Xiaoyong Zhang
Orcid: 0000-0001-6375-1547Affiliations:
- National Institute of Technology, Sendai College, Japan
- Tohoku University, Graduate School of Biomedical Engineering, Graduate School of Medicine, Japan
According to our database1,
Xiaoyong Zhang
authored at least 18 papers
between 2011 and 2024.
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Bibliography
2024
Attention Optimization in AI-Aided Drowning Diagnosis Using Post-Mortem CT to Mitigate Overfitting with Limited Training Data.
Proceedings of the International Joint Conference on Neural Networks, 2024
Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning.
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography.
IEEE J. Biomed. Health Informatics, February, 2023
How Different Data Sources Impact Deep Learning Performance in COVID-19 Diagnosis using Chest X-ray Images.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023
2022
Improved Tumor Image Estimation in X-Ray Fluoroscopic Images by Augmenting 4DCT Data for Radiotherapy.
J. Adv. Comput. Intell. Intell. Informatics, 2022
2021
Deep Learning-Based Interpretable Computer-Aided Diagnosis of Drowning for Forensic Radiology.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021
An Interpretable DL-Based Method for Diagnosis of H. Pylori Infection Using Gastric X-Ray Images.
Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021
Deep CNN-Based Computer-Aided Diagnosis for Drowning Detection using Post-mortem Lungs CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Human ability enhancement for reading mammographic masses by a deep learning technique.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2015
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
A real-time feature-based markerless tumor tracking method using X-ray image sequence for radiotherapy.
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
2014
A Faster 1-D Phase-Only Correlation-Based Method for Estimations of Translations, Rotation and Scaling in Images.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014
2013
A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy.
Comput. Math. Methods Medicine, 2013
Volume registration based on 3-D phase correlation for tumor motion estimation in 4-D CT.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2011
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011
Reduction of Computational Cost of POC-Based Methods for Displacement Estimation in Old Film Sequences.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011