RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. Antunes, J., Prasanna, P., Madabhushi, A., Tiwari, P., & Viswanath, S. In Descoteaux, M., Maier-Hein, L., Franz, A. M., Jannin, P., Collins, D. L., & Duchesne, S., editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II, volume 10434, of Lecture Notes in Computer Science, pages 468–476, 2017. Springer.
Paper doi bibtex @inproceedings{DBLP:conf/miccai/AntunesPMTV17,
author = {Jacob Antunes and
Prateek Prasanna and
Anant Madabhushi and
Pallavi Tiwari and
Satish Viswanath},
editor = {Maxime Descoteaux and
Lena Maier{-}Hein and
Alfred M. Franz and
Pierre Jannin and
D. Louis Collins and
Simon Duchesne},
title = {RADIomic Spatial TexturAl descripTor {(RADISTAT):} Characterizing
Intra-tumoral Heterogeneity for Response and Outcome Prediction},
booktitle = {Medical Image Computing and Computer Assisted Intervention - {MICCAI}
2017 - 20th International Conference, Quebec City, QC, Canada, September
11-13, 2017, Proceedings, Part {II}},
series = {Lecture Notes in Computer Science},
volume = {10434},
pages = {468--476},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-66185-8\_53},
doi = {10.1007/978-3-319-66185-8\_53},
timestamp = {Thu, 14 Oct 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/miccai/AntunesPMTV17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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