Shahriar Faghani

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 31

Top Topics

Total Hip Arthroplasty

Convolutional Neural Network

Cone Beam Computed Tomography

Top Venues

Radiology. Artificial intelligence

AJNR. American journal of neuroradiology

Korean journal of radiology

Journal of imaging informatics in medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology 45 (4) (2024)
Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology 45 (4) (2024)
Shahriar Faghani, Bradley J Erickson
Bone Age Prediction under Stress. Radiology. Artificial intelligence 6 (3) (2024)
Shahriar Faghani, Bradley J Erickson
Bone Age Prediction under Stress. Radiology. Artificial intelligence 6 (3) (2024)
Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile 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 Krupinski, Shahriar Faghani
Checklist for Reproducibility of Deep Learning in Medical Imaging. Journal of imaging informatics in medicine (2024)
Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology 45 (4) (2024)
Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile 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 Krupinski, Shahriar Faghani
Checklist for Reproducibility of Deep Learning in Medical Imaging. Journal of imaging informatics in medicine 37 (4) (2024)
Shahriar Faghani, Cooper Gamble, Bradley J Erickson
Uncover This Tech Term: Uncertainty Quantification for Deep Learning. Korean journal of radiology 25 (4) (2024)
Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology 45 (4) (2024)
Shahriar Faghani, Bradley J Erickson
Bone Age Prediction under Stress. Radiology. Artificial intelligence 6 (3) (2024)
Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology 45 (4) (2024)
Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile 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 Krupinski, Shahriar Faghani
Checklist for Reproducibility of Deep Learning in Medical Imaging. Journal of imaging informatics in medicine 37 (4) (2024)
Mana Moassefi, Yashbir Singh, Gian Marco Conte, Bardia Khosravi, Pouria Rouzrokh, Sanaz Vahdati, Nabile 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 Krupinski, Shahriar Faghani
Checklist for Reproducibility of Deep Learning in Medical Imaging. Journal of imaging informatics in medicine 37 (4) (2024)
Shahriar Faghani, Cooper Gamble, Bradley J Erickson
Uncover This Tech Term: Uncertainty Quantification for Deep Learning. Korean journal of radiology 25 (4) (2024)
Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology (2024)
Shahriar Faghani, Mana Moassefi, Ajay A Madhavan, Ian T Mark, Jared T Verdoorn, Bradley J Erickson, John C Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach. AJNR. American journal of neuroradiology 45 (4) (2024)
Shahriar Faghani, Cooper Gamble, Bradley J Erickson
Uncover This Tech Term: Uncertainty Quantification for Deep Learning. Korean journal of radiology 25 (4) (2024)
Shahriar Faghani, Cooper Gamble, Bradley J Erickson
Uncover This Tech Term: Uncertainty Quantification for Deep Learning. Korean journal of radiology 25 (4) (2024)
Shahriar Faghani, Mana Moassefi, Pouria Rouzrokh, Bardia Khosravi, Francis I Baffour, Michael D Ringler, Bradley J Erickson
Quantifying Uncertainty in Deep Learning of Radiologic Images. Radiology 308 (2) (2023)
Manob Jyoti Saikia, Shiba Kuanar, Dwarikanath Mahapatra, Shahriar Faghani
Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing. Bioengineering (Basel, Switzerland) 11 (1) (2023)
Manob Jyoti Saikia, Shiba Kuanar, Dwarikanath Mahapatra, Shahriar Faghani
Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing. Bioengineering (Basel, Switzerland) 11 (1) (2023)
Mana Moassefi, Pouria Rouzrokh, Gian Marco Conte, Sanaz Vahdati, Tianyuan Fu, Aylin Tahmasebi, Mira Younis, Keyvan Farahani, Amilcare Gentili, Timothy Kline, Felipe C Kitamura, Yuankai Huo, Shiba Kuanar, Khaled Younis, Bradley J Erickson, Shahriar Faghani
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. Journal of digital imaging (2023)
Manob Jyoti Saikia, Shiba Kuanar, Dwarikanath Mahapatra, Shahriar Faghani
Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-Typing. Bioengineering (Basel, Switzerland) 11 (1) (2023)
Amir Valizadeh, Mana Moassefi, Amin Nakhostin-Ansari, Soheil Heidari Some'eh, Seyed Hossein Hosseini-Asl, Mehrnush Saghab Torbati, Reyhaneh Aghajani, Zahra Maleki Ghorbani, Iman Menbari Oskouie, Faezeh Aghajani, Alireza Mirzamohamadi, Mohammad Ghafouri, Shahriar Faghani, Amir Hossein Memari
Automated diagnosis of autism with artificial intelligence: State of the art. Reviews in the neurosciences (2023)
Pouria Rouzrokh, Bradley J Erickson, Quinn J Johnson, Shahriar Faghani, Diana V Vera Garcia, Bradley J Erickson, Hilal Maradit-Kremers, Michael J Taunton, Cody C Wyles
Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry: A Stepwise Approach. The Journal of bone and joint surgery. American volume 104 (18) (2022)
Shahriar Faghani, Bardia Khosravi, Kuan Zhang, Mana Moassefi, Jaidip Manikrao Jagtap, Fred Nugen, Sanaz Vahdati, Shiba P Kuanar, Seyed Moein Rassoulinejad-Mousavi, Yashbir Singh, Diana V Vera Garcia, Pouria Rouzrokh, Bradley J Erickson
Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics. Radiology. Artificial intelligence 4 (5) (2022)
Bardia Khosravi, Pouria Rouzrokh, Hilal Maradit-Kremers, Dirk R Larson, Quinn J Johnson, Shahriar Faghani, Walter K Kremers, Bradley J Erickson, Rafael J Sierra, Michael J Taunton, Cody C Wyles
Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning-based Approach. Radiology. Artificial intelligence 4 (6) (2022)
Bardia Khosravi, Pouria Rouzrokh, Hilal Maradit-Kremers, Dirk R Larson, Quinn J Johnson, Shahriar Faghani, Walter K Kremers, Bradley J Erickson, Rafael J Sierra, Michael J Taunton, Cody C Wyles
Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning-based Approach. Radiology. Artificial intelligence 4 (6) (2022)
Bardia Khosravi, Pouria Rouzrokh, Hilal Maradit-Kremers, Dirk R Larson, Quinn J Johnson, Shahriar Faghani, Walter K Kremers, Bradley J Erickson, Rafael J Sierra, Michael J Taunton, Cody C Wyles
Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning-based Approach. Radiology. Artificial intelligence 4 (6) (2022)
Kuan Zhang, Bardia Khosravi, Sanaz Vahdati, Shahriar Faghani, Fred Nugen, Seyed Moein Rassoulinejad-Mousavi, Mana Moassefi, Jaidip Manikrao M Jagtap, Yashbir Singh, Pouria Rouzrokh, Bradley J Erickson
Mitigating Bias in Radiology Machine Learning: 2. Model Development. Radiology. Artificial intelligence 4 (5) (2022)
Bardia Khosravi, Pouria Rouzrokh, Shahriar Faghani, Mana Moassefi, Sanaz Vahdati, Elham Mahmoudi, Hamid Chalian, Bradley J Erickson
Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review. Diagnostics (Basel, Switzerland) 12 (10) (2022)