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Announcements

  • Starting January 1, 2019 publication fees have changed. Be sure to review the new policy.
  • Starting July 12, 2018 any articles submitted to IEEE-TMI that have also been posted on arXiv will need additional notices added to preprint, with follow-up action needed if your article is accepted for publication. Read more about this policy.
  • IEEE DataPort is an accessible online platform that enables researchers to easily share, access and manage datasets in one trusted location. The platform accepts all types of datasets, up to 2TB, and dataset uploads are currently free of charge.
    On March 31, 2018 you will notice a question asking if you have DATA associated with your article when submitting to the IEEE-TMI journal. IEEE DataPort™ (https://ieee-dataport.org/) is a universally accessible web-based portal that serves four primary purposes:
    • Enable individuals and institutions to make datasets easily accessible to a broad set of researchers, engineers and industry;
    • Enable researchers, engineers and industry to gain access to datasets that can be analyzed to advance technology;
    • Make data analysis tools and capabilities available to enable analysis of datasets;
    • Retain referenceable data for reproducible research.
    This resource hosts all types of datasets, up to 2 TB, and is free for data owners to use. All IEEE society members will automatically receive a free individual subscription to IEEE DataPort through December 31, 2019.

About This Journal

TRANSACTIONS ON MEDICAL IMAGING (T-MI) encourages the submission of manuscripts on imaging of body structure, morphology and function, including cell and molecular imaging and all forms of microscopy. The journal publishes original contributions on medical imaging achieved by modalities including ultrasound, x-rays, magnetic resonance, radionuclides, microwaves, and optical methods. Contributions describing novel acquisition techniques, medical image processing and analysis, visualization and performance, pattern recognition, machine learning, and related methods are encouraged. Studies involving highly technical perspectives are most welcome.

The focus of the journal is on unifying the sciences of medicine, biology, and imaging. It emphasizes the common ground where instrumentation, hardware, software, mathematics, physics, biology, and medicine interact through new analysis methods. Strong application papers that describe novel methods are particularly encouraged. Papers describing important applications based on medically adopted and/or established methods without significant innovation in methodology will be directed to other journals.

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