Bardia Khosravi

According to our database, Bardia Khosravi authored at least 21 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MultiMedVision: Multi-Modal Medical Vision Framework.

Frank Li, Bardia Khosravi, Mohammadreza Chavoshi, Young Seok Jeon, Theo Dapamede, Hari Trivedi, Janice M. Newsome, Judy Gichoya

CoRR, May, 2026

Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection.

Mohammadreza Chavoshi, Aawez Mansuri, Wasif Bala, Beatrice Brown-Mulry, Theodorus Dapamede, Rohan Satya Isaac, Bardia Khosravi, Hanzhou Li, Frank Li, John T. Moon, Chad Robichaux, Dan Cohen-Addad, Ninad V. Salastekar, Judy W. Gichoya, Hari Trivedi

npj Digit. Medicine, 2026

2025

Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation.

Frank Li, Theo Dapamede, Mohammadreza Chavoshi, Young Seok Jeon, Bardia Khosravi, Abdulhameed Dere, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chiratidzo Sanyika, Janice M. Newsome, Saptarshi Purkayastha, Imon Banerjee, Hari Trivedi, Judy Gichoya

CoRR, November, 2025

Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis.

Frank Li, Hari Trivedi, Bardia Khosravi, Theo Dapamede, Mohammadreza Chavoshi, Abdulhameed Dere, Rohan Satya Isaac, Aawez Mansuri, Janice M. Newsome, Saptarshi Purkayastha, Judy Gichoya

CoRR, April, 2025

Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging.

Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani

J. Imaging Inform. Medicine, 2025

Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective.

Mana Moassefi, Sina Houshmand, Shahriar Faghani, Peter Chang, Shawn H. Sun, Bardia Khosravi, Aakash G. Triphati, Ghulam Rasool, Neil K. Bhatia, Les R. Folio, Katherine P. Andriole, Judy W. Gichoya, Bradley J. Erickson

J. Imaging Inform. Medicine, 2025

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, Atlas Haddadi Avval, Susan Sotardi, Neil A. Tenenholtz, Felipe Kitamura, Timothy Kline

J. Imaging Inform. Medicine, 2025

Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models.

Bardia Khosravi, Theo Dapamede, Frank Li, Zvipo Chisango, Anirudh Bikmal, Sara Garg, Babajide O. Owosela, Amirali Khosravi, Mohammadreza Chavoshi, Hari M. Trivedi, Cody C. Wyles, Saptarshi Purkayastha, Bradley J. Erickson, Judy W. Gichoya

J. Imaging Inform. Medicine, 2025

DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability.

Theo Dapamede, Frank Li, Bardia Khosravi, Saptarshi Purkayastha, Hari Trivedi, Judy Gichoya

J. Imaging Inform. Medicine, 2025

Comparative Evaluation of Deep Learning and Foundation Model Embeddings for Osteoarthritis Feature Classification in Knee Radiographs.

Mohammadreza Chavoshi, Hari Trivedi, Janice M. Newsome, Aawez Mansuri, Frank Li, Theo Dapamede, Bardia Khosravi, Judy Gichoya

J. Imaging Inform. Medicine, 2025

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

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, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi

Int. J. Imaging Syst. Technol., March, 2024

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.

Sanaz Vahdati, Bardia Khosravi, Elham Mahmoudi, Kuan Zhang, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Aylin Tahmasebi, Katherine P. Andriole, Peter Chang, Keyvan Farahani, Mona G. Flores, Les R. Folio, Sina Houshmand, Maryellen L. Giger, Judy W. Gichoya, Bradley J. Erickson

J. Imaging Inform. Medicine, 2024

Checklist for Reproducibility of Deep Learning in Medical Imaging.

Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile M. Safdar, Linda Moy, Felipe Kitamura, Amilcare Gentili, Paras Lakhani, Nina Kottler, Safwan S. Halabi, Joseph H. Yacoub, Yuankai Hou, Khaled Younis, Bradley J. Erickson, Elizabeth A. Krupinski, Shahriar Faghani

J. Imaging Inform. Medicine, 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

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., December, 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, June, 2023

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research.

Bardia Khosravi, Frank Li, 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

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

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, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Bardia Khosravi, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Arash Teimouri, Fatemeh Movaseghi, Azin Ahmari, Neda Goharpey, Rama Bozorgmehr, Hesamaddin Shirzad-Aski, Roozbeh Mortazavi, Jalal Karimi, Nazanin Mortazavi, Sima Besharat, Mandana Afsharpad, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi

Comput. Biol. Medicine, 2022

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, Hossein Arabi, Arman Rahmim, Amir Reza Radmard, Habib Zaidi

Comput. Biol. Medicine, 2021