Publications

Intl. Journal
"Open-Source AI for Risk Stratification of Respiratory Disease Mortality in an Asian Health Checkup Population: A Longitudinal Analysis" (Under Review)
Jong Hyuk Lee, Seung Ho Choi, Hugo Aerts, Jakob Weiss, Vineet Raghu, Michael Lu, Jayoun Kim, Seungho Lee, Dongheon Lee, Hyungjin Kim*
Intl. Journal
"Enhancing Diagnostic Confidence and Accuracy in the Optical Diagnosis of Colorectal Polyps using an Uncertainty-aware Vision Transformer" (Under Review)
Youngwan Lee, Sangrok Lee, Eun Hyo Jin*, Dongheon Lee*, Ji Young Lee, Jaeyoung Chun, Ji Young Chang, Hae Yeon Kang, Sun Young Yang, Seon Hee Lim, Goh Eun Chung, Su Jin Chung, Ji Min Choi, and Yoo Min Han
Intl. Journal
"Texture-enhanced low dose CT image denoising using Pearson divergence" (Under Review)
Jieun Oh*, Dufan Wu, Boohwi Hong, Dongheon Lee, Minwoong Kang, Quanzheng Li and Kyungsang Kim*
Intl. Journal
"External Validation of Deep Learning-derived Chest Radiographic Age: A Retrospective, Single-center Study" (Under Review)
Jong Hyuk Lee*, Dongheon Lee*, Michael T. Lu, Vineet K. Raghu, Jin Mo Goo, Yunhee Choi, Seung Ho Choi*, and Hyungjin Kim*
Intl. Journal
"Few-shot Quantification of Left Ventricular Chamber in the Standard Echocardiogram via Model-agnostic Meta Learning" (Under Review)
Yeong Hyeon Kim*, Donghoon Kim, Jin Young Youm, Jiyoon Won, Seola Kim, Woohyun Park , Yisak Kim, Dongheon Lee*
Intl. Conference
"Enhancement of Segmentation for Small Brain Metastasis Regions in T1-Weighted MRIs Using Self-Supervised Learning" (Under Review)

Jong Tak Baek
, Jin Ok Lee, Kyung Hwan, Kim, Dongheon Lee

Co-first / Co-corresponding authors*

Intl. Journal
"The First Challenge on Low-dose Computed Tomography Perceptual Image Quality Assessment"
Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shid, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott Hsiehl, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi,∗
Medical Image Analysis (Impact Factor: 10.9), MICCAI Grand Challenge LDCTIQAC 2023 (Final Ranking: 4th)
Intl. Journal
"Essential Elements of Physical Fitness Analysis in Adolescent Athletes using Machine Learning"
Yun-Hwan Lee*, Ji-Eun Lee, Yeon-Sung Jung, Ji Suk Jang, Dongheon Lee*, and Ho-Seong Lee*
PLoS One (Impact Factor: 3.7)
Intl. Conference
"Comparing the Performance of Task-Specific and Foundation Models for Automated Trachea Segmentation"

Hyeondong Choi
, Donghyeon Baek, Jongtak Baek, Jieun Oh, Jihye Heo, Minwoong Kang, Kyungsang Kim, Dongheon Lee
EMBC, 2024
Intl. Conference
"Comparing the Performance of Task-Specific and Foundation Models for Depth Estimation in Bronchoscopy"

Taemin Choi
, Yeongyu Han, Hyunjeong Ki, Seyoung Ku, Saengmyung Hyun, Minwoong Kang, Kyungsang Kim, Dongheon Lee
EMBC, 2024
Intl. Conference
"Markerless 3D human pose estimation for analyzing lower limb muscle force during deep squat"
Yun-Hwan Lee, Dongheon Lee, Ho-Seong Lee, European College of Sport Science (ECSS) 2024
European College of Sport Science (ECSS), 2024
Patent
"가상 내시경 시뮬레이터를 위한 점막 텍스쳐 생성 장치 및 방법"
박창민, 김이삭, 이동헌, 장승현
특허출원 KR 10-2024-02135