In writing
In writing
Review paper
Review paper
Imaging Bone Biomarker
Journal Article
22. Lee Y†, Lee MR†, Hong SK, R. K. Surowiec*, J. Kang*,
“Echocardiographic Radiomic Features of the Left Ventricular Myocardium Differ Across Hepatic Steatosis Subtypes”
Under Review (2026)
21. Lee Y, D. Deiwert, O. Guith, A. Walker, C. Newman, S. Hong, M. Lee, M. Hubal, R. K. Surowiec*,
“nnU-Net-Based Multi-Class Muscle Segmentation in Multi-Institutional MRI: Challenges in Tissue Delineation and Cross-Site Generalization”
In Revision (2026)
20. Lee Y, S. Hong, M. Lee, C. Seo, S. Park, K. J. Lim, S. M. Moe, J. Warden, R. K. Surowiec*,
“Radiomics Identifies Distinct Cortical Bone Texture Alterations in Patients with CKD Using HR-pQCT"
Nature Bone Research (2026) IF:20
19. Lee Y, Bandara WR, Hong SK, Jain S, Chin C, Kasumarthi N, Warden SJ, Surowiec RK*,
“Radiomics Reveals Mineral, Collagen, and Water Contributions to Bone Texture”
In Revision (2026)
18. Lee Y†, Lee MR†, R. K. Surowiec*, J. Kang*.
“Radiomics-Based Carotid Ultrasound Identifies Patterns Associated with Severe Coronary Calcification in the Absence of Carotid Plaque”
Journal of Ultrasound in Medicine (2026)
17. Lee. Y†, S. Hong†, J. Jeong, C. H. Lee*, R. Surowiec*,
“A Sensor-to-Algorithm Framework for Respiration Monitoring: Stretchable Strain Sensors Coupled with Machine Learning Feature Optimization”
Advanced Sensor Research, Front Cover (2026)
16. S. Hong† T. Park†, Y. Lee†, J. C. Mesa, T. Yu, Y. Ji, J. Lee, J. Jeong, S. Kang, D. R. Kim, Y. L. Kim, H. Lee, R. Surowiec*, L. D. Santos*, C. H. Lee*,
“Smart Garment for Continuous Respiration Monitoring in Canines”
ACS Sensors (2026)
15. Lee Y, Wong AKO, Hong S, Dillman D, Lim KJ, Moe SM, Warden SJ, Surowiec RK. “Radiomics and Machine
Learning for Characterizing CKD-Associated Cortical Bone Texture Patterns in HR-pQCT Tibia Scans: A Slice- and Patient-Level Methodological Framework”
Journal of Bone and Mineral Research Plus (JBMRPlus) (2026)
14. S. Hong, J. Mesa, Z. Niu, B. Xia, X. Liu, Q. Cheng, S. Park, J. Marrone, Y. Lee, A. Hudson, C. H. Lee, H. Lee, Y. Kim, T. Li,
“MycoTronics: Self-assembled bilayer mycelium hydrogel substrates for wearable electronics”
Submitted (2026)
13. S. Hong, X. Liu, B. Xia, Z. Niu, Y. Tian, P. Deng, J. C. Mesa, J. P. Marrone, S. Park, Y. Lee, C. H. Lee, H. Lee, Y. Kim, T. Li*,
“Biologically-assembled dual-layer mycelium hydrogel films for wearable sensing”
Submitted (2026)
12. S. Hong, J. Lee, T. Park, J. Jeong, H. Joo, J. C. Mesa, C. B. Alston, Y. Ji, J. Yi, Y. Lee, K. Won, L. Solorio, Y. L. Kim, H. Lee, D. R. Kim*, C. H. Lee*,
“Thermal Conductivity Enhancement in Tough and Environmentally Resilient Hydrogels”
Advanced Materials Interfaces e00752 (2025)
11. S. Hong, J. Lee, T. Park, J. Jeong, J. Lee, H. Joo, J. C. Mesa, C. B. Alston, Y. Ji, S. Ruiz, C. Barinaga, J. Yi, Y. Lee, J. Kim, K. Won, Y. L. Kim, L. Solorio, H. Lee, D. R. Kim*, C. H. Lee*,
“Spider silk-inspired conductive hydrogel for enhanced toughness and environmental resilience via dense hierarchical structuring”
Advanced Science 12 (12), 2500397. (2025)
9. Lee Y, Surowiec RK.
“Radiomic Texture Features Reveal Experimental Collagen and Water Loss in Cortical Bone”
Journal of Bone and Mineral Research (2025)
8. Lee Y, Bandara WR, Park S, Lee M, Seo C, Yang S, Lim KJ, Moe SM, Warden SJ, Surowiec RK.
"Integrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study."
