Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma

Niha Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari. Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. In Samuel G. Armato III, Nicholas A. Petrick, editors, Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017. Volume 10134 of SPIE Proceedings, SPIE, 2017. [doi]

@inproceedings{BeigPPPVMT17,
  title = {Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma},
  author = {Niha Beig and Jay Patel and Prateek Prasanna and Sasan Partovi and Vinay Varadan and Anant Madabhushi and Pallavi Tiwari},
  year = {2017},
  doi = {10.1117/12.2255694},
  url = {https://doi.org/10.1117/12.2255694},
  researchr = {https://researchr.org/publication/BeigPPPVMT17},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017},
  editor = {Samuel G. Armato III and Nicholas A. Petrick},
  volume = {10134},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510607132},
}