Huadan Xue

Orcid: 0000-0002-4278-2165

According to our database1, Huadan Xue authored at least 12 papers between 2013 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Inertial-Based Incision Depth Navigation Framework.
IEEE Internet Things J., 2026

2025
Phantom-based quantification of the spectral accuracy of lower extremity vascular imaging using a second-generation dual-layer spectral CT at 100 kVp and 120kVp.
BMC Medical Imaging, December, 2025

Advancing MRI segmentation with CLIP-driven semi-supervised learning and semantic alignment.
Neurocomputing, 2025

2024
Semi-Supervised Medical Image Segmentation with Cross-View Consistency and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction.
BMC Medical Imaging, December, 2023

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.
Medical Image Anal., May, 2023

Deep-learning based detection model of small pancreatic cystic lesions on contrast-enhanced CT.
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.
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.
BMC Medical Imaging, 2021

Parallel Medical Imaging: An ACP-Based Approach for Intelligent Medical Image Recognition with Small Samples.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2013
Computational Methodology of Optical Molecular Imaging.
Comput. Math. Methods Medicine, 2013

An automatic tumor segmentation framework of cervical cancer in T2-weighted and diffusion weighted magnetic resonance images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013


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