Back to Top
Go Back
Journal Photo for IEEE Transactions on Medical Imaging
Peer reviewed only Open Access

IEEE Transactions on Medical Imaging (IEEE T-MI)

Publisher : IEEE
Computer Science Computer Science Applications Engineering
e-ISSN 1558-254X
p-ISSN 0278-0062
Issue Frequency Monthly
Impact Factor 10.6
Est. Year 1982
Mobile 17329810060
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email Leslieying@ieee.org

Journal Descriptions

IEEE 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.

IEEE Transactions on Medical Imaging (IEEE T-MI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Computer Science, Computer Science Applications, Engineering, Electronic Engineering, Health Professions, Radiological, Ultrasound Technology, Software , Online or Print , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0278-0062, E-ISSN: 1558-254X, Established: 1982, Impact Factor: 10.6
  • Does Not Provide Crossref DOI
  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of IEEE T-MI

Pietro Liò May, 2023
Recent studies on multi-contrast MRI reconstruction have demonstrated the potential of further accelerating MRI acquisition by exploiting correlation between contrasts. Most of the state-of-...
John Suckling January, 1999
The authors describe almost entirely automated procedures for estimation of global, voxel, and cluster-level statistics to test the null hypothesis of zero neuroanatomical difference between...