Weiping Lu

According to our database1, Weiping Lu authored at least 26 papers between 2000 and 2024.

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

Timeline

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Links

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Bibliography

2024
Dynamic contrast-enhanced MR imaging in identifying active anal fistula after surgery.
BMC Medical Imaging, December, 2024

Rapid bacterial identification through volatile organic compound analysis and deep learning.
BMC Bioinform., December, 2024

Mind-bridge: reconstructing visual images based on diffusion model from human brain activity.
Signal Image Video Process., 2024

SCS-SLSP: Hard uncertain pixels mining and utilization for semi-supervised cardiac image segmentation using subjective logic theory and subset prototype generation.
Biomed. Signal Process. Control., 2024

MBDA-Net: Multi-source boundary-aware prototype alignment domain adaptation for polyp segmentation.
Biomed. Signal Process. Control., 2024

A Two-Stage Automatic Collateral Scoring Framework Based on Brain Vessel Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Understanding the Contribution of Adaptive Beamforming Combined with Ultrasound Localisation Microscopy for Super-Resolved Microvessel Mapping.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Super Resolution Ultrasound Imaging Biomarkers in Prostate Cancer.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Feasibility of a Vascular-Specific Super Resolution Ultrasound Algorithm for Prostate Cancer Imaging.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty.
Health Inf. Sci. Syst., December, 2023

Particle Tracking with Neighbourhood Similarities: A New Method for Super Resolution Ultrasound Imaging.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2019
Realistic Super-Resolution Image Analysis for State of the Art 2D Contrast Enhanced Ultrasound Imaging.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2017
A robust iterative algorithm for image restoration.
EURASIP J. Image Video Process., 2017

2012
A New Framework for Particle Detection in Low-SNR Fluorescence Live-Cell Images and Its Application for Improved Particle Tracking.
IEEE Trans. Biomed. Eng., 2012

A new feature-preserving nonlinear anisotropic diffusion for denoising images containing blobs and ridges.
Pattern Recognit. Lett., 2012

A Mixture Model Classifier and its Application on the Biomedical Time Series.
Appl. Artif. Intell., 2012

2011
A New Feature-preserving Nonlinear Anisotropic Diffusion Method for Image Denoising.
Proceedings of the British Machine Vision Conference, 2011

2010
Application of Background Information Database in Trend Change of Agricultural Land Area of Guangxi.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

Extraction of Remote Sensing Information of LONGAN Under Support of "3S" Technology in Guangxi Province.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

Application of Background Information Database in Drought Monitoring of Guangxi in 2010.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

Kernel Domain Description with Incomplete Data: Using Instance-Specific Margins to Avoid Imputation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A 2D+t Feature-preserving Non-local Means Filter for Image Denoising and Improved Detection of Small and Weak Particles.
Proceedings of the British Machine Vision Conference, 2010

2009
A new tracking method for small infrared targets.
Proceedings of the International Conference on Image Processing, 2009

2001
Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps.
Neural Process. Lett., 2001

2000
Detecting False Benign in Breast Cancer Diagnosis.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Identifying Health Inequalities Using Artificial Neural Networks (WHO Data).
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000


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