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Biomedical Engineering Letters
|
January 26, 2026
Generative AI for developing foundation models in radiology and imaging: engineering perspectives
June-Goo Lee, Sunggu Kyung, Namkug Kim
Computer Methods and Programs in Biomedicine
|
January 15, 2022
Bone suppression on pediatric chest radiographs via a deep learning-based cascade model
Kyungjin Cho, Jiyeon Seo, Sunggu Kyung, et al.
Scientific Reports
|
March 30, 2024
Supervised representation learning based on various levels of pediatric radiographic views for transfer learning
Sunggu Kyung, Miso Jang, Seungju Park, et al.
IEEE Transactions on Medical Imaging
|
August 26, 2024
Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising
Sunggu Kyung, Jongjun Won, Seongyong Pak, et al.
Journal of Digital Imaging
|
June 2, 2023
Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays
Ki Duk Kim, Sunggu Kyung, Miso Jang, et al.
Korean Journal of Radiology
|
February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals
Kiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
Medical Image Analysis
|
August 8, 2022
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
Sunggu Kyung, Keewon Shin, Hyunsu Jeong, et al.
Korean Journal of Radiology
|
September 19, 2023
Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
Gil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Korean Journal of Radiology
|
September 28, 2025
Multimodal Large Language Models in Medical Imaging: Current State and Future Directions
Yoojin Nam, Dong Yeong Kim, Sunggu Kyung, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Biomedical Engineering Letters
|
January 26, 2026
Generative AI for developing foundation models in radiology and imaging: engineering perspectives
June-Goo Lee, Sunggu Kyung, Namkug Kim
Computer Methods and Programs in Biomedicine
|
January 15, 2022
Bone suppression on pediatric chest radiographs via a deep learning-based cascade model
Kyungjin Cho, Jiyeon Seo, Sunggu Kyung, et al.
Scientific Reports
|
March 30, 2024
Supervised representation learning based on various levels of pediatric radiographic views for transfer learning
Sunggu Kyung, Miso Jang, Seungju Park, et al.
IEEE Transactions on Medical Imaging
|
August 26, 2024
Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising
Sunggu Kyung, Jongjun Won, Seongyong Pak, et al.
Journal of Digital Imaging
|
June 2, 2023
Enhancement of Non-Linear Deep Learning Model by Adjusting Confounding Variables for Bone Age Estimation in Pediatric Hand X-rays
Ki Duk Kim, Sunggu Kyung, Miso Jang, et al.
Korean Journal of Radiology
|
February 27, 2024
Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals
Kiduk Kim, Kyungjin Cho, Ryoungwoo Jang, et al.
Medical Image Analysis
|
August 8, 2022
Improved performance and robustness of multi-task representation learning with consistency loss between pretexts for intracranial hemorrhage identification in head CT
Sunggu Kyung, Keewon Shin, Hyunsu Jeong, et al.
Korean Journal of Radiology
|
September 19, 2023
Overcoming the Challenges in the Development and Implementation of Artificial Intelligence in Radiology: A Comprehensive Review of Solutions Beyond Supervised Learning
Gil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Korean Journal of Radiology
|
September 28, 2025
Multimodal Large Language Models in Medical Imaging: Current State and Future Directions
Yoojin Nam, Dong Yeong Kim, Sunggu Kyung, et al.
Page
of 1