Zexun Zhou

Orcid: 0000-0002-4742-2505

According to our database1, Zexun Zhou authored at least 12 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
An asymmetric Gaussian mixture model via anisotropic markov random field regularization for 3D-MRI brain tissue segmentation.
Appl. Soft Comput., 2026

2025
Comprehensive exploiting local and global features for brain tumor segmentation: A gated dual-branch hybrid attention mechanism.
Biomed. Signal Process. Control., 2025

Segmenting Action-Value Functions over Time Scales in SARSA via TD(Δ).
Algorithms, 2025

FrFTormer: A Fractional Fourier Transform and Swin Transfomer-Based Neural Network for 3D MRI Brain Tumor Segmentation.
Proceedings of the Fuzzy Systems and Data Mining XI, 2025

An Anisotropic Regularized Skew Normal Mixture Model for 3D-MRI Brain Tissue Segmentation.
Proceedings of the Fuzzy Systems and Data Mining XI, 2025

2020
Context prior-based with residual learning for face detection: A deep convolutional encoder-decoder network.
Signal Process. Image Commun., 2020

AFPNet: A 3D fully convolutional neural network with atrous-convolution feature pyramid for brain tumor segmentation via MRI images.
Neurocomputing, 2020

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network.
Neurocomputing, 2020

3D dense connectivity network with atrous convolutional feature pyramid for brain tumor segmentation in magnetic resonance imaging of human heads.
Comput. Biol. Medicine, 2020

Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder-Decoder Network.
IEEE Access, 2020

2018
FHEDN: A context modeling Feature Hierarchy Encoder-Decoder Network for face detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
FHEDN: A based on context modeling Feature Hierarchy Encoder-Decoder Network for face detection.
CoRR, 2017


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