Publications by authors named "Junegoo Lee"

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4D flow MRI of aortic blood flow parameters in healthy volunteers: Sex- and age-specific analysis.
Gyu-Han Lee, Hojin Ha, Kyung Jin Park, Hyun Jung Koo, June-Goo Lee, Hyun Seo Lee, Jong Eun Lee

Magn Reson Imaging· November 2025

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Diffusion-based image translation model from low-dose chest CT to calcium scoring CT with random point sampling.
Ji-Hoon Jung, Jong Eun Lee, Hyun Seo Lee, Dong Hyun Yang, June-Goo Lee

Comput Biol Med· August 2025

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Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning.
June-Goo Lee, Tae Joon Jun, Gyujun Jeong, Hongmin Oh, Sijoon Kim, Jung Bok Lee, Jong Eun Lee, Sang Min Lee

JACC Adv· May 2025

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Medication versus globus pallidus internus deep brain stimulation in Parkinson's disease with deep learning video analysis of finger tapping.
Grace Yoojin Lee, Hee Yeon Kwon, Kanggil Park, Sungyang Jo, Jihyun Lee, Sangjin Lee, June-Goo Lee

Sci Rep· May 2025

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Can AI-Based Video Analysis Help Evaluate the Performance of the Items in the Bayley Scales of Infant Development?
Dong Hyun Ye, Tae Won Kim, Su Min Kim, Ji Won Seo, Jongyoon Chang, June-Goo Lee

Children (Basel)· February 2025

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Deep Learning Based Automatic Segmentation of the Thoracic Aorta from Chest Computed Tomography in Healthy Korean Adults.
Hyun Jung Koo, June-Goo Lee, Jung-Bok Lee, Joon-Won Kang, Dong Hyun Yang

Eur J Vasc Endovasc Surg· January 2025

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Clinical impact of deep learning-derived intravascular ultrasound characteristics in patients with deferred coronary artery.
Sungsoo Cho, Hyungjoo Cho, Hyunseok Min, June-Goo Lee, Tae Oh Kim, Pil Hyung Lee, Seung-Whan Lee

Int J Cardiol· December 2024

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Prognostic significance of right atrial volume and interval changes in patients with idiopathic pulmonary arterial hypertension.
Han Na Lee, Ho Cheol Kim, Jung Bok Lee, Jae Seung Lee, Dae-Hee Kim, June-Goo Lee

Respir Med· December 2024

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Deep learning model for intravascular ultrasound image segmentation with temporal consistency.
Hyeonmin Kim, June-Goo Lee, Gyu-Jun Jeong, Geunyoung Lee, Hyunseok Min, Seung-Whan Lee

Int J Cardiovasc Imaging· November 2024

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Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiology.
Seong Ho Park, Kyunghwa Han, June-Goo Lee

Radiol Med· November 2024

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Automatic identification of coronary stent in coronary calcium scoring CT using deep learning.
Yura Ahn, Gyu-Jun Jeong, Dabee Lee, Cherry Kim, June-Goo Lee

Sci Rep· October 2024

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2023 Survey on User Experience of Artificial Intelligence Software in Radiology by the Korean Society of Radiology.
Eui Jin Hwang, Ji Eun Park, Kyoung Doo Song, Dong Hyun Yang, Kyung Won Kim, June-Goo Lee

Korean J Radiol· July 2024

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ZOZI-Seg: A transformer and UNet cascade network with Zoom-Out and Zoom-In scheme for aortic dissection segmentation in enhanced CT images.
Ji-Hoon Jung, Hong Min Oh, Gyu-Jun Jeong, Tae-Won Kim, Hyun Jung Koo, June-Goo Lee

Comput Biol Med· June 2024

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Deep Learning-Based Lumen and Vessel Segmentation of Intravascular Ultrasound Images in Coronary Artery Disease.
Gyu-Jun Jeong, Gaeun Lee, June-Goo Lee, Soo-Jin Kang

Korean Circ J· January 2024

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Radiologist's Guide to Evaluating Publications of Clinical Research on AI: How We Do It.
Seong Ho Park, Ah-Ram Sul, Yousun Ko, Hye Young Jang, June-Goo Lee

Radiology· September 2023

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Mitochondrial structure and function adaptation in residual triple negative breast cancer cells surviving chemotherapy treatment.
Mokryun L Baek, Junegoo Lee, Katherine E Pendleton, Mariah J Berner, Emily B Goff

Oncogene· March 2023

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Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT.
Young Joo Suh, Cherry Kim, June-Goo Lee, Hongmin Oh, Heejun Kang

Eur Radiol· February 2023

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Methods for Clinical Evaluation of Artificial Intelligence Algorithms for Medical Diagnosis.
Seong Ho Park, Kyunghwa Han, Hye Young Jang, Ji Eun Park, June-Goo Lee

Radiology· January 2023

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A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation.
Cherry Kim, Gaeun Lee, Hongmin Oh, Gyujun Jeong, Sun Won Kim, June-Goo Lee

Eur Radiol· March 2022

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Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts.
June-Goo Lee, HeeSoo Kim, Heejun Kang, Hyun Jung Koo, Joon-Won Kang

Korean J Radiol· November 2021

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Impact of coronary calcium score and lesion characteristics on the diagnostic performance of machine-learning-based computed tomography-derived fractional flow reserve.
Hyun Jung Koo, Joon-Won Kang, Soo-Jin Kang, Jihoon Kweon, June-Goo Lee, Seung Whan Lee, Cheol Whan Lee

Eur Heart J Cardiovasc Imaging· August 2021

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CycleMorph: Cycle consistent unsupervised deformable image registration.
Boah Kim, Dong Hwan Kim, Seong Ho Park, Jieun Kim, June-Goo Lee

Med Image Anal· July 2021

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A Portable Smartphone-Based Laryngoscope System for High-Speed Vocal Cord Imaging of Patients With Throat Disorders: Instrument Validation Study.
Youngkyu Kim, Jeongmin Oh, Seung-Ho Choi, Ahra Jung, June-Goo Lee, Yoon Se Lee

JMIR Mhealth Uhealth· June 2021

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Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease.
Hyungjoo Cho, Soo-Jin Kang, Hyun-Seok Min, June-Goo Lee, Won-Jang Kim, Pil Hyung Lee, Seung-Whan Lee, Cheol Whan Lee

Atherosclerosis· May 2021

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Prediction of Coronary Stent Underexpansion by Pre-Procedural Intravascular Ultrasound-Based Deep Learning.
Hyun-Seok Min, Dongmin Ryu, Soo-Jin Kang, June-Goo Lee, Ji Hyeong Yoo, Pil Hyung Lee, Seung-Whan Lee, Cheol Whan Lee

JACC Cardiovasc Interv· May 2021

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