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Scientific Reports|October 10, 2019
Radiomics and MGMT promoter methylation for prognostication of newly diagnosed glioblastomaTakahiro Sasaki, Manabu Kinoshita, Koji Fujita, et al.
Scientific Reports|August 8, 2018
Lesion location implemented magnetic resonance imaging radiomics for predicting IDH and TERT promoter mutations in grade II/III gliomasHideyuki Arita, Manabu Kinoshita, Atsushi Kawaguchi, et al.
Neuro-Oncology Practice|November 12, 2016
A prospective, multicentre, single-arm clinical trial of bevacizumab for patients with surgically untreatable, symptomatic brain radiation necrosis†Motomasa Furuse, Naosuke Nonoguchi, Toshihiko Kuroiwa, et al.
Scientific Reports|January 1, 2020
Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural networkRyohei Fukuma, Takufumi Yanagisawa, Manabu Kinoshita, et al.
NPJ Digital Medicine|May 5, 2026
Comparing artificial intelligence and physician performance in predicting IDH mutation status in gliomaSatoshi Takahashi, Masamichi Takahashi, Manabu Kinoshita, et al.
Acta Neuropathologica Communications|August 10, 2016
A combination of TERT promoter mutation and MGMT methylation status predicts clinically relevant subgroups of newly diagnosed glioblastomasHideyuki Arita, Kai Yamasaki, Yuko Matsushita, et al.
Acta Neuropathologica Communications|December 6, 2018
Significance of molecular classification of ependymomas: C11orf95-RELA fusion-negative supratentorial ependymomas are a heterogeneous group of tumorsKohei Fukuoka, Yonehiro Kanemura, Tomoko Shofuda, et al.
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