@article{f9f7face71f94002ae2f33fee2328162,
title = "Radiomics-Based Prediction of Long-Term Treatment Response of Vestibular Schwannomas Following Stereotactic Radiosurgery",
keywords = "Machine learning, Magnetic resonance imaging, Radiomics, Stereotactic radiosurgery, Treatment prediction, Tumor texture, Vestibular schwannoma, GAMMA-KNIFE RADIOSURGERY, SURGERY, MANAGEMENT, FEATURES, OUTCOMES, MR, RADIONECROSIS, PROGRESSION, RESECTION, EFFICACY",
author = "Langenhuizen, {Patrick P. J. H.} and Svetlana Zinger and Sieger Leenstra and Kunst, {Henricus P. M.} and Mulder, {Jef J. S.} and Hanssens, {Patrick E. J.} and {de With}, {Peter H. N.} and Verheul, {Jeroen B.}",
year = "2020",
month = dec,
doi = "10.1097/MAO.0000000000002886",
language = "English",
volume = "41",
pages = "E1321--E1327",
journal = "Otology & Neurotology",
issn = "1531-7129",
publisher = "LIPPINCOTT WILLIAMS & WILKINS",
number = "10",
}