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AJNR. American Journal of Neuroradiology|September 28, 2023
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype PredictionJan Lost, Tej Verma, Leon Jekel, et al.
The Lancet. Oncology|October 30, 2025
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the artBenjamin H Kann, Arastoo Vossough, Sarah C Brüningk, et al.
AJNR. American Journal of Neuroradiology|December 8, 2025
Focused Ultrasound in Brain Tumors: Mechanisms, Imaging Guidance, and Emerging Clinical ApplicationsAli Nabavizadeh, Kazim Narsinh, Timothy J Kaufmann, et al.
Neuro-Oncology|August 30, 2024
Multimodal deep learning improves recurrence risk prediction in pediatric low-grade gliomasMaryamalsadat Mahootiha, Divyanshu Tak, Zezhong Ye, et al.
Nature Neuroscience|February 5, 2026
A generalizable foundation model for analysis of human brain MRIDivyanshu Tak, Biniam A Garomsa, Anna Zapaishchykova, et al.
AJNR. American Journal of Neuroradiology|February 14, 2025
Imaging Clusters of Pediatric Low-Grade Glioma are Associated with Distinct Molecular CharacteristicsAnahita Fathi Kazerooni, Adam Kraya, Komal S Rathi, et al.
International Forum of Allergy & Rhinology|June 27, 2021
Surgical approach is associated with complication rate in sinonasal malignancy: A multicenter studyDaniel M Beswick, Peter H Hwang, Nithin D Adappa, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|June 20, 2025
Measles Oncolytic Virus as an Immunotherapy for Recurrent/Refractory Pediatric Medulloblastoma and Atypical Teratoid/Rhabdoid Tumor: Results from PNOC005Bohyeon Yu, Cassie Kline, Owen Hoare, et al.
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