Bangkang Fu

According to our database, Bangkang Fu authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PI-uMSS: Prior information-based unsupervised magnetic source separation in quantitative susceptibility mapping.

Junjie He, Bangkang Fu, Cen Pan, Lisha Nie, Rui Xu, Zi Xu, Rongpin Wang

NeuroImage, 2026

HSFSurv: A hybrid supervision framework at individual and feature levels for multimodal cancer survival analysis.

Bangkang Fu, Junjie He, Xiaoli Zhang, Yunsong Peng, Zhuxu Zhang, Qi Tang, Xinfeng Liu, Ying Cao, Rongpin Wang

Medical Image Anal., 2026

Multimodal dynamic fusion framework for survival prediction in clear cell renal cell carcinoma.

Bangkang Fu, Wuchao Li, Junjie He, Zi Xu, Yunsong Peng, Zhen Liu, Yan Zhang, Pinhao Li, Ping Huang, Rongpin Wang

Inf. Fusion, 2026

Advancing automated diagnosis of active pulmonary tuberculosis in multi-center settings through domain generalization and multi-scale convolution fusion.

Zhangxin Hong, Mudan Zhang, Bangkang Fu, Zhenliang Xiong, Rongpin Wang

Biomed. Signal Process. Control., 2026

2025

RPF-Net: A multimodal model for the postoperative UISS risk stratification of non-metastatic ccRCC based on CT and whole-slide images.

Jiahui Mao, Wuchao Li, Xinhuan Sun, Bangkang Fu, Junjie He, Chongzhe Yan, Jianguo Zhu, Zhuxue Zhang, Jiahui Mao, Zhangxin Hong, Qi Tang, Zhen Liu, Pinhao Li, Yan Zhang, Rongpin Wang

Comput. Methods Programs Biomed., 2025

BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation.

Bangkang Fu, Feng Liu, Junjie He, Zi Xu, Yunsong Peng, Xiaoli Zhang, Rongpin Wang

Comput. Methods Programs Biomed., 2025

Unveiling hidden risks: A Holistically-Driven Weak Supervision framework for ultra-short-term ACS prediction using CCTA.

Zhen Liu, Bangkang Fu, Jiahui Mao, Junjie He, Jiangyue Xiang, Hongjin Li, Yunsong Peng, Bangguo Li, Rongpin Wang

Comput. Medical Imaging Graph., 2025

GAMMIL: A graph attention-guided multi-scale fusion multiple instance learning model for the WHO grading of meningioma in whole slide images.

Guilan Tu, Wuchao Li, Yongshun Lin, Zi Xu, Junjie He, Bangkang Fu, Ping Huang, Rongpin Wang, Yunsong Peng

Biomed. Signal Process. Control., 2025

Segmentation outperforms registration in quantitative analysis of brain iron.

Junjie He, Bangkang Fu, Bo Wang, Zhenliang Xiong, Yunsong Peng, Rongpin Wang

Biomed. Signal Process. Control., 2025

ACE-QSM: Accelerating quantitative susceptibility mapping acquisition using diffusion models by reducing repetition time.

Junjie He, Bangkang Fu, Bo Wang, Yunsong Peng, Lisha Nie, Man Tang, Rui Xu, Rongpin Wang

Biomed. Signal Process. Control., 2025

2024

HmsU-Net: A hybrid multi-scale U-net based on a CNN and transformer for medical image segmentation.

Bangkang Fu, Yunsong Peng, Junjie He, Chong Tian, Xinhuan Sun, Rongpin Wang

Comput. Biol. Medicine, March, 2024

SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images.

Junjie He, Mudan Zhang, Wuchao Li, Yunsong Peng, Bangkang Fu, Chen Liu, Jian Wang, Rongpin Wang

Comput. Biol. Medicine, February, 2024

mQSM: Multitask Learning-Based Quantitative Susceptibility Mapping for Iron Analysis in Brain.

Junjie He, Bangkang Fu, Zhenliang Xiong, Yunsong Peng, Rongpin Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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 carcinoma.

Xinhuan Sun, Wuchao Li, Bangkang Fu, Yunsong Peng, Junjie He, Lihui Wang, Tongyin Yang, Xue Meng, Jin Li, Jinjing Wang, Ping Huang, Rongpin Wang

Comput. Methods Programs Biomed., December, 2023

msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.

Junjie He, Yunsong Peng, Bangkang Fu, Yuemin Zhu, Lihui Wang, Rongpin Wang

NeuroImage, 2023

2022

StoHisNet: A hybrid multi-classification model with CNN and Transformer for gastric pathology images.

Bangkang Fu, Mudan Zhang, Junjie He, Ying Cao, Yuchen Guo, Rongpin Wang

Comput. Methods Programs Biomed., 2022