Changyong Guo

According to our database1, Changyong Guo authored at least 15 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Dual-Context Aggregation for Universal Image Matting.
CoRR, 2024

2023
Scale-Aware Frequency Attention network for super-resolution.
Neurocomputing, October, 2023

Vascular Enhancement Analysis in Lightweight Deep Feature Space.
Neural Process. Lett., June, 2023

2022
PMMSA: Security analysis system for android wearable applications based on permission matching and malware similarity analysis.
Future Gener. Comput. Syst., 2022

2020
CovLets: A Second-Order Descriptor for Modeling Multiple Features.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Robust Visual Tracking Using Kernel Sparse Coding on Multiple Covariance Descriptors.
ACM Trans. Multim. Comput. Commun. Appl., 2020

2019
Accurate Pelvis and Femur Segmentation in Hip CT With a Novel Patch-Based Refinement.
IEEE J. Biomed. Health Informatics, 2019

2016
Shape-intensity prior level set combining probabilistic atlas and probability map constrains for automatic liver segmentation from abdominal CT images.
Int. J. Comput. Assist. Radiol. Surg., 2016

2015
A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images.
IEICE Trans. Inf. Syst., 2015

Surface-based rigid registration using a global optimization algorithm for assessment of MRI knee cartilage thickness changes.
Biomed. Signal Process. Control., 2015

2014
Greedy algorithm based deformable simplex meshes using gradient vector flow as external energy.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Accuracy Limits for the Thickness Measurement of the Hip Joint Cartilage in 3-D MR Images: Simulation and Validation.
IEEE Trans. Biomed. Eng., 2013

Automatic segmentation technique for acetabulum and femoral head in CT images.
Pattern Recognit., 2013

2011
Accurate three-dimensional registration of magnetic resonance images for detecting local changes in cartilage thickness.
J. Electronic Imaging, 2011

Automatic 3D MR Image Registration and Its Evaluation for Precise Monitoring of Knee Joint Disease.
IEICE Trans. Inf. Syst., 2011


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