| spektr 3.0—A computational tool for x‐ray spectrum modeling and analysis J Punnoose, J Xu, A Sisniega, W Zbijewski, JH Siewerdsen Medical physics 43 (8Part1), 4711-4717, 2016 | 290 | 2016 |
| Monte Carlo study of the effects of system geometry and antiscatter grids on cone‐beam CT scatter distributions A Sisniega, W Zbijewski, A Badal, IS Kyprianou, JW Stayman, JJ Vaquero, ... Medical physics 40 (5), 051915, 2013 | 156 | 2013 |
| High-fidelity artifact correction for cone-beam CT imaging of the brain A Sisniega, W Zbijewski, J Xu, H Dang, JW Stayman, J Yorkston, N Aygun, ... Physics in Medicine & Biology 60 (4), 1415, 2015 | 111 | 2015 |
| Motion compensation in extremity cone-beam CT using a penalized image sharpness criterion A Sisniega, J Stayman, J Yorkston, J Siewerdsen, W Zbijewski Physics in medicine and biology 62 (9), 2017 | 96 | 2017 |
| Software architecture for multi-bed FDK-based reconstruction in X-ray CT scanners M Abella, JJ Vaquero, A Sisniega, J Pascau, Á Udías, V García, I Vidal, ... Computer methods and programs in biomedicine 107 (2), 218-232, 2012 | 75 | 2012 |
| Assessment of a new high-performance small-animal X-ray tomograph JJ Vaquero, S Redondo, E Lage, M Abella, A Sisniega, G Tapias, ... IEEE transactions on nuclear science 55 (3), 898-905, 2008 | 74 | 2008 |
| Design and performance evaluation of a coplanar multimodality scanner for rodent imaging E Lage, JJ Vaquero, A Sisniega, S España, G Tapias, M Abella, ... Physics in Medicine & Biology 54 (18), 5427, 2009 | 56 | 2009 |
| Penalized-likelihood reconstruction with high-fidelity measurement models for high-resolution cone-beam imaging S Tilley, M Jacobson, Q Cao, M Brehler, A Sisniega, W Zbijewski, ... IEEE transactions on medical imaging 37 (4), 988-999, 2017 | 47 | 2017 |
| Split operator method for fluorescence diffuse optical tomography using anisotropic diffusion regularisation with prior anatomical information T Correia, J Aguirre, A Sisniega, J Chamorro-Servent, J Abascal, ... Biomedical optics express 2 (9), 2632-2648, 2011 | 46 | 2011 |
| Statistical reconstruction for cone-beam CT with a post-artifact-correction noise model: application to high-quality head imaging H Dang, JW Stayman, A Sisniega, J Xu, W Zbijewski, X Wang, DH Foos, ... Physics in Medicine & Biology 60 (16), 6153, 2015 | 44 | 2015 |
| C-arm orbits for metal artifact avoidance (MAA) in cone-beam CT P Wu, N Sheth, A Sisniega, A Uneri, R Han, R Vijayan, P Vagdargi, ... Physics in Medicine & Biology 65 (16), 165012, 2020 | 41 | 2020 |
| Multiresolution iterative reconstruction in high-resolution extremity cone-beam CT Q Cao, W Zbijewski, A Sisniega, J Yorkston, JH Siewerdsen, JW Stayman Physics in Medicine & Biology 61 (20), 7263, 2016 | 37 | 2016 |
| Cone‐beam CT for imaging of the head/brain: development and assessment of scanner prototype and reconstruction algorithms P Wu, A Sisniega, JW Stayman, W Zbijewski, D Foos, X Wang, N Khanna, ... Medical physics 47 (6), 2392-2407, 2020 | 35 | 2020 |
| Modeling and evaluation of a high‐resolution CMOS detector for cone‐beam CT of the extremities Q Cao, A Sisniega, M Brehler, JW Stayman, J Yorkston, JH Siewerdsen, ... Medical physics 45 (1), 114-130, 2018 | 34 | 2018 |
| Modeling and design of a cone-beam CT head scanner using task-based imaging performance optimization J Xu, A Sisniega, W Zbijewski, H Dang, JW Stayman, X Wang, DH Foos, ... Physics in Medicine & Biology 61 (8), 3180, 2016 | 34 | 2016 |
| Technical assessment of a prototype cone‐beam CT system for imaging of acute intracranial hemorrhage J Xu, A Sisniega, W Zbijewski, H Dang, JW Stayman, M Mow, X Wang, ... Medical physics 43 (10), 5745-5757, 2016 | 33 | 2016 |
| Computed tomography: state-of-the-art advancements in musculoskeletal imaging HA Ibad, C de Cesar Netto, D Shakoor, A Sisniega, SZ Liu, ... Investigative radiology 58 (1), 99-110, 2023 | 31 | 2023 |
| Bismuth labeling for the CT assessment of local administration of magnetic nanoparticles S Veintemillas-Verdaguer, Y Luengo, CJ Serna, M Andrés-Vergés, ... Nanotechnology 26 (13), 135101, 2015 | 28 | 2015 |
| Using uncertainty in deep learning reconstruction for cone-beam CT of the brain P Wu, A Sisniega, A Uneri, R Han, C Jones, P Vagdargi, X Zhang, ... arXiv preprint arXiv:2108.09229, 2021 | 27 | 2021 |
| Deformable motion compensation for interventional cone-beam CT S Capostagno, A Sisniega, JW Stayman, T Ehtiati, CR Weiss, ... Physics in Medicine & Biology 66 (5), 055010, 2021 | 26 | 2021 |
Jeff SiewerdsenProfessor of Imaging Physics, The University of Texas MD Anderson Cancer CenterEmail yang diverifikasi di mdanderson.org