| Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction H Shan, A Padole, F Homayounieh, U Kruger, RD Khera, C Nitiwarangkul, ... Nature Machine Intelligence 1 (6), 269-276, 2019 | 369 | 2019 |
| Deep learning in chest radiography: detection of findings and presence of change R Singh, MK Kalra, C Nitiwarangkul, JA Patti, F Homayounieh, A Padole, ... PloS one 13 (10), e0204155, 2018 | 197 | 2018 |
| Chest CT practice and protocols for COVID-19 from radiation dose management perspective MK Kalra, F Homayounieh, C Arru, O Holmberg, J Vassileva European Radiology 30, 6554-6560, 2020 | 110 | 2020 |
| Variations in CT utilization, protocols, and radiation doses in COVID-19 pneumonia: results from 28 countries in the IAEA study F Homayounieh, O Holmberg, RA Umairi, S Aly, A Basevičius, PR Costa, ... Radiology 298 (3), E141-E151, 2021 | 78 | 2021 |
| Integrative analysis for COVID-19 patient outcome prediction H Chao, X Fang, J Zhang, F Homayounieh, CD Arru, SR Digumarthy, ... Medical image analysis 67, 101844, 2021 | 76 | 2021 |
| Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography H Chao, H Shan, F Homayounieh, R Singh, RD Khera, H Guo, T Su, ... Nature Communications 12 (1), 2963, 2021 | 66 | 2021 |
| An artificial intelligence–based chest X-ray model on human nodule detection accuracy from a multicenter study F Homayounieh, S Digumarthy, S Ebrahimian, J Rueckel, BF Hoppe, ... JAMA Network Open 4 (12), e2141096-e2141096, 2021 | 59 | 2021 |
| CT radiomics, radiologists, and clinical information in predicting outcome of patients with COVID-19 pneumonia F Homayounieh, S Ebrahimian, R Babaei, HK Mobin, E Zhang, BC Bizzo, ... Radiology: Cardiothoracic Imaging 2 (4), e200322, 2020 | 59 | 2020 |
| CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images T Javaheri, M Homayounfar, Z Amoozgar, R Reiazi, F Homayounieh, ... NPJ digital medicine 4 (1), 29, 2021 | 57 | 2021 |
| Covidctnet: An open-source deep learning approach to identify covid-19 using ct image T Javaheri, M Homayounfar, Z Amoozgar, R Reiazi, F Homayounieh, ... arXiv preprint arXiv:2005.03059, 2020 | 57 | 2020 |
| Complications in COVID-19 patients: Characteristics of pulmonary embolism R Cau, A Pacielli, H Fatemeh, P Vaudano, C Arru, P Crivelli, G Stranieri, ... Clinical Imaging 77, 244-249, 2021 | 42 | 2021 |
| Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study S Ebrahimian, F Homayounieh, MABC Rockenbach, P Putha, T Raj, ... Scientific Reports 11 (1), 858, 2021 | 38 | 2021 |
| Semiautomatic segmentation and radiomics for dual-energy CT: a pilot study to differentiate benign and malignant hepatic lesions F Homayounieh, R Singh, C Nitiwarangkul, F Lades, B Schmidt, ... American Journal of Roentgenology 215 (2), 398-405, 2020 | 38 | 2020 |
| Clinical and imaging features predict mortality in COVID-19 infection in Iran F Homayounieh, EW Zhang, R Babaei, H Karimi Mobin, M Sharifian, ... Plos one 15 (9), e0239519, 2020 | 37 | 2020 |
| Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels D Wu, K Gong, CD Arru, F Homayounieh, B Bizzo, V Buch, H Ren, K Kim, ... IEEE Journal of Biomedical and Health Informatics 24 (12), 3529-3538, 2020 | 36 | 2020 |
| A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records K Gong, D Wu, CD Arru, F Homayounieh, N Neumark, J Guan, V Buch, ... European journal of radiology 139, 109583, 2021 | 32 | 2021 |
| Association of AI quantified COVID-19 chest CT and patient outcome X Fang, U Kruger, F Homayounieh, H Chao, J Zhang, SR Digumarthy, ... International journal of computer assisted radiology and surgery 16, 435-445, 2021 | 29 | 2021 |
| CT protocols and radiation doses for hematuria and urinary stones: Comparing practices in 20 countries V Gershan, F Homayounieh, R Singh, S Avramova-Cholakova, D Faj, ... European journal of radiology 126, 108923, 2020 | 21 | 2020 |
| Computed tomography radiomics can predict disease severity and outcome in coronavirus disease 2019 pneumonia F Homayounieh, R Babaei, HK Mobin, CD Arru, M Sharifian, I Mohseni, ... Journal of computer assisted tomography 44 (5), 640-646, 2020 | 20 | 2020 |
| Artificial intelligence-based vessel suppression for detection of sub-solid nodules in lung cancer screening computed tomography R Singh, MK Kalra, F Homayounieh, C Nitiwarangkul, S McDermott, ... Quantitative Imaging in Medicine and Surgery 11 (4), 1134, 2021 | 19 | 2021 |
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