Ning Xu

Affiliations:
  • Liaoning Shihua University, Fushun, China
  • University of Siegen, Germany (Ph.D., 2016)


According to our database1, Ning Xu authored at least 18 papers between 2018 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Novel Non-contrast CT Analysis based Method for Segmenting Epicardial Fat and Exploring the Correlation between Epicardial Fat and Cardiac Function.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

CH-DDPMs: A Conjugate and Hybrid Diffusion Model for Low-Dose Fat CT Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2022
CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron.
Pattern Recognit., 2022

An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images.
CoRR, 2022

EBHI: A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation.
CoRR, 2022

2021
EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation.
CoRR, 2021

2020
A review for cervical histopathology image analysis using machine vision approaches.
Artif. Intell. Rev., 2020

2019
A survey for the applications of content-based microscopic image analysis in microorganism classification domains.
Artif. Intell. Rev., 2019

Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework.
IEEE Access, 2019

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning.
IEEE Access, 2019

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019

Cervical Histopathology Image Classification Using Ensembled Transfer Learning.
Proceedings of the Information Technology in Biomedicine, 2019

A Survey for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2019

Weakly Supervised Cervical Histopathological Image Classification Using Multilayer Hidden Conditional Random Fields.
Proceedings of the Information Technology in Biomedicine, 2019

2018
A Brief Review for Content-Based Microorganism Image Analysis Using Classical and Deep Neural Networks.
Proceedings of the Information Technology in Biomedicine, 2018


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