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

Tai-Been Chen

Showing results (41-50 of 49) with videos related to

Pageof 5
Sort By:
You have reached the last page of results.This site can display upto 49 results.
Sensors (Basel, Switzerland)|April 14, 2019
Feasible Classified Models for Parkinson Disease from <sup>99m</sup>Tc-TRODAT-1 SPECT ImagingShih-Yen Hsu, Hsin-Chieh Lin, Tai-Been Chen, et al.
Journal of X-Ray Science and Technology|June 4, 2016
Investigated geometrical characteristics and image density of left ventricle of multi-detector computed tomography in early coronary artery disease patientsNan-Han Lu, Tai-Been Chen, Kuo-Ying Liu, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|August 24, 2019
Classification for liver ultrasound tomography by posterior attenuation correction with a phantom studyChih-I Chen, Tai-Been Chen, Nan-Han Lu, et al.
BMC Ophthalmology|April 6, 2017
The risk of cataractogenesis after gamma knife radiosurgery: a nationwide population based case-control studyCheng-Loong Liang, Po-Chou Liliang, Tai-Been Chen, et al.
Diagnostics (Basel, Switzerland)|November 9, 2024
Using Key Predictors in an SVM Model for Differentiating Spinal Fractures and Herniated Intervertebral Discs in Preoperative Anesthesia EvaluationShih-Ying Yang, Shih-Yen Hsu, Yi-Kai Su, et al.
Molecules (Basel, Switzerland)|October 22, 2020
Classification of the Multiple Stages of Parkinson's Disease by a Deep Convolution Neural Network Based on <sup>99m</sup>Tc-TRODAT-1 SPECT ImagesShih-Yen Hsu, Li-Ren Yeh, Tai-Been Chen, et al.
Biosensors|July 2, 2021
Integrating ECG Monitoring and Classification via IoT and Deep Neural NetworksLi-Ren Yeh, Wei-Chin Chen, Hua-Yan Chan, et al.
Healthcare (Basel, Switzerland)|August 12, 2023
Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN ModelsJing-Zhe Wang, Nan-Han Lu, Wei-Chang Du, et al.
Journal of X-Ray Science and Technology|October 16, 2023
Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imagingHsin-Yueh Su, Shang-Ting Hsieh, Kun-Zhe Tsai, et al.
Pageof 5

Showing results (41-50 of 49) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 49 results.
Sensors (Basel, Switzerland)|April 14, 2019
Feasible Classified Models for Parkinson Disease from <sup>99m</sup>Tc-TRODAT-1 SPECT ImagingShih-Yen Hsu, Hsin-Chieh Lin, Tai-Been Chen, et al.
Journal of X-Ray Science and Technology|June 4, 2016
Investigated geometrical characteristics and image density of left ventricle of multi-detector computed tomography in early coronary artery disease patientsNan-Han Lu, Tai-Been Chen, Kuo-Ying Liu, et al.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|August 24, 2019
Classification for liver ultrasound tomography by posterior attenuation correction with a phantom studyChih-I Chen, Tai-Been Chen, Nan-Han Lu, et al.
BMC Ophthalmology|April 6, 2017
The risk of cataractogenesis after gamma knife radiosurgery: a nationwide population based case-control studyCheng-Loong Liang, Po-Chou Liliang, Tai-Been Chen, et al.
Diagnostics (Basel, Switzerland)|November 9, 2024
Using Key Predictors in an SVM Model for Differentiating Spinal Fractures and Herniated Intervertebral Discs in Preoperative Anesthesia EvaluationShih-Ying Yang, Shih-Yen Hsu, Yi-Kai Su, et al.
Molecules (Basel, Switzerland)|October 22, 2020
Classification of the Multiple Stages of Parkinson's Disease by a Deep Convolution Neural Network Based on <sup>99m</sup>Tc-TRODAT-1 SPECT ImagesShih-Yen Hsu, Li-Ren Yeh, Tai-Been Chen, et al.
Biosensors|July 2, 2021
Integrating ECG Monitoring and Classification via IoT and Deep Neural NetworksLi-Ren Yeh, Wei-Chin Chen, Hua-Yan Chan, et al.
Healthcare (Basel, Switzerland)|August 12, 2023
Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN ModelsJing-Zhe Wang, Nan-Han Lu, Wei-Chang Du, et al.
Journal of X-Ray Science and Technology|October 16, 2023
Fusion extracted features from deep learning for identification of multiple positioning errors in dental panoramic imagingHsin-Yueh Su, Shang-Ting Hsieh, Kun-Zhe Tsai, et al.
Pageof 5