Xueying Zhou

Orcid: 0000-0002-8257-7449

According to our database1, Xueying Zhou authored at least 13 papers between 2016 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Self-training adversarial learning for cross-domain retinal OCT fluid segmentation.
Comput. Biol. Medicine, March, 2023

Discriminative Feature Learning Framework With Gradient Preference for Anomaly Detection.
IEEE Trans. Instrum. Meas., 2023

An Extended Cloud Shadow Detection Algorithm Supported by an A Priori Database.
IEEE Trans. Geosci. Remote. Sens., 2023

Spatial-contextual variational autoencoder with attention correction for anomaly detection in retinal OCT images.
Comput. Biol. Medicine, 2023

2022
A New Method for Continuous Monitoring of Black and Odorous Water Body Using Evaluation Parameters: A Case Study in Baoding.
Remote. Sens., 2022

2020
Application of Computer Multimedia Technology in Training and Teaching of Nursing Staff in Operating Room.
Proceedings of the CIPAE 2020: 2020 International Conference on Computers, 2020

2018
A New Cloud Detection Method Supported by GlobeLand30 Data Set.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

A Priori Surface Reflectance-Based Cloud Shadow Detection Algorithm for Landsat 8 OLI.
IEEE Geosci. Remote. Sens. Lett., 2018

2017
A comparison of the cloud detection results between the UDTCDA mask and MOD35 cloud products.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A high-speed end-to-end approach for retinal arteriovenous segmentation.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Colorectal polyp segmentation using a fully convolutional neural network.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Dynamic threshold cloud detection algorithms for MODIS and Landsat 8 data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

A high-resolution global dataset of aerosol optical depth over land from MODIS data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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