Personalized brachytherapy dose reconstruction using deep learning. - Azadeh Akhavanallaf; Reza Mohammadi; Isaac Shiri; Yazdan Salimi; Hossein Arabi; Habib Zaidi (Comput. Biol. Medicine, 2021)

Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients. - Isaac Shiri; Majid Sorouri; Parham Geramifar; Mostafa Nazari; Mohammad Abdollahi; Yazdan Salimi; Bardia Khosravi; Dariush Askari; Leila Aghaghazvini; Ghasem Hajianfar; Amir Kasaeian; Hamid Abdollahi; et al. (Comput. Biol. Medicine, 2021)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Moamen Abobakr; Azadeh Akhavanallaf; Panagiotis Balermpas; Sarah Boughdad; Leo Capriotti; Joël Castelli; Catherine Cheze Le Rest; Pierre Decazes; Ricardo Correia 006; Dina El-Habashy; et al. (HECKTOR@MICCAI, 2022)

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)

Multi-institutional PET/CT image segmentation using federated deep transformer learning. - Isaac Shiri; Behrooz Razeghi; Alireza Vafaei Sadr; Mehdi Amini; Yazdan Salimi; Sohrab Ferdowsi; Peter Boor; Deniz Gündüz; Slava Voloshynovskiy; Habib Zaidi (Comput. Methods Programs Biomed., 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)

An efficient dual-domain deep learning network for sparse-view CT reconstruction. - Chang Sun; Yazdan Salimi; Neroladaki Angeliki; Sana Boudabbous; Habib Zaidi (Comput. Methods Programs Biomed., 2024)

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. - Isaac Shiri; Behrooz Razeghi; Sohrab Ferdowsi; Yazdan Salimi; Deniz Gündüz; Douglas Teodoro; Slava Voloshynovskiy; Habib Zaidi (J. Biomed. Informatics, 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)

From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation. - Pooya Mohammadi Kazaj; Giovanni Baj; Yazdan Salimi; Anselm W. Stark; Waldo Valenzuela; George CM. Siontis; Habib Zaidi; Mauricio Reyes 001; Christoph Graeni; Isaac Shiri (CoRR, 2025)