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

Bangkang Fu

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Neuroimage|May 23, 2023
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mappingJunjie He, Yunsong Peng, Bangkang Fu, et al.
Computer Methods and Programs in Biomedicine|June 7, 2022
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology imagesBangkang Fu, Mudan Zhang, Junjie He, et al.
Computers in Biology and Medicine|January 25, 2024
HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentationBangkang Fu, Yunsong Peng, Junjie He, et al.
Computer Methods and Programs in Biomedicine|January 15, 2025
BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentationBangkang Fu, Feng Liu, Junjie He, et al.
Neuroimage|December 14, 2025
PI-uMSS: Prior information-based unsupervised magnetic source separation in quantitative susceptibility mappingJunjie He, Bangkang Fu, Cen Pan, et al.
Computers in Biology and Medicine|December 22, 2023
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT imagesJunjie He, Mudan Zhang, Wuchao Li, et al.
Chinese Medical Journal|July 22, 2025
Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancerYuanshen Zhao, Feng Liu, Chaofan Zhu, et al.
Medical Image Analysis|September 28, 2025
HSFSurv: A hybrid supervision framework at individual and feature levels for multimodal cancer survival analysisBangkang Fu, Junjie He, Xiaoli Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 18, 2025
Unveiling hidden risks: A Holistically-Driven Weak Supervision framework for ultra-short-term ACS prediction using CCTAZhen Liu, Bangkang Fu, Jiahui Mao, et al.
Computer Methods and Programs in Biomedicine|September 18, 2023
TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinomaXinhuan Sun, Wuchao Li, Bangkang Fu, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Neuroimage|May 23, 2023
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mappingJunjie He, Yunsong Peng, Bangkang Fu, et al.
Computer Methods and Programs in Biomedicine|June 7, 2022
StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology imagesBangkang Fu, Mudan Zhang, Junjie He, et al.
Computers in Biology and Medicine|January 25, 2024
HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentationBangkang Fu, Yunsong Peng, Junjie He, et al.
Computer Methods and Programs in Biomedicine|January 15, 2025
BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentationBangkang Fu, Feng Liu, Junjie He, et al.
Neuroimage|December 14, 2025
PI-uMSS: Prior information-based unsupervised magnetic source separation in quantitative susceptibility mappingJunjie He, Bangkang Fu, Cen Pan, et al.
Computers in Biology and Medicine|December 22, 2023
SaB-Net: Self-attention backward network for gastric tumor segmentation in CT imagesJunjie He, Mudan Zhang, Wuchao Li, et al.
Chinese Medical Journal|July 22, 2025
Integrating radiology and histology via co-attention deep learning for predicting progression-free survival in patients with metastatic prostate cancerYuanshen Zhao, Feng Liu, Chaofan Zhu, et al.
Medical Image Analysis|September 28, 2025
HSFSurv: A hybrid supervision framework at individual and feature levels for multimodal cancer survival analysisBangkang Fu, Junjie He, Xiaoli Zhang, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|September 18, 2025
Unveiling hidden risks: A Holistically-Driven Weak Supervision framework for ultra-short-term ACS prediction using CCTAZhen Liu, Bangkang Fu, Jiahui Mao, et al.
Computer Methods and Programs in Biomedicine|September 18, 2023
TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinomaXinhuan Sun, Wuchao Li, Bangkang Fu, et al.
Pageof 2