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IEEE Transactions on Medical Imaging is a monthly peer-reviewed scientific journal published by the Institute of Electrical and Electronics Engineers (IEEE). It covers technological aspects of medical imaging techniques. The journal was established in 1982 and since 2025 the editor-in-chief is Ge Wang (Rensselaer Polytechnic Institute).
Since 2019, Ying has served as Editor-in-Chief of IEEE Transactions on Medical Imaging. [5] She has also been an associate editor for the IEEE Annual International Conference of Engineering in Medicine and Biology Society since 2008 and for the IEEE International Symposium on Biomedical Imaging since 2013.
Pages in category "Radiology and medical imaging journals" The following 52 pages are in this category, out of 52 total. ... IEEE Transactions on Medical Imaging;
IEEE transactions on medical imaging 24 (11), 1428–1440. [16] 169 citations: Intensity-based 2-D-3-D registration of cerebral angiograms. John H Hipwell, Graeme P Penney, Robert A McLaughlin, Kawal Rhode, Paul Summers, Tim C Cox, James V Byrne, J Alison Noble, David J Hawkes. IEEE transactions on medical imaging 22 (11), 1417–1426.
Amini was the chair of SPIE Medical Imaging Conference on Physiology, Function, and Structure from Medical Images from 2002 to 2006, and in 2007 he co-chaired the SPIE Medical Imaging Symposium. [2] That year he was also elected a fellow of the IEEE (Engineering in Medicine and Biology Society) with the citation “for contributions to ...
The publications of the Institute of Electrical and Electronics Engineers (IEEE) constitute around 30% of the world literature in the electrical and electronics engineering and computer science fields, [citation needed] publishing well over 100 peer-reviewed journals. [1]
IEEE Transactions on Antennas and Propagation; IEEE Transactions on Applied Superconductivity; IEEE Transactions on Circuits and Systems I: Regular Papers; IEEE Transactions on Communications; IEEE/ACM Transactions on Computational Biology and Bioinformatics; IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
An excellent overview can be found in the special issue [5] of IEEE Transaction on Medical Imaging. One group of deep learning reconstruction algorithms apply post-processing neural networks to achieve image-to-image reconstruction, where input images are reconstructed by conventional reconstruction methods.