Jaewon Yang

Chungnam National University — South Korea

Medicine · Health Sciences

20h-index4.8kcitations74works0.52yr avg
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Research Topics

Medical Imaging Techniques and Applications(45), Advanced MRI Techniques and Applications(19), Advanced Radiotherapy Techniques(16), Radiomics and Machine Learning in Medical Imaging(16), Advanced X-ray and CT Imaging(13)

Publications72 total

Complex Lymphatic Anomalies: A Comprehensive Review of Imaging Features and Diagnostic Considerations
Seminars in Roentgenology·2025Open Access
Automated quantification of brain PET in PET/CT using deep learning-based CT-to-MR translation: a feasibility study
European Journal of Nuclear Medicine and Molecular Imaging·2025· 1 cited
Score-based-diffusion-model-based synthetic CT generation from MR images and post-hoc uncertainty analysis
2025
Unpaired Shadow Removal: Enhancing Attention to Shadow Areas via Dropkey
2025
Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs
Magnetic Resonance Materials in Physics Biology and Medicine·2024· 1 cited
Advanced pattern defect detection and analysis with artificial intelligence
2024· 1 cited
Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling
arXiv (Cornell University)·2023· 1 citedOpen Access
AI applications for quantitative and qualitative PET in PET/MR—where do we stand?
European Radiology·2023· 1 cited
Comparison and calibration of dose delivered by <sup>137</sup>Cs and x-ray irradiators in mice
Physics in Medicine and Biology·2022· 3 citedOpen Access
Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study
Scientific Reports·2022· 8 citedOpen Access
Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study
IEEE Transactions on Radiation and Plasma Medical Sciences·2021· 5 citedOpen Access
PET Denoising and Uncertainty Estimation Based on NVAE Model
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)·2021· 2 cited
Evaluation of a variable‐aperture full‐ring SPECT system using large‐area pixelated CZT modules: A simulation study for brain SPECT applications
Medical Physics·2021· 9 citedOpen Access
Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study
Journal of Nuclear Medicine·2021· 57 citedOpen Access
Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging
2021· 16 citedOpen Access
CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls
Radiology Artificial Intelligence·2020· 50 citedOpen Access
MR-Based Attenuation Correction for Brain PET Using 3-D Cycle-Consistent Adversarial Network
IEEE Transactions on Radiation and Plasma Medical Sciences·2020· 37 citedOpen Access
CT-Less Attenuation Correction in Image Space Using Deep Learningfor Dedicated Cardiac SPECT: A Feasibility Study
2020· 1 cited
Development of AI-based Prediction and Assessment Program for Tunnelling Impact
2019
Table of content
2019Open Access
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Frequent Co-authors

Youngho Seo(28), Thomas A. Hope(9), Quanzheng Li(8), Peder E. Z. Larson(8), Jure Leskovec(7), Kyungsang Kim(7), Spencer C. Behr(7), Kuang Gong(6), Georges El Fakhri(6), G.T. Gullberg(6), Tokihiro Yamamoto(6), Edward E. Graves(6), Florian Wiesinger(5), Paul Keall(5), Sandeep Kaushik(4), Dattesh Shanbhag(4), Luyao Shi(4), Chi Liu(4), Sharmila Majumdar(3), Rui Wang(3)