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)

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)

Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report. - Pouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Mana Moassefi; Sanaz Vahdati; Bradley J. Erickson (CoRR, 2022)

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research. - Bardia Khosravi; Frank Li 005; Theo Dapamede; Pouria Rouzrokh; Cooper U. Gamble; Hari M. Trivedi; Cody C. Wyles; Andrew B. Sellergren; Saptarshi Purkayastha; Bradley J. Erickson; Judy W. Gichoya (CoRR, 2023)

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI. - Shahriar Faghani; Bardia Khosravi; Mana Moassefi; Gian Marco Conte; Bradley J. Erickson (J. Digit. Imaging, 2023)

Few-shot biomedical image segmentation using diffusion models: Beyond image generation. - Bardia Khosravi; Pouria Rouzrokh; John P. Mickley; Shahriar Faghani; Kellen L. Mulford; Linjun Yang; A. Noelle Larson; Benjamin M. Howe; Bradley J. Erickson; Michael J. Taunton; Cody C. Wyles (Comput. Methods Programs Biomed., 2023)

RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models. - Farhad Maleki; Linda Moy; Reza Forghani; Tapotosh Ghosh; Katie L. Ovens; Steve Langer; Pouria Rouzrokh; Bardia Khosravi; Ali Ganjizadeh; Daniel I. Warren; Roxana Daneshjou; Mana Moassefi; et al. (CoRR, 2024)

RadRotator: 3D Rotation of Radiographs with Diffusion Models. - Pouria Rouzrokh; Bardia Khosravi; Shahriar Faghani; Kellen L. Mulford; Michael J. Taunton; Bradley J. Erickson; Cody C. Wyles (CoRR, 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)

A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis. - Elham Mahmoudi; Sanaz Vahdati; Chieh-Ju Chao; Bardia Khosravi; Ajay Misra; Francisco Lopez-Jimenez; Bradley J. Erickson (J. Am. Medical Informatics Assoc., 2025)

Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis. - Frank Li 005; Hari Trivedi; Bardia Khosravi; Theo Dapamede; Mohammadreza Chavoshi; Abdulhameed Dere; Rohan Satya Isaac; Aawez Mansuri; Janice M. Newsome; Saptarshi Purkayastha; Judy Gichoya (CoRR, 2025)