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

Beomhee Park

Showing results (1-10 of 22) with videos related to

Pageof 3
Sort By:
IEEE Transactions on Bio-Medical Engineering|April 5, 2021
Electrical Characterization of the Tongue and the Soft Palate Using Lumped-Element Model for Intraoral NeuromodulationBeomhee Park, Saurabh Biswas, Hangue Park
Journal of Digital Imaging|September 9, 2017
Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT ImagesSangHoon Jun, BeomHee Park, Joon Beom Seo, et al.
Journal of Digital Imaging|August 10, 2019
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural NetworksBeomhee Park, Heejun Park, Sang Min Lee, et al.
Computers in Biology and Medicine|August 15, 2021
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographsYongwon Cho, Beomhee Park, Sang Min Lee, et al.
Journal of Digital Imaging|March 19, 2022
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest RadiographsMinki Chung, Seo Taek Kong, Beomhee Park, et al.
Computer Methods and Programs in Biomedicine|June 30, 2020
CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernelsDa-In Eun, Ilsang Woo, Beomhee Park, et al.
Scientific Reports|December 8, 2018
A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT ImagesHyun-Jin Bae, Chang-Wook Kim, Namju Kim, et al.
Scientific Reports|March 28, 2019
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained SlidesYoung-Gon Kim, Gyuheon Choi, Heounjeong Go, et al.
Radiology|March 11, 2025
Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader StudyEun Kyoung Hong, Byungseok Roh, Beomhee Park, et al.
Radiology|March 23, 2021
Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover StudyJinkyeong Sung, Sohee Park, Sang Min Lee, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Bio-Medical Engineering|April 5, 2021
Electrical Characterization of the Tongue and the Soft Palate Using Lumped-Element Model for Intraoral NeuromodulationBeomhee Park, Saurabh Biswas, Hangue Park
Journal of Digital Imaging|September 9, 2017
Development of a Computer-Aided Differential Diagnosis System to Distinguish Between Usual Interstitial Pneumonia and Non-specific Interstitial Pneumonia Using Texture- and Shape-Based Hierarchical Classifiers on HRCT ImagesSangHoon Jun, BeomHee Park, Joon Beom Seo, et al.
Journal of Digital Imaging|August 10, 2019
Lung Segmentation on HRCT and Volumetric CT for Diffuse Interstitial Lung Disease Using Deep Convolutional Neural NetworksBeomhee Park, Heejun Park, Sang Min Lee, et al.
Computers in Biology and Medicine|August 15, 2021
Optimal number of strong labels for curriculum learning with convolutional neural network to classify pulmonary abnormalities in chest radiographsYongwon Cho, Beomhee Park, Sang Min Lee, et al.
Journal of Digital Imaging|March 19, 2022
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest RadiographsMinki Chung, Seo Taek Kong, Beomhee Park, et al.
Computer Methods and Programs in Biomedicine|June 30, 2020
CT kernel conversions using convolutional neural net for super-resolution with simplified squeeze-and-excitation blocks and progressive learning among smooth and sharp kernelsDa-In Eun, Ilsang Woo, Beomhee Park, et al.
Scientific Reports|December 8, 2018
A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT ImagesHyun-Jin Bae, Chang-Wook Kim, Namju Kim, et al.
Scientific Reports|March 28, 2019
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained SlidesYoung-Gon Kim, Gyuheon Choi, Heounjeong Go, et al.
Radiology|March 11, 2025
Value of Using a Generative AI Model in Chest Radiography Reporting: A Reader StudyEun Kyoung Hong, Byungseok Roh, Beomhee Park, et al.
Radiology|March 23, 2021
Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover StudyJinkyeong Sung, Sohee Park, Sang Min Lee, et al.
Pageof 3