Editor-in-Chief: Norbert J. Pelc, Stanford University
The Journal of Medical Imaging covers fundamental and translational research, as well as applications, focused on medical imaging, which continue to yield physical and biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal.
Detection of small traumatic hemorrhages using a computer-generated average human brain CT
Liza Afzali-Hashemi et al.
Positron emission tomography-based assessment of metabolic gradient and other prognostic features in sarcoma
Eric Wolsztynski et al.
Special Section on Medical Image Perceptions and Observer Performance
Guest Editors: Elizabeth A. Krupinski, Mia K. Markey, and Tamara Miner Haygood
June 2018
TOP DOWNLOADS
from the Journal of Medical Imaging
Review of quantitative multiscale imaging of breast cancer
Michael A. Pinkert, Lonie R. Salkowski, Patricia J. Keely, Timothy J. Hall, Walter F. Block, Kevin W. Eliceiri (2018)
History and future technical innovation in positron emission tomography
Terry Jones, David W. Townsend (2017)
Quantifying the costs of interruption during diagnostic radiology interpretation using mobile eye-tracking glasses
Trafton Drew, Lauren H. Williams, Booth Aldred, Marta E. Heilbrun, Satoshi Minoshima (2018)
Feasibility of photoacoustic-guided teleoperated hysterectomies
Margaret Allard, Joshua Shubert, Muyinatu A. Lediju Bell (2018)
Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens
Masahiro Ishikawa et. al (2016)
Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models
Hoda Sharei, Tanja Alderliesten, John J. van den Dobbelsteen, Jenny Dankelman (2018)
Automatic extraction of cell nuclei from H&E-stained histopathological images
Faliu Yi, Junzhou Huang, Lin Yang, Yang Xie, Guanghua Xiao (2017)
GIFTed Demons: deformable image registration with local structure-preserving regularization using supervoxels for liver applications
Bartłomiej W. Papież, James M. Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Michael Brady, Julia A. Schnabel (2018)
Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong (2017)
LUNGx Challenge for computerized lung nodule classification
Samuel G. Armato III et al. (2016)
Video Introduction to the Journal
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