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The Neuroradiology Journal|August 2, 2023
Statistical plots in oncologic imaging, a primer for neuroradiologistsSina Bagheri, Mohammad Taghvaei, Ariana Familiar, et al.
Cancers|November 14, 2023
Adding Value to Liquid Biopsy for Brain Tumors: The Role of ImagingNastaran Khalili, Hossein Shooli, Nastaran Hosseini, et al.
NPJ Precision Oncology|June 19, 2023
Radiomics for characterization of the glioma immune microenvironmentNastaran Khalili, Anahita Fathi Kazerooni, Ariana Familiar, et al.
Neuro-Oncology Advances|July 7, 2022
Radiomics and radiogenomics in pediatric neuro-oncology: A reviewRachel Madhogarhia, Debanjan Haldar, Sina Bagheri, et al.
AJNR. American Journal of Neuroradiology|July 29, 2026
Uncertainty-Aware Risk Stratification in Pediatric Low-Grade Glioma Using Multimodal DataFadel Batal, Bhavyasri Vunnava, Adam Kraya, et al.
Neoplasia (New York, N.Y.)|December 25, 2022
Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markersDebanjan Haldar, Anahita Fathi Kazerooni, Sherjeel Arif, et al.
NPJ Precision Oncology|November 11, 2025
Role of repulsive guidance signaling and GPR180 in pediatric low-grade glioma infiltrationGeena Jung, Zizhuo Liang, Payal Jain, et al.
Medrxiv : the Preprint Server for Health Sciences|August 23, 2023
Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learningDivyanshu Tak, Zezhong Ye, Anna Zapaishchykova, et al.
Radiology. Artificial Intelligence|March 6, 2024
Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer LearningDivyanshu Tak, Zezhong Ye, Anna Zapaischykova, 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.
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