Thanongchai Siriapisith
Orcid: 0000-0002-3748-7460
According to our database1,
Thanongchai Siriapisith
authored at least 12 papers
between 2018 and 2023.
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Bibliography
2023
Fast MRI reconstruction using StrainNet with dual-domain loss on spatial and frequency spaces.
Intell. Syst. Appl., May, 2023
Classification of chest radiography from general radiography using deep learning approach.
ICT Express, 2023
2022
A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm.
PeerJ Comput. Sci., 2022
Multi-level pooling encoder-decoder convolution neural network for MRI reconstruction.
PeerJ Comput. Sci., 2022
A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence.
BMC Medical Imaging, 2022
2021
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images.
PeerJ Comput. Sci., 2021
Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies.
BMC Medical Imaging, 2021
2020
Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation.
Comput. Biol. Medicine, 2020
2019
3D segmentation of exterior wall surface of abdominal aortic aneurysm from CT images using variable neighborhood search.
Comput. Biol. Medicine, 2019
2018
Outer Wall Segmentation of Abdominal Aortic Aneurysm by Variable Neighborhood Search Through Intensity and Gradient Spaces.
J. Digit. Imaging, 2018
A General Approach to Segmentation in CT Grayscale Images using Variable Neighborhood Search.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018