Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? - Hongming Shan; Atul Padole; Fatemeh Homayounieh; Uwe Krüger 001; Ruhani Doda Khera; Chayanin Nitiwarangkul; Mannudeep K. Kalra; Ge Wang 001 (CoRR, 2018)

Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. - Hongming Shan; Atul Padole; Fatemeh Homayounieh; Uwe Kruger 001; Ruhani Doda Khera; Chayanin Nitiwarangkul; Mannudeep K. Kalra; Ge Wang 001 (Nat. Mach. Intell., 2019)

Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT. - Fatemeh Homayounieh; Sanjay Saini; Leila Mostafavi; Ruhani Doda Khera; Michael Sühling; Bernhard Schmidt; Ramandeep Singh; Thomas Flohr 001; Mannudeep K. Kalra (Int. J. Comput. Assist. Radiol. Surg., 2020)

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image. - Tahereh Javaheri; Morteza Homayounfar; Zohreh Amoozgar; Reza Reiazi; Fatemeh Homayounieh; Engy Abbas; Azadeh Laali; Amir Reza Radmard; Mohammad Hadi Gharib; Seyed Ali Javad Mousavi; Omid Ghaemi; Rosa Babaei; et al. (CoRR, 2020)

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. - Hanqing Chao; Hongming Shan; Fatemeh Homayounieh; Ramandeep Singh; Ruhani Doda Khera; Hengtao Guo; Timothy Su; Ge Wang 001; Mannudeep K. Kalra; Pingkun Yan (CoRR, 2020)

Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. - Fatemeh Homayounieh; Ramandeep Singh; Tianqi Chen; Ellen J. Sugarman; Thomas J. Schultz; Subba R. Digumarthy; Keith J. Dreyer; Mannudeep K. Kalra (J. Digit. Imaging, 2020)

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. - Dufan Wu; Kuang Gong; Chiara Daniela Arru; Fatemeh Homayounieh; Bernardo Bizzo; Varun Buch; Hui Ren 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. - Diego Machado Reyes; Hanqing Chao; Fatemeh Homayounieh; Juergen Hahn; Mannudeep K. Kalra; Pingkun Yan (MLMI@MICCAI, 2021)

Association of AI quantified COVID-19 chest CT and patient outcome. - Xi Fang 002; Uwe Kruger 001; Fatemeh Homayounieh; Hanqing Chao; Jiajin Zhang; Subba R. Digumarthy; Chiara Daniela Arru; Mannudeep K. Kalra; Pingkun Yan (Int. J. Comput. Assist. Radiol. Surg., 2021)

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. - Fatemeh Homayounieh; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Shadi Ebrahimian; Ruhani Doda Khera; Bernardo C. Bizzo; Varun Buch; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Matthias Mitschke; Mathis Zimmermann; Felix Durlak; et al. (J. Digit. Imaging, 2021)

Integrative analysis for COVID-19 patient outcome prediction. - Hanqing Chao; Xi Fang 002; Jiajin Zhang; Fatemeh Homayounieh; Chiara Daniela Arru; Subba R. Digumarthy; Rosa Babaei; Hadi Karimi Mobin; Iman Mohseni; Luca Saba; Alessandro Carriero; Zeno Falaschi; et al. (Medical Image Anal., 2021)

CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. - Tahereh Javaheri; Morteza Homayounfar; Zohreh Amoozgar; Reza Reiazi; Fatemeh Homayounieh; Engy Abbas; Azadeh Laali; Amir Reza Radmard; Mohammad Hadi Gharib; Seyed Ali Javad Mousavi; Omid Ghaemi; Rosa Babaei; et al. (npj Digit. Medicine, 2021)

Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging. - Pouria Yazdian Anari; Fiona Obiezu; Nathan Lay; Fatemeh Dehghani Firouzabadi; Aditi Chaurasia; Mahshid Golagha; Shiva Singh; Fatemeh Homayounieh; Aryan Zahergivar; Stephanie A. Harmon; Evrim Turkbey; Rabindra Gautam; et al. (CoRR, 2024)