Adamantiades, A. and Kessides, I. (2009). Nuclear power for sustainable development: current status and future prospects. Energy Policy, 37(12):5149–5166.
Ardiny, H. and Beigzadeh, A. (2024). Exploring radiological contamination among the same moving objects based on a fusion between radioactive detectors and surveillance cameras. The European Physical Journal Plus, 139(2):172.
Ardiny, H., Beigzadeh, A., and Askari, M. (2022). Detecting and tracking multiple mobile radioactive sources by data fusion of a surveillance camera and a sodium iodide (NaI) detector. Review of Scientific Instruments, 93(12).
Ardiny, H., Beigzadeh, A., and Mahani, H. (2023). MCNPX simulation and experimental validation of an unmanned aerial radiological system (UARS) for rapid qualitative identification of weak hotspots. Journal of Environmental Radioactivity, 258:107105.
Ardiny, H., Witwicki, S., and Mondada, F. (2019). Au-tonomous exploration for radioactive hotspots localization taking account of sensor limitations. Sensors, 19(2):292.
Bandstra, M. S., Aucott, T. J., Brubaker, E., et al. (2016). Radmap: The radiological multi-sensor analysis platform. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 840:59–68.
Brennan, S. M., Mielke, A. M., and Torney, D. C. (2005). Radioactive source detection by sensor networks. IEEE Transactions on Nuclear Science, 52(3):813–819.
Cooper, R., Abgrall, N., Aversano, G., et al. (2023). Networked sensing for radiation detection, localization, and tracking. In Journal of Physics: Conference Series, volume 2586, page 012125. IOP Publishing.
Doyle, J. E. (2019). Confronting a nuclear north korea. In Nuclear Safeguards, Security, and Nonproliferation, pages 137–154. Elsevier.
Flanagan, R., Osborne, A., and Deinert, M. (2024). Data synthesis improves detection of radiation sources in urban environments. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and
Associated Equipment, 1058:168821.
Galloway, M. L., Amman, M., Awadalla, S., et al. (2011). Status of the high efficiency multimode imager. In 2011 IEEE Nuclear Science Symposium Conference Record, pages 1290–1293. IEEE.
Gonzalez, A. J. (2001). Security of radioactive sources. The evolving new international dimensions.
Haefner, A. (2014). Compton Image Reconstruction Algorithms and Demonstration Across Multiple Devices: From the Lab to the Field. PhD thesis, University of California, Berkeley.
Jacob, N., Orji, C., et al. (2024). Nuclear radiation detection and control system using artificial neural network (ANN) approach. African Journal of Engineering and Environment Research, 6:1.
Johansen, G. A. and Jackson, P. (2004). Radioisotope gauges for industrial process measurements. Wiley Online Library.
Kataoka, J., Kishimoto, A., Nishiyama, T., et al. (2013). Handy Compton camera using 3D position-sensitive scintillators coupled with large-area monolithic MPPC arrays.
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 732:403–407.
Kraft, A. (2006). Between medicine and industry: Medical physics and the rise of the radioisotope 1945–65. Contemporary British History, 20(1):1–35.
Lazna, T. and Zalud, L. (2025). Localizing multiple radiation sources actively with a particle filter. Nuclear Engineering and Technology, 57(2):103171.
Manzano, L. G., Bisegni, C., Boukabache, H., et al. (2020). A distributed and interconnected network of sensors for environmental radiological monitoring. Radiation Measurements, 139:106488.
Marshall, M., Cooper, R., Curtis, J., et al. (2023). Mobile object tracking in panoramic video and LiDAR for radiological source-object attribution and improved source detection. arXiv preprint arXiv:2309.06592.
Marshall, M., Hellfeld, D., Joshi, T., et al. (2020). 3-d object tracking in panoramic video and lidar for radiological source–object attribution and improved source detection. IEEE Transactions on Nuclear Science, 68(2):189–202.
Mihailescu, L., Vetter, K., Burks, M., et al. (2007). SPEIR: a Ge Compton camera. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 570(1):89–100.
Nemzek, R. J., Dreicer, J. S., Torney, D. C., et al. (2004). Distributed sensor networks for detection of mobile radioactive sources. IEEE Transactions on Nuclear Science, 51(4):1693–1700.
Redmon, J., Divvala, S., Girshick, R., et al. (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition, pages 779–788.
Riley, P., Enqvist, A., and Koppal, S. J. (2015). Low-cost depth and radiological sensor fusion to detect moving sources. In 2015 International Conference on 3D Vision, pages 198–205. IEEE.
Vetter, K., Burks, M., Cork, C., et al. (2007). High-sensitivity Compton imaging with position-sensitive Si and Ge detectors. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 579(1):363–366.
Weber, G. H., Bandstra, M. S., Chivers, D. H., et al. (2017). Web-based visual data exploration for improved radiological source detection. Concurrency and Computation: Practice and Experience, 29(18):e4203.
Zhu, W., Zhao, R., Tang, X., et al. (2024). Evaluation of radiation leakage in X-ray security inspection machine using a CZT spectrometer. Radiation Measurements, 177:107274.
Ziock, K.-P., Cunningham, M., and Fabris, L. (2008). Two-sided coded-aperture imaging without a detector plane. In 2008 IEEE Nuclear Science Symposium Conference Record pages 634–641. IEEE.