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

Chang Min Hyun

Showing results (1-10 of 9) with videos related to

Pageof 1
Sort By:
Computer Methods and Programs in Biomedicine|February 23, 2024
Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoringChang Min Hyun, Tae-Geun Kim, Kyounghun Lee
Medical Physics|May 18, 2022
A fidelity-embedded learning for metal artifact reduction in dental CBCTHyoung Suk Park, Jin Keun Seo, Chang Min Hyun, et al.
Physics in Medicine and Biology|May 23, 2018
Deep learning for undersampled MRI reconstructionChang Min Hyun, Hwa Pyung Kim, Sung Min Lee, et al.
Medical Image Analysis|January 31, 2021
Deep learning-based solvability of underdetermined inverse problems in medical imagingChang Min Hyun, Seong Hyeon Baek, Mingyu Lee, et al.
Plos One|September 28, 2022
A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomographyHye Sun Yun, Chang Min Hyun, Seong Hyeon Baek, et al.
Physics in Medicine and Biology|August 9, 2022
Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scanChang Min Hyun, Taigyntuya Bayaraa, Hye Sun Yun, et al.
Medical Image Analysis|January 30, 2021
Automated ultrasound assessment of amniotic fluid index using deep learningHyun Cheol Cho, Siyu Sun, Chang Min Hyun, et al.
Medical Image Analysis|February 1, 2024
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identificationTae Jun Jang, Hye Sun Yun, Chang Min Hyun, et al.
Journal of Dentistry|February 14, 2026
Facial Surface Tracing Approach to Reduce the Observation Errors in 3D Curvilinear Landmark Annotations on Cone-Beam Computed Tomography ImagesUtkarsh Mangal, Hyeonseok Jinn, Chang Min Hyun, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Computer Methods and Programs in Biomedicine|February 23, 2024
Unsupervised sequence-to-sequence learning for automatic signal quality assessment in multi-channel electrical impedance-based hemodynamic monitoringChang Min Hyun, Tae-Geun Kim, Kyounghun Lee
Medical Physics|May 18, 2022
A fidelity-embedded learning for metal artifact reduction in dental CBCTHyoung Suk Park, Jin Keun Seo, Chang Min Hyun, et al.
Physics in Medicine and Biology|May 23, 2018
Deep learning for undersampled MRI reconstructionChang Min Hyun, Hwa Pyung Kim, Sung Min Lee, et al.
Medical Image Analysis|January 31, 2021
Deep learning-based solvability of underdetermined inverse problems in medical imagingChang Min Hyun, Seong Hyeon Baek, Mingyu Lee, et al.
Plos One|September 28, 2022
A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomographyHye Sun Yun, Chang Min Hyun, Seong Hyeon Baek, et al.
Physics in Medicine and Biology|August 9, 2022
Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scanChang Min Hyun, Taigyntuya Bayaraa, Hye Sun Yun, et al.
Medical Image Analysis|January 30, 2021
Automated ultrasound assessment of amniotic fluid index using deep learningHyun Cheol Cho, Siyu Sun, Chang Min Hyun, et al.
Medical Image Analysis|February 1, 2024
Fully automatic integration of dental CBCT images and full-arch intraoral impressions with stitching error correction via individual tooth segmentation and identificationTae Jun Jang, Hye Sun Yun, Chang Min Hyun, et al.
Journal of Dentistry|February 14, 2026
Facial Surface Tracing Approach to Reduce the Observation Errors in 3D Curvilinear Landmark Annotations on Cone-Beam Computed Tomography ImagesUtkarsh Mangal, Hyeonseok Jinn, Chang Min Hyun, et al.
Pageof 1