Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jiheon Jeong

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Computers in Biology and Medicine|December 6, 2022
Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategiesJiheon Jeong, Ki Duk Kim, Yujin Nam, et al.
Scientific Reports|October 18, 2023
Screening obstructive sleep apnea patients via deep learning of knowledge distillation in the lateral cephalogramMin-Jung Kim, Jiheon Jeong, Jung-Wook Lee, et al.
Journal of Imaging Informatics in Medicine|February 21, 2024
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest RadiographyKyungjin Cho, Ki Duk Kim, Jiheon Jeong, et al.
Neuro-Oncology|January 22, 2024
Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation predictionHye Hyeon Moon, Jiheon Jeong, Ji Eun Park, et al.
Journal of Digital Imaging|January 26, 2023
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive LearningKyungjin Cho, Ki Duk Kim, Yujin Nam, 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 LearningGil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Computer Methods and Programs in Biomedicine|October 19, 2023
Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasetsIn-Hwan Kim, Jun-Sik Kim, Jiheon Jeong, et al.
Nature Communications|March 17, 2025
Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion modelsIn-Hwan Kim, Jiheon Jeong, Jun-Sik Kim, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Computers in Biology and Medicine|December 6, 2022
Stain normalization using score-based diffusion model through stain separation and overlapped moving window patch strategiesJiheon Jeong, Ki Duk Kim, Yujin Nam, et al.
Scientific Reports|October 18, 2023
Screening obstructive sleep apnea patients via deep learning of knowledge distillation in the lateral cephalogramMin-Jung Kim, Jiheon Jeong, Jung-Wook Lee, et al.
Journal of Imaging Informatics in Medicine|February 21, 2024
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest RadiographyKyungjin Cho, Ki Duk Kim, Jiheon Jeong, et al.
Neuro-Oncology|January 22, 2024
Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation predictionHye Hyeon Moon, Jiheon Jeong, Ji Eun Park, et al.
Journal of Digital Imaging|January 26, 2023
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive LearningKyungjin Cho, Ki Duk Kim, Yujin Nam, 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 LearningGil-Sun Hong, Miso Jang, Sunggu Kyung, et al.
Computer Methods and Programs in Biomedicine|October 19, 2023
Orthognathic surgical planning using graph CNN with dual embedding module: External validations with multi-hospital datasetsIn-Hwan Kim, Jun-Sik Kim, Jiheon Jeong, et al.
Nature Communications|March 17, 2025
Predicting orthognathic surgery results as postoperative lateral cephalograms using graph neural networks and diffusion modelsIn-Hwan Kim, Jiheon Jeong, Jun-Sik Kim, et al.
Pageof 1