Journal of Medical Imaging

Editor-in-Chief: Maryellen L. Giger, The University of Chicago, USA

The Journal of Medical Imaging allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements and yield biomedical advancements in the early detection, diagnostics, and therapy of disease as well as in the understanding of normal conditions.

On the cover: The figure is from the paper "Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer" by Sean D. McGarry et al.

Featured Content

Spatiotemporal feature extraction and classification of Alzheimer’s disease using deep learning 3D-CNN for fMRI data

Harshit Parmar et al.

Automatic multi-organ segmentation in computed tomography images using hierarchical convolutional neural network

Sharmin Sultana et al.

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Joseph Ross Mitchell et al.

Most Viewed

from the Journal of Medical Imaging


Water–fat magnetic resonance imaging quantifies relative proportions of brown and white adipose tissues: ex-vivo experiments

Jadranka Stojanovska, et al. (2018) Open Access


Preoperative measurement of cutaneous melanoma and nevi thickness with photoacoustic imaging

Aedán Breathnach, et al. (2018) Open Access


Statistical atlas-based descriptor for an early detection of optic disc abnormalities

Fantin Girard, Conrad Kavalec, Farida Cheriet (2018) Open Access


Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography

Mahdi Orooji, et al. (2018) Open Access


Optimized b-value selection for the discrimination of prostate cancer grades, including the cribriform pattern, using diffusion weighted imaging

Sarah L. Hurrell, et al. (2017) Open Access


Predicting malignant nodules by fusing deep features with classical radiomics features

Rahul Paul, Samuel Hawkins, Matthew B. Schabath, Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof (2018) Open Access


Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis

John Virostko, et al. (2017) Open Access


Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Christos Davatzikos, et al. (2018) Open Access


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) Open Access


Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy

Marcel Tella-Amo, et al. (2018) Open Access


Video Introduction to the Journal

Author Benefits:

  • Articles are deposited into PubMed Central on behalf of the author, with full-text access available one year after publication
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  • Free online color figures
  • Free inclusion of videos and multimedia content
  • 5 free downloads for authors from the SPIE Digital Library
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  • Integration with Code Ocean, a cloud-based code development and publishing platform

 


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