An official journal of the MICCAI Society
Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes. The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging. While not limited to these alone, the typical biomedical image datasets of interest include those acquired from:
Magnetic resonance
Ultrasound
Computed tomography
Nuclear medicine
X-ray
Medical Image Analysis (MIA)
is :
International, Peer-Reviewed, Open Access, Refereed,
Computer Science, Computer Graphics, Computer-Aided Design, Radiology, Nuclear Medicine, Radiological, Health Professions, Ultrasound Technology, Health Informatics, Pattern Recognition
,
Online
or
Print,
Quarterly
Journal
UGC Approved, ISSN Approved: P-ISSN - 1361-8415, E-ISSN - 1361-8423, Established in - 1996, Impact Factor - 10.9
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