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
July 2018
TOP DOWNLOADS
from the Journal of Medical Imaging
Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens
Masahiro Ishikawa et. al (2016)
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)
Recent advances in cardiac computed tomography dose reduction strategies: a review of scientific evidence and technical developments
Sandeep S. Hedgire, Vinit Baliyan, Brian B. Ghoshhajra, Mannudeep K. Kalra (2017)
Detection of small traumatic hemorrhages using a computer-generated average human brain CT
Liza Afzali-Hashemi et al. (2018)
Automatic extraction of cell nuclei from H&E-stained histopathological images
Faliu Yi, Junzhou Huang, Lin Yang, Yang Xie, Guanghua Xiao (2017)
Toward dynamic lumbar puncture guidance using needle-based single-element ultrasound imaging
Haichong K. Zhang et al. (2018)
Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases
Ian J. Gerard et al. (2018)
Multicell migration tracking within angiogenic networks by deep learning-based segmentation and augmented Bayesian filtering
Mengmeng Wang, Lee-Ling Sharon Ong, Justin Dauwels, H. Harry Asada (2018)
Modeling sequential context effects in diagnostic interpretation of screening mammograms
Folami Alamudun, Paige F. Paulus, Hong-Jun Yoon, Georgia D. Tourassi (2018)
Video Introduction to the Journal
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