Lei Xu

Orcid: 0000-0002-8499-0448

Affiliations:
  • Capital Medical University, Beijing Anzhen Hospital, Department of Radiology, Beijing, China


According to our database1, Lei Xu authored at least 11 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Causal knowledge fusion for 3D cross-modality cardiac image segmentation.
Inf. Fusion, November, 2023

Distance transform learning for structural and functional analysis of coronary artery from dual-view angiography.
Future Gener. Comput. Syst., August, 2023

Multiple Adversarial Learning Based Angiography Reconstruction for Ultra-Low-Dose Contrast Medium CT.
IEEE J. Biomed. Health Informatics, 2023

2021
Spatio-temporal multi-task network cascade for accurate assessment of cardiac CT perfusion.
Medical Image Anal., 2021

Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things.
IEEE Internet Things J., 2021

Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis.
Inf. Fusion, 2021

2020
Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs.
Medical Image Anal., 2020

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst., 2020

2018
Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture.
Medical Image Anal., 2018

MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017


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