Photon‐counting CT for simultaneous imaging of multiple contrast agents in the abdomen: An in vivo study R Symons, B Krauss, P Sahbaee, TE Cork, MN Lakshmanan, ... Medical physics 44 (10), 5120-5127, 2017 | 218 | 2017 |
Low-dose lung cancer screening with photon-counting CT: a feasibility study R Symons, TE Cork, P Sahbaee, MK Fuld, S Kappler, LR Folio, ... Physics in Medicine & Biology 62 (1), 202, 2016 | 112 | 2016 |
Automated detection of lung nodules and coronary artery calcium using artificial intelligence on low-dose CT scans for lung cancer screening: accuracy and prognostic value J Chamberlin, MR Kocher, J Waltz, M Snoddy, NFC Stringer, ... BMC medicine 19, 1-14, 2021 | 97 | 2021 |
The effect of contrast material on radiation dose at CT: part II. A systematic evaluation across 58 patient models P Sahbaee, E Abadi, WP Segars, D Marin, RC Nelson, E Samei Radiology 283 (3), 749-757, 2017 | 90 | 2017 |
Patient‐based estimation of organ dose for a population of 58 adult patients across 13 protocol categories P Sahbaee, WP Segars, E Samei Medical physics 41 (7), 072104, 2014 | 82 | 2014 |
Evaluation of a deep learning–based automated CT coronary artery calcium scoring algorithm SS Martin, M van Assen, S Rapaka, HT Hudson Jr, AM Fischer, ... Cardiovascular Imaging 13 (2_Part_1), 524-526, 2020 | 64 | 2020 |
Comparison of low dose performance of photon-counting and energy integrating CT JR Rajagopal, F Farhadi, J Solomon, P Sahbaee, B Saboury, ... Academic radiology 28 (12), 1754-1760, 2021 | 63 | 2021 |
Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease M Van Assen, CN De Cecco, M Eid, P von Knebel Doeberitz, ... Journal of cardiovascular computed tomography 13 (3), 26-33, 2019 | 60 | 2019 |
Accuracy of an artificial intelligence deep learning algorithm implementing a recurrent neural network with long short-term memory for the automated detection of calcified … AM Fischer, M Eid, CN De Cecco, MA Gulsun, M Van Assen, JW Nance, ... Journal of thoracic imaging 35, S49-S57, 2020 | 55 | 2020 |
Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: a validation study M van Assen, SS Martin, A Varga-Szemes, S Rapaka, S Cimen, P Sharma, ... European journal of radiology 134, 109428, 2021 | 53 | 2021 |
Artificial intelligence-based fully automated per lobe segmentation and emphysema-quantification based on chest computed tomography compared with global initiative for chronic … AM Fischer, A Varga-Szemes, SS Martin, JI Sperl, P Sahbaee, ... Journal of Thoracic Imaging 35, S28-S34, 2020 | 53 | 2020 |
The effect of contrast material on radiation dose at CT: Part I. Incorporation of contrast material dynamics in anthropomorphic phantoms P Sahbaee, WP Segars, D Marin, RC Nelson, E Samei Radiology 283 (3), 739-748, 2017 | 53 | 2017 |
Evaluation of coronary plaques and stents with conventional and photon-counting CT: benefits of high-resolution photon-counting CT JR Rajagopal, F Farhadi, T Richards, M Nikpanah, P Sahbaee, ... Radiology: Cardiothoracic Imaging 3 (5), e210102, 2021 | 48 | 2021 |
First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging LP Liu, N Shapira, AA Chen, RT Shinohara, P Sahbaee, M Schnall, HI Litt, ... European radiology 32 (12), 8579-8587, 2022 | 43 | 2022 |
Comparison of artificial intelligence–based fully automatic chest CT emphysema quantification to pulmonary function testing AM Fischer, A Varga-Szemes, M van Assen, LP Griffith, P Sahbaee, ... American Journal of Roentgenology 214 (5), 1065-1071, 2020 | 41 | 2020 |
Deep learning to convert unstructured CT pulmonary angiography reports into structured reports A Spandorfer, C Branch, P Sharma, P Sahbaee, UJ Schoepf, JG Ravenel, ... European radiology experimental 3, 1-8, 2019 | 36 | 2019 |
Feasibility of extracellular volume quantification using dual-energy CT M van Assen, CN De Cecco, P Sahbaee, MH Eid, LP Griffith, MJ Bauer, ... Journal of Cardiovascular Computed Tomography 13 (1), 81-84, 2019 | 35 | 2019 |
Review of technical advancements and clinical applications of photon-counting computed tomography in imaging of the thorax F Farhadi, JR Rajagopal, M Nikpanah, P Sahbaee, AA Malayeri, ... Journal of Thoracic Imaging 36 (2), 84-94, 2021 | 29 | 2021 |
Diagnostic accuracy and performance of artificial intelligence in detecting lung nodules in patients with complex lung disease: a noninferiority study AF Abadia, B Yacoub, N Stringer, M Snoddy, M Kocher, UJ Schoepf, ... Journal of thoracic imaging 37 (3), 154-161, 2022 | 28 | 2022 |
Machine learning and coronary artery calcium scoring UJS Lee, Heon, Simon Martin, Jeremy R. Burt, Pooyan Sahbaee Bagherzadeh ... Current Cardiology Reports 22, 2020 | 28 | 2020 |