About the Journal

The Journal of Computational Imaging and Machine Vision (JCIMV) serves as a premier platform for the dissemination of cutting-edge research in the interdisciplinary domains of computational imaging and machine vision. JCIMV encourage interdisciplinary collaboration by fostering dialogue and interaction among researchers from diverse fields such as computer vision, image processing, computer graphics, artificial intelligence, signal processing, optics, and related areas.

JCIMV welcomes original research contributions in, but not limited to, the following areas:

  • Computer Vision Algorithms
  • Evolutionary Computation Algorithms
  • Medical Imaging and Analysis
  • Deep Learning and AI in Vision
  • Machine Vision systems for industrial applications
  • Biologically inspired Vision Systems
  • Artificial Intelligence in Medicine
  • AI-based Clinical Decision Making
  • Intelligent Computing in Biomedical Sciences
  • Biomedical Engineering
  • Web-Based Delivery of Medical Information
  • Multi-modal image processing
  • Knowledge Engineering and Information Management
  • Applications and Case Studies