PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. - Isaac Shiri; Hassan Maleki; Ghasem Hajianfar; Hamid Abdollahi; Saeed Ashrafinia; Mathieu Hatt; Mehrdad Oveisi; Arman Rahmim (CoRR, 2019)

MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography. - Shakiba Moradi; Azin Alizadehasl; Jan Dhooge; Isaac Shiri; Niki Oveisi; Mehrdad Oveisi; Majid Maleki; Mostafa Ghelich Oghli (CoRR, 2019)

Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. - Isaac Shiri; Hassan Maleki; Ghasem Hajianfar; Hamid Abdollahi; Saeed Ashrafinia; Mathieu Hatt; Mehrdad Oveisi; Arman Rahmim (CoRR, 2019)

Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis. - Ghasem Hajianfar; Isaac Shiri; Hassan Maleki; Niki Oveisi; Abbass Haghparast; Hamid Abdollahi; Mehrdad Oveisi (CoRR, 2019)

Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning. - Mostafa Nazari; Isaac Shiri; Ghasem Hajianfar; Niki Oveisi; Hamid Abdollahi; Mohammad Reza Deevband; Mehrdad Oveisi (CoRR, 2019)

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

Artificial intelligence-driven assessment of radiological images for COVID-19. - Yassine Bouchareb; Pegah Moradi Khaniabadi; Faiza Al Kindi; Humoud Al Dhuhli; Isaac Shiri; Habib Zaidi; Arman Rahmim (Comput. Biol. Medicine, 2021)

Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. - Zahra Khodabakhshi; Shayan Mostafaei; Hossein Arabi; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (Comput. Biol. Medicine, 2021)

Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients. - Mostafa Nazari; Isaac Shiri; 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)

Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information. - Zahra Khodabakhshi; Mehdi Amini; Shayan Mostafaei; Atlas Haddadi Avval; Mostafa Nazari; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2021)

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)

Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection. - Elham Avard; Isaac Shiri; Ghasem Hajianfar; Hamid Abdollahi; Kiara Rezaei-Kalantari; Golnaz Houshmand; Kianosh Kasani; Ahmad Bitarafan-rajabi; Mohammad Reza Deevband; Mehrdad Oveisi; Habib Zaidi (Comput. Biol. Medicine, 2022)

Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy. - Amir Jabbarpour; Seied Rabi Mahdavi; Alireza Vafaei Sadr; Golbarg Esmaili; Isaac Shiri; Habib Zaidi (Comput. Biol. Medicine, 2022)

Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics. - Pegah Moradi Khaniabadi; Yassine Bouchareb; Humoud Al Dhuhli; Isaac Shiri; Faiza Al Kindi; Bita Moradi Khaniabadi; Habib Zaidi; Arman Rahmim (Comput. Biol. Medicine, 2022)

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. - Isaac Shiri; Mehdi Amini; Mostafa Nazari; Ghasem Hajianfar; Atlas Haddadi Avval; Hamid Abdollahi; Mehrdad Oveisi; Hossein Arabi; Arman Rahmim; Habib Zaidi (Comput. Biol. Medicine, 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)

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. - Arman Rahmim; Amirhosein Toosi; Mohammad R. Salmanpour; Natalia Dubljevic; Ian Janzen; Isaac Shiri; Mohamad A. Ramezani; Ren Yuan; Cheryl Ho; Habib Zaidi; Calum MacAulay; Carlos F. Uribe; et al. (CoRR, 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)

Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms. - Fatemeh Arian; Mehdi Amini; Shayan Mostafaei; Kiara Rezaei-Kalantari; Atlas Haddadi Avval; Zahra Shahbazi; Kianosh Kasani; Ahmad Bitarafan-rajabi; Saikat Chatterjee; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 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)

Multimodality medical image analysis using radiomics and deep learning. - Isaac Shiri (2023)

Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. - Maziar Sabouri; Ghasem Hajianfar; Zahra Hosseini; Mehdi Amini; Mobin Mohebi; Tahereh Ghaedian; Shabnam Madadi; Fereydoon Rastgou; Mehrdad Oveisi; Ahmad Bitarafan-rajabi; Isaac Shiri; Habib Zaidi (J. Digit. Imaging, 2023)

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer. - Mohammad Salehi; Alireza Vafaei Sadr; Seied Rabi Mahdavi; Hossein Arabi; Isaac Shiri; Reza Reiazi (J. Digit. Imaging, 2023)

Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study. - Mobin Mohebi; Mehdi Amini; Mohammad Javad Alemzadeh-Ansari; Azin Alizadehasl; Ahmad Bitarafan-rajabi; Isaac Shiri; Habib Zaidi; Mahdi Orooji (J. Digit. Imaging, 2023)

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)

Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms. - Haniyeh Taleie; Ghasem Hajianfar; Maziar Sabouri; Mozhgan Parsaee; Golnaz Houshmand; Ahmad Bitarafan-rajabi; Habib Zaidi; Isaac Shiri (J. Digit. Imaging, 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)

Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images. - Amirhosein Toosi; Isaac Shiri; Habib Zaidi; Arman Rahmim (CoRR, 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)

Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study. - Ghasem Hajianfar; Seyyed Ali Hosseini; Sara Bagherieh; Mehrdad Oveisi; Isaac Shiri; Habib Zaidi (Medical Biol. Eng. Comput., 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)