Development of metaverse for intelligent healthcare G Wang, A Badal, X Jia, JS Maltz, K Mueller, KJ Myers, C Niu, M Vannier, ... Nature Machine Intelligence 4 (11), 922-929, 2022 | 237 | 2022 |
Evaluation of digital breast tomosynthesis as replacement of full-field digital mammography using an in silico imaging trial A Badano, CG Graff, A Badal, D Sharma, R Zeng, FW Samuelson, ... JAMA network open 1 (7), e185474-e185474, 2018 | 218 | 2018 |
Objective assessment of image quality and dose reduction in CT iterative reconstruction JY Vaishnav, WC Jung, LM Popescu, R Zeng, KJ Myers Medical physics 41 (7), 071904, 2014 | 135 | 2014 |
Estimating 3-D respiratory motion from orbiting views by tomographic image registration R Zeng, JA Fessler, JM Balter IEEE transactions on medical imaging 26 (2), 153-163, 2007 | 125 | 2007 |
Respiratory motion estimation from slowly rotating x‐ray projections: Theory and simulation R Zeng, JA Fessler, JM Balter Medical physics 32 (4), 984-991, 2005 | 83 | 2005 |
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom MA Gavrielides, LM Kinnard, KJ Myers, J Peregoy, WF Pritchard, R Zeng, ... Optics express 18 (14), 15244-15255, 2010 | 78 | 2010 |
Evaluating the sensitivity of the optimization of acquisition geometry to the choice of reconstruction algorithm in digital breast tomosynthesis through a simulation study R Zeng, S Park, P Bakic, KJ Myers Physics in Medicine & Biology 60 (3), 1259, 2015 | 54 | 2015 |
Mammography and breast tomosynthesis simulator for virtual clinical trials A Badal, D Sharma, CG Graff, R Zeng, A Badano Computer Physics Communications 261, 107779, 2021 | 50 | 2021 |
Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom images N Petrick, HJG Kim, D Clunie, K Borradaile, R Ford, R Zeng, ... Academic radiology 21 (1), 30-40, 2014 | 50 | 2014 |
Iterative sorting for four‐dimensional CT images based on internal anatomy motion R Zeng, JA Fessler, JM Balter, PA Balter Medical physics 35 (3), 917-926, 2008 | 45 | 2008 |
In silico imaging clinical trials for regulatory evaluation: initial considerations for VICTRE, a demonstration study A Badano, A Badal, S Glick, CG Graff, F Samuelson, D Sharma, R Zeng Medical Imaging 2017: Physics of Medical Imaging 10132, 494-499, 2017 | 43 | 2017 |
Information-theoretic approach for analyzing bias and variance in lung nodule size estimation with CT: a phantom study MA Gavrielides, R Zeng, LM Kinnard, KJ Myers, N Petrick IEEE transactions on medical imaging 29 (10), 1795-1807, 2010 | 43 | 2010 |
Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume MA Gavrielides, R Zeng, KJ Myers, B Sahiner, N Petrick Academic Radiology 20 (2), 173-180, 2013 | 39 | 2013 |
In silico imaging tools from the VICTRE clinical trial D Sharma, CG Graff, A Badal, R Zeng, P Sawant, A Sengupta, E Dahal, ... Medical physics 46 (9), 3924-3928, 2019 | 38 | 2019 |
Optimization of digital breast tomosynthesis (DBT) acquisition parameters for human observers: effect of reconstruction algorithms R Zeng, A Badano, KJ Myers Physics in Medicine & Biology 62 (7), 2598, 2017 | 32 | 2017 |
Statistical analysis of lung nodule volume measurements with CT in a large‐scale phantom study Q Li, MA Gavrielides, B Sahiner, KJ Myers, R Zeng, N Petrick Medical physics 42 (7), 3932-3947, 2015 | 32 | 2015 |
Assessing the ability of generative adversarial networks to learn canonical medical image statistics VA Kelkar, DS Gotsis, FJ Brooks, KC Prabhat, KJ Myers, R Zeng, ... IEEE transactions on medical imaging 42 (6), 1799-1808, 2023 | 28 | 2023 |
Deep neural networks-based denoising models for CT imaging and their efficacy KC Prabhat, R Zeng, MM Farhangi, KJ Myers Medical Imaging 2021: Physics of Medical Imaging 11595, 105-117, 2021 | 26 | 2021 |
Minimum detectable change in lung nodule volume in a phantom CT study MA Gavrielides, Q Li, R Zeng, KJ Myers, B Sahiner, N Petrick Academic radiology 20 (11), 1364-1370, 2013 | 26 | 2013 |
Performance of a deep learning‐based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness R Zeng, CY Lin, Q Li, L Jiang, M Skopec, JA Fessler, KJ Myers Medical physics 49 (2), 836-853, 2022 | 25 | 2022 |