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

Juhun Lee

Showing results (1-10 of 62) with videos related to

Pageof 7
Sort By:
Journal of Imaging Informatics in Medicine|April 28, 2026
Counterfactual Reasoning for Mammogram Classification via Semantic Texture MaskingRidhi Arora, Juhun Lee
Medical Physics|January 25, 2018
Automated mammographic breast density estimation using a fully convolutional networkJuhun Lee, Robert M Nishikawa
Medicine|October 12, 2022
Serum anti-Müllerian hormone recovery after ovarian cystectomy for endometriosis: A retrospective study among Korean womenJuhun Lee, Dae Gy Hong
Journal of Clinical Medicine|October 14, 2023
Do Concurrent Multiple Infections with High-Risk HPVs Carry a More Malignant Potential than a Single Infection in the Uterine Cervix?Juhun Lee, Hyun Jung Lee
Journal of Imaging Informatics in Medicine|December 16, 2025
Mammo-GAN-Assisted Deep Network Training Scheme for Lesion DetectionJuhun Lee, Robert M Nishikawa
IEEE Transactions on Medical Imaging|August 30, 2021
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated MammogramsJuhun Lee, Robert M Nishikawa
IEEE Access : Practical Innovations, Open Solutions|March 8, 2021
Cross-organ, cross-modality transfer learning: feasibility study for segmentation and classificationJuhun Lee, Robert M Nishikawa
Anticancer Research|October 3, 2022
Comparison of Survival Outcomes Based on Pre-treatment Pleural Effusion in Advanced Epithelial Ovarian CancerJuhun Lee, Dae Gy Hong
Breast Cancer Research : BCR|February 2, 2024
Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion removerJuhun Lee, Robert M Nishikawa
Journal of Medical Imaging (Bellingham, Wash.)|January 1, 2020
Detecting mammographically occult cancer in women with dense breasts using deep convolutional neural network and Radon Cumulative Distribution TransformJuhun Lee, Robert M Nishikawa
Pageof 7

Showing results (1-10 of 62) with videos related to

Sort By:
Pageof 7
Journal of Imaging Informatics in Medicine|April 28, 2026
Counterfactual Reasoning for Mammogram Classification via Semantic Texture MaskingRidhi Arora, Juhun Lee
Medical Physics|January 25, 2018
Automated mammographic breast density estimation using a fully convolutional networkJuhun Lee, Robert M Nishikawa
Medicine|October 12, 2022
Serum anti-Müllerian hormone recovery after ovarian cystectomy for endometriosis: A retrospective study among Korean womenJuhun Lee, Dae Gy Hong
Journal of Clinical Medicine|October 14, 2023
Do Concurrent Multiple Infections with High-Risk HPVs Carry a More Malignant Potential than a Single Infection in the Uterine Cervix?Juhun Lee, Hyun Jung Lee
Journal of Imaging Informatics in Medicine|December 16, 2025
Mammo-GAN-Assisted Deep Network Training Scheme for Lesion DetectionJuhun Lee, Robert M Nishikawa
IEEE Transactions on Medical Imaging|August 30, 2021
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated MammogramsJuhun Lee, Robert M Nishikawa
IEEE Access : Practical Innovations, Open Solutions|March 8, 2021
Cross-organ, cross-modality transfer learning: feasibility study for segmentation and classificationJuhun Lee, Robert M Nishikawa
Anticancer Research|October 3, 2022
Comparison of Survival Outcomes Based on Pre-treatment Pleural Effusion in Advanced Epithelial Ovarian CancerJuhun Lee, Dae Gy Hong
Breast Cancer Research : BCR|February 2, 2024
Improving lesion detection in mammograms by leveraging a Cycle-GAN-based lesion removerJuhun Lee, Robert M Nishikawa
Journal of Medical Imaging (Bellingham, Wash.)|January 1, 2020
Detecting mammographically occult cancer in women with dense breasts using deep convolutional neural network and Radon Cumulative Distribution TransformJuhun Lee, Robert M Nishikawa
Pageof 7