Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath. RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. In Maxime Descoteaux, Lena Maier-Hein, Alfred Franz, Pierre Jannin, D. Louis Collins, Simon Duchesne, 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, Springer, 2017. [doi]
@inproceedings{AntunesPMTV17,
title = {RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction},
author = {Jacob Antunes and Prateek Prasanna and Anant Madabhushi and Pallavi Tiwari and Satish Viswanath},
year = {2017},
doi = {10.1007/978-3-319-66185-8_53},
url = {https://doi.org/10.1007/978-3-319-66185-8_53},
researchr = {https://researchr.org/publication/AntunesPMTV17},
cites = {0},
citedby = {0},
pages = {468-476},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II},
editor = {Maxime Descoteaux and Lena Maier-Hein and Alfred Franz and Pierre Jannin and D. Louis Collins and Simon Duchesne},
volume = {10434},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-66185-8},
}