Yazdan Salimi
Orcid: 0000-0002-1233-9576
According to our database1,
Yazdan Salimi
authored at least 9 papers
between 2021 and 2024.
Collaborative distances:
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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
PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation.
J. Biomed. Informatics, 2024
Comput. Methods Programs Biomed., 2024
2023
Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Comput. Methods Programs Biomed., October, 2023
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
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022
2021
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients.
Comput. Biol. Medicine, 2021
Comput. Biol. Medicine, 2021