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

Zhuotun Zhu

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

Pageof 1
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2015
3D Shape Matching via Two Layer CodingXiang Bai, Song Bai, Zhuotun Zhu, et al.
Frontiers in Medicine|October 10, 2022
Editorial: Advances in AI methods for computational pathologyXin Qi, Jun Kong, Fuyong Xing, et al.
Medical Image Analysis|July 6, 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptationYingda Xia, Dong Yang, Zhiding Yu, et al.
Annals of Surgical Oncology|August 23, 2024
Preoperative Prediction of Lymph Node Metastases in Nonfunctional Pancreatic Neuroendocrine Tumors Using a Combined CT Radiomics-Clinical ModelTaha M Ahmed, Zhuotun Zhu, Mohammad Yasrab, et al.
Diagnostic and Interventional Imaging|August 19, 2023
Accurate non-invasive grading of nonfunctional pancreatic neuroendocrine tumors with a CT derived radiomics signatureAmmar A Javed, Zhuotun Zhu, Benedict Kinny-Köster, et al.
Abdominal Radiology (New York)|December 15, 2023
Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuraciesSatomi Kawamoto, Zhuotun Zhu, Linda C Chu, et al.
Journal of the American College of Radiology : JACR|September 8, 2019
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial ExperienceLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Nature Communications|October 17, 2022
Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional studyXianghua Ye, Dazhou Guo, Jia Ge, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 6, 2015
3D Shape Matching via Two Layer CodingXiang Bai, Song Bai, Zhuotun Zhu, et al.
Frontiers in Medicine|October 10, 2022
Editorial: Advances in AI methods for computational pathologyXin Qi, Jun Kong, Fuyong Xing, et al.
Medical Image Analysis|July 6, 2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptationYingda Xia, Dong Yang, Zhiding Yu, et al.
Annals of Surgical Oncology|August 23, 2024
Preoperative Prediction of Lymph Node Metastases in Nonfunctional Pancreatic Neuroendocrine Tumors Using a Combined CT Radiomics-Clinical ModelTaha M Ahmed, Zhuotun Zhu, Mohammad Yasrab, et al.
Diagnostic and Interventional Imaging|August 19, 2023
Accurate non-invasive grading of nonfunctional pancreatic neuroendocrine tumors with a CT derived radiomics signatureAmmar A Javed, Zhuotun Zhu, Benedict Kinny-Köster, et al.
Abdominal Radiology (New York)|December 15, 2023
Deep neural network-based segmentation of normal and abnormal pancreas on abdominal CT: evaluation of global and local accuraciesSatomi Kawamoto, Zhuotun Zhu, Linda C Chu, et al.
Journal of the American College of Radiology : JACR|September 8, 2019
Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial ExperienceLinda C Chu, Seyoun Park, Satomi Kawamoto, et al.
Nature Communications|October 17, 2022
Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional studyXianghua Ye, Dazhou Guo, Jia Ge, et al.
Pageof 1