Amirhossein Sanaat
Orcid: 0000-0001-8437-2060
According to our database1,
Amirhossein Sanaat
authored at least 7 papers
between 2021 and 2024.
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Bibliography
2024
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study.
Int. J. Imaging Syst. Technol., March, 2024
Stable Diffusion Model-Based Scintigraphy Image Synthesis: Data Augmentation Toward Enhanced Multiclass Thyroid Diagnosis.
Proceedings of the 12th European Workshop on Visual Information Processing, 2024
2023
Comput. Medical Imaging Graph., December, 2023
2022
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness.
J. Digit. Imaging, 2022
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images.
Int. J. Imaging Syst. Technol., 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients.
Comput. Biol. Medicine, 2022
2021
DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.
NeuroImage, 2021