GBM_Prognosis

This repository contains the code for the paper Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction preprint and journal version

The baseline implementation of some modules are adopted from
UNet: https://github.com/milesial/Pytorch-UNet
Octave convolution: https://github.com/facebookresearch/OctConv
Official Implementation of Octave convolution can be found in: https://github.com/facebookresearch/OctConv
cGAN: https://github.com/mrzhu-cool/pix2pix-pytorch

Dataset

BraTS 2017
TCGA MRI and genomic data and paper

Citation

If you use this code for your research, please cite our paper.

@article{islam2021glioblastoma,
  title={Glioblastoma Multiforme Prognosis: MRI Missing Modality Generation, Segmentation and Radiogenomic Survival Prediction},
  author={Islam, Mobarakol and Wijethilake, Navodini and Ren, Hongliang},
  journal={Computerized Medical Imaging and Graphics},
  pages={101906},
  year={2021},
  publisher={Elsevier}
}