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  • Wagner F et al. Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy In: Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2022. Informatik aktuell. (Springer Vieweg, Wiesbaden); https://doi.org/10.1007/978-3-658-36932-3_22

  • Yin Y, Physical dosimetric reconstruction of a case of large area back skin injury due to overexposure in an interventional procedure, Rad Med Prot. 2022;3(1);3-8; https://doi.org/10.1016/j.radmp.2022.02.001

  • van der Heyden B, Roden S, Dok R et al., Virtual monoenergetic micro-CT imaging in mice with artificial intelligence, Sci Rep 2022;12:2324; https://doi.org/10.1038/s41598-022-06172-0.

  • Healy BJ and Hill RF Use of calculations to validate beam quality and relative dose measurements for a kilovoltage X-ray therapy unit, Phys Eng Sci Med 2022; https://doi.org/10.1007/s13246-022-01120-8

  • Poludniowski G, et al. Technical Note: SpekPy v2.0—a software toolkit for modeling x-ray tube spectra, Med Phys. 2021; https://doi.org/10.1002/mp.14945.

  • Siller M, et al. Geometrical model for calculating the effect of surface morphology on total x-ray output of medical x-ray tubes, Medical Physics 2021;48(4):1546-1556.

  • Ryan D F, et al. Source-specific perforated attenuators for use with pixelated spectroscopic X-ray detectors, UV, X-Ray, and Gamma-Ray Space Instrumentation for Astronomy XXII. Vol. 11821. SPIE, 2021.

  • Schultheiss M, et al. Per-Pixel Lung Thickness and Lung Capacity Estimation on Chest X-Rays using Convolutional Neural Networks, arXiv preprint arXiv 2021:2110.12509.

  • Zeeger, M T, et al. ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography, arXiv preprint arXiv 2021:2112.11406.

  • Ståhl F, et al. Performance characterization of a prototype dual‐layer cone‐beam computed tomography system, Medical Physics 2021;48(11):6740-6754.

  • Zhou Q, et al. Highly efficient copper halide scintillators for high-performance and dynamic X-ray imaging, Nanoscale 2021;13(47): 19894-19902.

  • Clements N, et al. Multi-contrast CT imaging using a high energy resolution CdTe detector and a CZT photon-counting detector, Journal of Instrumentation 2022;17(01):P01004.

  • Di Ruzza B Possibility of Total Ionizing Dose Effects measurements for LHC experiments elements in a medical facility: the TIFPA-INFN experience, The Ninth Annual Conference on Large Hadron Collider Physics, 2021.

  • Kim J-H, Shin EH, Spatial Dose Distribution for C-arm Examination within Operation Room Using Monte Carlo Method, Journal of Radiological Science and Technology 2021;44(3), 205–210. https://doi.org/10.17946/JRST.2021.44.3.205

  • Chen K, Ren J, Zhao C, Liao F, Yuan D, Lei L, Zhao Y, High-sensitivity fiber-optic X-ray detectors employing gadolinium oxysulfide composites, Opt Express. 2021;29(14):22578-22592. doi: 10.1364/OE.431770.

  • Quénot L, Brun E, Létang JM, Langer M, Evaluation of simulators for x-ray speckle-based phase contrast imaging, Phys Med Biol. 2021;66(17). doi: 10.1088/1361-6560/ac1f38.

  • S Ketelhut, L Büermann and G Hilgers, Catalog of x-ray spectra of Mo-, Rh-, and W-anode-based x-ray tubes from 10 to 50 kV, Phys Med Biol. 2021: 66:115013

  • J Andersson, DR Bednarek, W Bolch, T Boltz, H Bosmans, AJ Gislason-Lee, C Granberg, M Hellstrom, K Kanal, E McDonagh, R Paden, W Pavlicek, Y Khodadadegan, A Torresin, A Trianni, D Zamora, Estimation of patient skin dose in fluoroscopy: summary of a joint report by AAPM TG357 and EFOMP, Med Phys. 2021; https://doi.org/10.1002/mp.14910

  • SB Crowe, PH Charles, N Cassim, SK Maxwell, SR Sylvander, JG Smith, T Kairn, Predicting the required thickness of custom shielding materials in kilovoltage radiotherapy beams, Phys Med. 2021; 81:94-101.

  • P FitzGerald, S Araujo, M Wu, B De Man, Semi-empirical, parametrized spectrum estimation for X-ray computed tomography, Med Phys. 2021; doi: 10.1002/mp.14715.

  • G Poludniowski and M Whitaker, Chapter 6: Integration with other programming languages and environments (in Diagnostic Radiology Physics with MATLAB) ed J Helmenkamp, R Bujila and G Poludniowski (Boca Raton, FL: CRC Press, 2020).

  • R Bujila, A Omar and G Poludniowski, A validation of SpekPy: a software toolkit for modelling x-ray tube spectra, Phys Med. 2020; 75:44-54.

  • A Omar, P Andreo and G Poludniowski, A model for the energy and angular distribution of x rays emitted from an x-ray tube. Part I. Bremsstrahlung production. Med Phys. 2020; 47(10):4763-4774

  • A Omar, P Andreo and G Poludniowski, A model for the energy and angular distribution of x rays emitted from an x-ray tube. Part II. Validation of x-ray spectra from 20 to 300 kV. Med Phys. 2020; 47(9):4005-4019

  • J Öden, J. Zimmerman, and G. Poludniowski, Comparison of CT-number parameterization models for stoichiometric CT calibration in proton therapy. Phys Med, 2018; 47:42-49.

  • M Persson, et al., Upper limits of the photon fluence rate on CT detectors: Case study on a commercial scanner. Med Phys, 2016; 43(7):4398-4411.

  • R Bujila, et al., Characterization of Beam Shaping Filters and Photon Spectra From HVL Profiles in CT. Med Phys, 2016; 43(6): 3719.

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