Publications
International Journal
"... After Inpatient Falls ..." (Under Review)
International Journal
"Dual-View BI-RADS ..." (Under Review)
International Journal
"... Probabilistic Ordinal Segmentation for ..." (Under Review)
International Journal
"... Uncertainty-Aware AI on Optical Diagnosis ..." (Under Review)
해쉬태그,해쉬태그9
International Conference
"... Benchmark Interpretation" (Under Review)
International Conference
"... Radiology Report Metrics ..." (Under Review)
International Conference
"... Reward Models ..." (Under Review)
International Conference
"... Visual Reasoning Benchmarks" (Under Review)
International Conference
"... Uncertainty Quantification ..." (Under Review)
International Conference
"... Diffusion Language Models ..." (Under Review)
International Conference
"... for Domain Generalization ..." (Under Review)
International Conference
"... Safety Regression Testing ..." (Under Review)
International Conference
"... Medical Vision-Language Models" (Under Review)
First authors*, Corresponding authors†
International Journal
10. "Exploring the Capabilities of Large Language Model Encoders for Image-Text Retrieval in Chest X-rays"
Hanbin Ko*, Rong Yang, Gihun Cho, Inhyeok Baek, Donguk Kim, Joonbeom Koo, Changi Kim, Dongheon Lee†, and Chang Min Park†, (IF: 7.7, Top 7%)
#CXR retrieval #Large language model encoder #Medical CLIP #Vision-language pretraining
9. "FairAnon: Demographically Fair Face Anonymization via Orthogonal Semantic Guidance"
Yeon Gyu Han*, Jung Im Na, Seong Hwan Kim, Sunje Kim, Seung-Han Song†, Dongheon Lee†, Information Fusion (IF: 17.4, Top 2%)
#Face anonymization #Racial fairness #Synthetic data #Diffusion models #Preference optimization #Semantic disentanglement
8. "Quantitative Assessment of Blood-Brain Barrier Permeability Using Biotechnological Imaging Analysis in Contrast-enhanced Magnetic Resonance Imaging in Post-Resuscitation Care; Stratified Association by Illness Severity"
So Young Jeon*, Dong Hyun Baek*, Jung Soo Park, Jin Hong Min, Wonjoon Jeong, Yeonho You, Dongheon Lee†, and Changshin Kang† , Resuscitation (IF: 6.0, Top 8%)
#Cardiac arrest #Blood-brain barrier #Magnetic resonance imaging #Gadolinium #Computer-assisted image analysis
7. "Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysis"
Matthew B. Webster*, Dongheon Lee*, Joonnyong Lee†, Computers in Biology and Medicine (IF: 6.3, Top 5%)
#Biosignal processing #Blind source separation #Self-supervised learning #Photoplethysmogram #Heart rate detection #Denoising
6. "SeamXSim: Seamless-textured virtual colonoscopy simulator via unpaired long-term video translation"
Seunghyun Jang*, Dongheon Lee*, Yisak Kim*, Gihun Cho, Kwang Woo Kim, Sihyun Kim, Jong Pil Im, Byeong Gwan Kim, Chang Min Park†, Computers in Biology and Medicine (IF: 6.3, Top 5%)
#Virtual colonoscopy simulator #Seamless texture synthesis #Unpaired video translation
5. "ColonOOD: A complete pipeline for optical diagnosis of colorectal polyps integrating out-of-distribution detection and uncertainty quantification"
Sehyun Park*, Dongheon Lee*, Ji Young Lee, Jaeyoung Chun, Ji Young Chang, Eunsu Baek, Eun Hyo Jin, Hyung-Sin Kim†, Expert Systems with Applications (IF: 9.4, Top 7%)
#Colonoscopy Computer-aided diagnosis (CAD) #Colorectal polyp classification #Out-of-distribution detection #Uncertainty quantification
International Journal
4. "External Testing of a Deep Learning Model for Estimating Biological Age Using Chest Radiographs"
Jong Hyuk Lee*, Dongheon Lee*, Michael T. Lu, Vineet K. Raghu, Jin Mo Goo, Yunhee Choi, Seung Ho Choi†, and Hyungjin Kim†, Radiology: Artificial Intelligence (IF: 13.2, Top 2%)
#Conventional Radiography #Thorax #Heart #Lung Mediastinum #Outcomes Analysis #Quantification #Prognosis #Convolutional Neural Network (CNN)
International Journal
3. "Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods with Soft-label and Train-set Pruning"
Soo Ick Cho*, Dongheon Lee*, Byeol Han, Ji Su Lee, Ji Yeon Hong, Jin Ho Chung, Dong Hun Lee†, Jung-Im Na†, IEEE Journal of Biomedical and Health Informatics (IF: 7.7, Top 6%)
#Atopic dermatitis #convolutional neural networks #discordance #investigator’s global assessment #soft-label
2. "Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations"
Jong Hyuk Lee*, Dongheon Lee*, Michael T. Lu, Vineet K. Raghu, Chang Min Park, Jin Mo Goo, Seung Ho Choi†, Hyungjin Kim†, Radiology (IF: 19.7, Top 1%)
#Chest Radiograph #AI
1. "Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations"
Eun Hyo Jin*, Dongheon Lee*, Jung Ho Bae, Hae Yeon Kang, Min-Sun Kwak, Ji Yeon Seo, Jong In Yang, Sun Young Yang, Seon Hee Lim, Jeong Yoon Yim, Joo Hyun Lim, Goh Eun Chung, Su Jin Chung, Ji Min Choi, Yoo Min Han, Seung Joo Kang, Jooyoung Lee, Hee Chan Kim†, Joo Sung Kim†, Gastroenterology (IF: 22.682, Top 4%)
#Deep Learning #Colorectal Cancer #Cancer Screening #Diagnostic
International Conference
4. "DRPO: Disentangling Demographic Bias from Rewards for Fair Diffusion Alignment"
YeonGyu Han*, Junah Jung*, Dongheon Lee†, ECCV 2026
#Text-to-Image Generation #Preference Optimization #Fairness
International Conference
3. "CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation"
Junah Jung*, YeonGyu Han*, Chang Min Park†, Dongheon Lee†, ECCV 2026
#Test-time adaptation #Concept sensitivity #Spurious correlations
International Conference
2. "Ordinal Priors for Colonoscopy Temporal Segmentation"
Seunghyun Jang*, Dongheon Lee*, Yoonsung Jung, Eue Young Kim, Na Mi Shin, Jong Pil Im, Sihyun Kim, Chang Min Park†, MICCAI 2026
#Colonoscopy Temporal Segmentation #Colonoscopy Video Analysis #Ordinal Regression #Temporal Consistency
