Medical image analysis

• Fast and automatic segmentation of brain tumors.
• Generation of synthetic images from noise (progressive GAN 3D) or from other images (3D CycleGAN).
• Analysis of brain activity in white matter by combining functional MRI and diffusion MRI.

Input(s):

• MR images.
• fMRI images.
• dMRI images.

Main feature(s):

• Segmentation of brain tumors.
• Generation of synthetic images.
• Analysis of brain activity in white matter.

Output(s):

• Segmentations.
• Synthetic images.
• Brain activity maps.

Needs deep learning packages such as Tensorflow and/or Keras installed, see each repository.

Medical imaging researchers.

Code is open source and available at different github repositories