Bone Reports. Dec 26;24:101821 (2025).
7. Lee Y, & Surowiec, R. K. “Improving Early Chronic Kidney Disease Screening Using Machine Learning Classifiers and Textural Radiomics applied to HRpQCT Tibia Scans”
Journal of Bone and Mineral Research. Vol. 39 (pp. 14) (2024).
6. Lee Y, Park, M., Park, S., Warden, S., & Surowiec, R.
“Automated Segmentation Scheme to Evaluate CKD Patient Bone HR-pQCT images using a Trained Deep Learning Model”
Journal of Bone and Mineral Research. Vol. 38 (pp. 92) (2023).
5. Lee Y, Min J.W.
“Analysis on Optimal Approach of Blind Deconvolution Algorithm in Chest CT Imaging"
Journal of Radiological Science and Technology. vol.45, no.2 pp.145-150 (2023).
4. Lee Y, Kim SC, KIM SC, Back KM, Yoon YS, Lee JW, Lim CH, Jeong SH, Jeong HW, Joe PK, Hong DH.
“The Method of Evaluating Digital Medical Image”
Daehak-Seorim Books (2022).
3. Lee Y, Min J.W.
“Comparison of Based on Histogram Equalization Techniques by Using Normalization in Thoracic Computed Tomography.”
Journal of Radiological Science and Technology. vol. 44, no.5 pp. 473–480 (2022).
2. Lee Y, Kim YK, Park JH, Hwang BJ.
“A Study on Patient Dose Reduction according to Change of SPR Direction in Thoracic CT Examination”
Korean Society of Computed Tomographic Technology (2020).
1. Lee Y, “Measurement of Noise Power Spectrum by Using Electronic Portal Imaging Devices in Radiation Therapy”
Shingu University Academic Journal (2016).
Conference Posters
11. Stage-Progressive Radiomic Texture Changes in Cortical Bone Across CKD Severity: An HR-pQCT Study
Youngjun Lee, et al. Jaseng Academic International Conference 2026
10. From Artificial Intelligence to Biological Interpretability: Radiomic Characterization of CKD-Related Cortical Bone Texture
Youngjun Lee, et al. Purdue One Health 2026 Conference
8. BUILDING BETTER MUSCLE: STRENGTH, SIZE, AND THE SCIENCE BEHIND MUSCLE QUALITY
Dakota Deiwert, Youngjun Lee, et al. College of Sports Medicine Annual Meeting 2025 Conference
7. Influence of Mineral, Collagen, and Water Content on Bone Texture: An Ex vivo Radiomics Study
Youngjun Lee, et al. ASBMR 2025 Conference
6. Improving Chronic Kidney Disease Classification with Transfer Learning-Based Image Feature Extraction from HRpQCT Scans Using Machine Learning Classifiers
Youngjun Lee, et al. Purdue BME 2024 and ASBMR 2024 Conference - Plenary Session
5. Automated Segmentation Scheme to Evaluate CKD Patient Bone HRpQCT Images Using a Trained Deep Learning Model
Youngjun Lee, et al. ASBMR 2023 Conference
4. Deep Learning-Based Scan Range Demarcation from Single and Multi-region Scout Scan in Chest CT
Lee Young Jun, Lee Whal, Park Eun A, Nam Ju Gang
Radiological Society of North America, Radiology, 2022 (Under review).
3. Analysis on Optimal Approach of Blind Deconvolution Algorithm in Chest CT Imaging
Youngjun Lee, et al.
Korea Journal of Radiological Science and Technology, 2022.
2. Comparison of Based on Histogram Equalization Techniques by Using Normalization in Thoracic Computed Tomography
Youngjun Lee, et al.
Korea Journal of Radiological Science and Technology, 2022.
1. A Study on the Patient Dose Reduction according to Change of SPR Direction in Thoracic CT Examination Youngjun Lee, et al.
Korean Society of Computed Tomographic Technology, 2020.