Computer-aided Biomedical Imaging 2020: Advances and Prospects Call for Papers

"Computer-aided Biomedical Imaging 2020: Advances and Prospects"

 A special issue of the Applied Sciences journal (ISSN 2076-3417, 
CiteScore: 2.52; IF: 2.217)


At present, image acquisition and analysis are a fundamental basis in
many disciplines of biomedical scope. In tasks such as screening,
diagnosis, treatment, drug development, molecular analysis, etc.,
visual information is crucial for a successful performance. Given the
existence of numerous image modalities with more and more quality, the
time and effort demanded from the specialists for its manual analysis
is appalling, leading to an under-utilization of the available visual
information. Thus, computerized solutions for aiding in the process of
the image analysis via automatic or semi-automatic procedures come as
a necessity. In recent years, along with the availability of huge
amounts of biomedical imaging data, new computer-based paradigms
(e.g., Big Data or deep learning) are experiencing increasing
popularity, improving traditional procedures related to many
applications, including biomedical image analysis.

This Special Issue focuses on the recent advances and prospects in
computer-aided biomedical imaging and welcomes contributions in topics
that include but are not limited to:

    Biomedical image analysis
    Deep learning in biomedicine
    Artificial Intelligence in biomedicine
    Applied soft computing
    Computer-assisted diagnosis
    Image-guided therapy
    Image-guided surgery and intervention
    2D and 3D modeling
    2D and 3D segmentation
    2D and 3D reconstruction
    2d and 3D registration and fusion
    Motion analysis
    Telemedicine with medical images
    Image quality assessment
    Applications of Big Data in imaging
    Biomedical robotics and haptics


  - Manuscript Submission Deadline:  31 Dec 2019


For more information about this special issue, please, visit our
website at

This special session is supported by the IEEE CIS Task Force on
Evolutionary Computer Vision and Image Processing:

Marcos Ortega Hortas, University of A Coruña, Spain
Jorge Novo Buján, University of A Coruña, Spain
Pablo Mesejo, University of Granada, Spain