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.
Dual-energy computed tomography using a gantry-based preclinical cone-beam microcomputed tomography scanner
Justin J. Tse et al.
Fisher encoding of convolutional neural network features for endoscopic image classification
G. Wimmer et al.
Special Section on Medical Image Perceptions and Observer Performance
Guest Editors: Elizabeth A. Krupinski, Mia K. Markey, and Tamara Miner Haygood
November 2018
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from the Journal of Medical Imaging
History and future technical innovation in positron emission tomography
Terry Jones, David W. Townsend (2017)
Evaluation of deep learning methods for parotid gland segmentation from CT images
Annika Hänsch 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)
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)
Fisher encoding of convolutional neural network features for endoscopic image classification
Georg Wimmer, Andreas Vécsei, Michael Häfner, Andreas Uhl (2018)
Modeling sequential context effects in diagnostic interpretation of screening mammograms
Folami Alamudun, Paige F. Paulus, Hong-Jun Yoon, Georgia D. Tourassi (2018)
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)
Memory bias in observer-performance literature
Tamara Miner Haygood, Samantha Smith, Jia Sun (2018)
Automatic quantification of morphological features for hepatic trabeculae analysis in stained liver specimens
Masahiro Ishikawa et. al (2016)
Dual-energy computed tomography using a gantry-based preclinical cone-beam microcomputed tomography scanner
Justin J. Tse, Joy Dunmore-Buyze, Maria Drangova, David W. Holdsworth (2018)
Video Introduction to the Journal
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