Huadan Xue

According to our database, Huadan Xue authored at least 8 papers between 2013 and 2023.

Collaborative distances:

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

2023

Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction.

Daming Zhang, Chunlin Mu, Xinyue Zhang, Jing Yan, Ming Xu, Yun Wang, Yining Wang, Huadan Xue, Yuexin Chen, Zhengyu Jin

BMC Medical Imaging, December, 2023

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.

Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu

Medical Image Anal., May, 2023

Deep-learning based detection model of small pancreatic cystic lesions on contrast-enhanced CT.

Feiyang Xie, Wenyi Deng, Li Mao, Xiuli Li, Zhengyu Jin, Huadan Xue

Proceedings of the IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, 2023

2022

M3Net: A multi-scale multi-view framework for multi-phase pancreas segmentation based on cross-phase non-local attention.

Taiping Qu, Xiheng Wang, Chaowei Fang, Li Mao, Juan Li, Ping Li, Jinrong Qu, Xiuli Li, Huadan Xue, Yizhou Yu, Zhengyu Jin

Medical Image Anal., 2022

2021

Quick evaluation of lower leg ischemia in patients with peripheral arterial disease by time maximum intensity projection CT angiography: a pilot study.

Daming Zhang, Xueyan Zhou, Haiping Zhang, Xiaobing Fan, Zehong Lin, Huadan Xue, Yining Wang, Zhengyu Jin, Yuexin Chen

BMC Medical Imaging, 2021

Parallel Medical Imaging: An ACP-Based Approach for Intelligent Medical Image Recognition with Small Samples.

Tianyu Shen, Chao Gou, Jiangong Wang, Jun Huang, Yonglan He, Huadan Xue, Zhengyu Jin, Fei-Yue Wang

Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2013

Computational Methodology of Optical Molecular Imaging.

Chenghu Qin, Yujie Lu, Jimin Liang, Deming Kong, Huadan Xue

Comput. Math. Methods Medicine, 2013

An automatic tumor segmentation framework of cervical cancer in T2-weighted and diffusion weighted magnetic resonance images.

Yueying Kao, Wu Li, Huadan Xue, Cui Ren, Jie Tian

Proceedings of the Medical Imaging 2013: Image Processing, 2013