Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. Beig, N. G., Patel, J., Prasanna, P., Partovi, S., Varadan, V., Madabhushi, A., & Tiwari, P. In III, S. G. A. & Petrick, N. A., editors, Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017, volume 10134, of SPIE Proceedings, pages 101341U, 2017. SPIE.
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/micad/BeigPPPVMT17,
  author    = {Niha G. Beig and
               Jay Patel and
               Prateek Prasanna and
               Sasan Partovi and
               Vinay Varadan and
               Anant Madabhushi and
               Pallavi Tiwari},
  editor    = {Samuel G. Armato III and
               Nicholas A. Petrick},
  title     = {Radiogenomic analysis of hypoxia pathway reveals computerized {MRI}
               descriptors predictive of overall survival in glioblastoma},
  booktitle = {Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida,
               United States, 11-16 February 2017},
  series    = {{SPIE} Proceedings},
  volume    = {10134},
  pages     = {101341U},
  publisher = {{SPIE}},
  year      = {2017},
  url       = {https://doi.org/10.1117/12.2255694},
  doi       = {10.1117/12.2255694},
  timestamp = {Thu, 25 Feb 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/conf/micad/BeigPPPVMT17.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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