| 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 | 346 | 2019 |
| Patients undergoing recurrent CT exams: assessment of patients with non-malignant diseases, reasons for imaging and imaging appropriateness MM Rehani, ER Melick, RM Alvi, R Doda Khera, S Batool-Anwar, ... European radiology 30, 1839-1846, 2020 | 70 | 2020 |
| 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 | 58 | 2021 |
| AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset H Yoo, SH Lee, CD Arru, R Doda Khera, R Singh, S Siebert, D Kim, Y Lee, ... European Radiology 31 (12), 9664-9674, 2021 | 50 | 2021 |
| Deep learning-enabled system for rapid pneumothorax screening on chest CT X Li, JH Thrall, SR Digumarthy, MK Kalra, PV Pandharipande, B Zhang, ... European journal of radiology 120, 108692, 2019 | 45 | 2019 |
| Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study F Homayounieh, R Doda Khera, BC Bizzo, S Ebrahimian, A Primak, ... Abdominal Radiology 46, 2097-2106, 2021 | 17 | 2021 |
| Can dual-energy computed tomography quantitative analysis and radiomics differentiate normal liver from hepatic steatosis and cirrhosis? RD Khera, F Homayounieh, F Lades, B Schmidt, M Sedlmair, A Primak, ... Journal of computer assisted tomography 44 (2), 223-229, 2020 | 17 | 2020 |
| Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT F Homayounieh, S Saini, L Mostafavi, R Doda Khera, M Sühling, ... International journal of computer assisted radiology and surgery 15, 1727-1736, 2020 | 14 | 2020 |
| Multicenter assessment of CT pneumonia analysis prototype for predicting disease severity and patient outcome F Homayounieh, MA Bezerra Cavalcanti Rockenbach, S Ebrahimian, ... Journal of Digital Imaging 34, 320-329, 2021 | 12 | 2021 |
| Can deep learning outperform modern commercial CT image reconstruction methods? H Shan, A Padole, F Homayounieh, U Kruger, RD Khera, C Nitiwarangkul, ... arXiv preprint arXiv:1811.03691, 2018 | 12 | 2018 |
| Can fully iterative reconstruction technique enable routine abdominal CT at less than 1 mSv? A Tabari, R Singh, RD Khera, Y Hoi, E Angel, MK Kalra, R Madan European Journal of Radiology Open 6, 225-230, 2019 | 10 | 2019 |
| Deploying clinical process improvement strategies to reduce motion artifacts and expiratory phase scanning in chest CT R Doda Khera, R Singh, F Homayounieh, E Stone, T Redel, CA Savage, ... Scientific Reports 9 (1), 11858, 2019 | 9 | 2019 |
| Breast cancer detection in Qatar: evaluation of mammography image quality using a standardized assessment tool AK Narayan, H Al-Naemi, A Aly, MH Kharita, RD Khera, M Hajaj, ... European journal of breast health 16 (2), 124, 2020 | 8 | 2020 |
| Comparison of Baseline, Bone-Subtracted, and Edge-Enhanced Chest Radiographs for Detection of Pneumothorax F Homayounieh, MD Gilman, C Nitiwarangkul, R Singh, R Doda Khera, ... Radiological Society of North America (RSNA) 2019 Scientific Assembly and …, 2019 | 6 | 2019 |
| Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nat Mach Intell 1 (6): 269–276 H Shan, A Padole, F Homayounieh, U Kruger, RD Khera, C Nitiwarangkul, ... | 5 | 2019 |
| Competitive performance of a modularized deep neural network compared to commercial algorithms for low‑dose CT image reconstruction. Nat Mach Intell [Internet]. 2019; 1: 269–76 H Shan, A Padole, F Homayounieh, U Kruger, RD Khera, ... Article, 0 | 5 | |
| Multi-platform, non-breath-hold fast scanning protocols: Should we stop giving breath-hold instructions for routine chest CT? R Doda Khera, C Nitiwarangkul, F Homayounieh, R Singh, S Digumarthy, ... European Congress of Radiology (ECR) 2020 Scientific Assembly and Annual …, 2020 | 3 | 2020 |
| Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nature Machine Intelligence 1, 6 (2019 … H Shan, A Padole, F Homayounieh, U Kruger, RD Khera, C Nitiwarangkul, ... | 2 | 2019 |
| ED MRI: Safety, Consent, and Regulatory Considerations RD Khera, JA Hirsch, K Buch, S Saini Magnetic Resonance Imaging Clinics 30 (3), 553-563, 2022 | 1 | 2022 |
| Re: Prediction of Burden and Management of Renal Calculi from Whole Kidney Radiomics: A Multicenter Study F Homayounieh, RD Khera, BC Bizzo, S Ebrahimian, A Primak, B Schmidt, ... JOURNAL OF UROLOGY 205 (6), 1818-1818, 2021 | 1 | 2021 |
Fatemeh Homayounieh, M.D.Postdoc Research Fellow, National Institute of HealthVerified email at nih.gov
