Xiangyuan Ma

Orcid: 0000-0003-0958-1537

According to our database1, Xiangyuan Ma authored at least 13 papers between 2018 and 2023.

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

2023
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge.
CoRR, 2023

Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

2022
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification.
Comput. Environ. Urban Syst., 2022

Urban Multiple Route Planning Model Using Dynamic Programming in Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., 2022

Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021
A points of interest matching method using a multivariate weighting function with gradient descent optimization.
Trans. GIS, 2021

Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Assessing multiscale visual appearance characteristics of neighbourhoods using geographically weighted principal component analysis in Shenzhen, China.
Comput. Environ. Urban Syst., 2020

Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019
2D and 3D bladder segmentation using U-Net-based deep-learning.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Multi-path deep learning model for automated mammographic density categorization.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
The Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin.
ISPRS Int. J. Geo Inf., 2018

Fully automated pectoral muscle identification on MLO-view mammograms with deep convolutional neural network.
Proceedings of the 14th International Workshop on Breast Imaging, 2018


  Loading...