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Journal of Medical Imaging (Bellingham, Wash.)|February 4, 2016
Experimental validation of L-shell x-ray fluorescence computed tomography imaging: phantom studyMagdalena Bazalova-Carter, Moiz Ahmad, Lei Xing, et al.
IEEE Transactions on Medical Imaging|December 5, 2014
Optimized Detector Angular Configuration Increases the Sensitivity of X-ray Fluorescence Computed Tomography (XFCT)Moiz Ahmad, Magdalena Bazalova-Carter, Rebecca Fahrig, et al.
Physics in Medicine and Biology|September 27, 2023
Super-resolution biomedical imaging via reference-free statistical implicit neural representationSiqi Ye, Liyue Shen, Md Tauhidul Islam, et al.
Cancers|December 23, 2020
Deep Learning Prediction of Cancer Prevalence from Satellite ImageryJean-Emmanuel Bibault, Maxime Bassenne, Hongyi Ren, et al.
Nature Biomedical Engineering|July 5, 2022
Shifting machine learning for healthcare from development to deployment and from models to dataAngela Zhang, Lei Xing, James Zou, et al.
Physics in Medicine and Biology|August 17, 2023
Deep learning-based fluorescence image correction for high spatial resolution precise dosimetryYusuke Nomura, M Ramish Ashraf, Mengying Shi, et al.
Physics in Medicine and Biology|November 1, 2002
Examination of the effect of increasing the number of radiation beams on a radiation treatment planSteven M Crooks, Andrei Pugachev, Christopher King, et al.
Journal of Radiation Research|February 1, 2018
Radiomics and radiogenomics for precision radiotherapyJia Wu, Khin Khin Tha, Lei Xing, et al.
IEEE Transactions on Medical Imaging|July 10, 2010
X-ray luminescence computed tomography via selective excitation: a feasibility studyGuillem Pratx, Colin M Carpenter, Conroy Sun, et al.
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