DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. - Amirhossein Sanaat; Hossein Shooli; Sohrab Ferdowsi; Isaac Shiri; Hossein Arabi; Habib Zaidi (NeuroImage, 2021)

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. - Isaac Shiri; Yazdan Salimi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Shayan Mostafaei; Azadeh Akhavanallaf; Abdollah Saberi; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Comput. Biol. Medicine, 2022)

COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. - Isaac Shiri; Hossein Arabi; Yazdan Salimi; Amirhossein Sanaat; Azadeh Akhavanallaf; Ghasem Hajianfar; Dariush Askari; Shakiba Moradi; Zahra Mansouri; Masoumeh Pakbin; Saleh Sandoughdaran; Hamid Abdollahi; et al. (Int. J. Imaging Syst. Technol., 2022)

Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness. - Amirhossein Sanaat; Isaac Shiri; Sohrab Ferdowsi; Hossein Arabi; Habib Zaidi (J. Digit. Imaging, 2022)

Image reconstruction using UNET-transformer network for fast and low-dose PET scans. - Sanaz Kaviani; Amirhossein Sanaat; Mersede Mokri; Claire Cohalan; Jean-François Carrier (Comput. Medical Imaging Graph., 2023)

Stable Diffusion Model-Based Scintigraphy Image Synthesis: Data Augmentation Toward Enhanced Multiclass Thyroid Diagnosis. - Ghasem Hajianfar; Maziar Sabouri; Abdollah Saberi Manesh; Soroush Bagheri; Mohsen Arabi; Seyed Rasoul Zakavi; Emran Askari; Ali Rasouli; Azin Asadzadeh; Atena Aghaee; Kourosh Fattahi; Ehsan Bayat; et al. (EUVIP, 2024)

Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. - Isaac Shiri; Yazdan Salimi; Abdollah Saberi; Masoumeh Pakbin; Ghasem Hajianfar; Atlas Haddadi Avval; Amirhossein Sanaat; Azadeh Akhavanallaf; Shayan Mostafaei; Zahra Mansouri; Dariush Askari; Mohammadreza Ghasemian; et al. (Int. J. Imaging Syst. Technol., 2024)

Toward standardization: Assessing the reproducibility of radiomics features in partial volume-corrected brain PET images. - Mohammad Saber Azimi; Maryam Cheraghi; Fatemeh Mahdimaleki; Faezeh Mahdimaleki; Amirhossein Sanaat; Poul Flemming Høilund-Carlsen; Abass Alavi; Habib Zaidi (NeuroImage, 2025)

Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data. - Yiyi Hu; Amirhossein Sanaat; Gregory Mathoux; Eliluane Pirazzo Andrade Teixeira; Valentina Garibotto; Habib Zaidi (NeuroImage, 2025)