon Jun is an author at Asan Medical Center specializing in engineering, deep learning, and machine learning.
Top concepts
EngineeringDeep LearningMachine LearningComputer ScienceImage AnalysisComputer VisionMedical Image ComputingData ScienceMachine VisionPattern Recognition
Publications per year
2016–2024
ECG arrhythmia classification using a 2-D convolutional neural network
Tae Joon Jun, Hoang M. Nguyen, Daeyoun Kang et al. · arXiv (Cornell University) · 2018 · 205 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +17
T-Net: Nested encoder–decoder architecture for the main vessel segmentation in coronary angiography
Tae Joon Jun, Jihoon Kweon, Young‐Hak Kim et al. · Neural Networks · 2020 · 73 citations · Full text
Coronary Angiography, Image Analysis, Engineering +15
Premature Ventricular Contraction Beat Detection with Deep Neural Networks
Tae Joon Jun, Hyun Ji Park, Minh H. Nguyen et al. · 2016 · 54 citations
Convolutional Neural Network, Deep Neural Networks, Engineering +15
Automated detection of vulnerable plaque in intravascular ultrasound images
Tae Joon Jun, Soo-Jin Kang, June‐Goo Lee et al. · Medical & Biological Engineering & Computing · 2018 · 46 citations · Full text
Medical Ultrasound, Engineering, Health Sciences +11
xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias
Jungsun Yoo, Tae Joon Jun, Young‐Hak Kim · Computer Methods and Programs in Biomedicine · 2021 · 40 citations
Electrophysiological Evaluation, Convolutional Neural Network, Engineering +9
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