Medical Imaging

From Ioannis Kourouklides
Jump to navigation Jump to search

This page contains resources about Medical Imaging, Medical Image Computing or Medical Image Analysis and Biomedical Engineering.

More specific information is included in each subfield.

Subfields and Concepts[edit]

See Category:Medical Imaging for some of its subfields.

  • Modalities
    • Ultrasound (US) / Ultrasonography
    • Photoacoustic Tomography (PAT)
    • Magnetic Resonance Imaging (MRI)
    • Computed Tomography (CT)
    • Positron Emission Tomography (PET)

Online Courses[edit]

Video Lectures[edit]

Lecture Notes[edit]


  • Bankman, I. (Ed.). (2008). Handbook of Medical Image Processing and Analysis. Academic Press.
  • Dhawan, A. P. (2011). Medical image analysis (Vol. 31). John Wiley & Sons.
  • Toennies, K. D. (2012). Guide to medical image analysis: methods and algorithms. Springer.
  • Criminisi, A., & Shotton, J. (2013). Decision Forests for Computer Vision and Medical Image Analysis. Springer.

Scholarly Articles[edit]

  • Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., ... & Sánchez, C. I. (2017). A survey on deep learning in medical image analysis. Medical image analysis, 42, 60-88.


  • ITK -  cross-platform, open-source software in C++, Python
  • ITK-SNAP - image segmentation (mainly for CT and MR data)
  • Tools for NIfTI - MATLAB
  • PyNIfTI - Python
  • Niftilib - C, JAVA, Python and MATLAB
  • MITK - open source software in C++
  • CTK - The Common Toolkit (C++)
  • medInria - multi-platforma, open-source software (2D/3D/4D visualization)
  • NifTK - combining NiftyReg, NiftySim, NiftyRec and NiftySeg
  • DLTK - Python
  • NiTime - Time-Series Analysis for Neuroscience in Python
  • AFNI - C, Python and R

See also[edit]

Other Resources[edit]