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.
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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