Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study

A Fathi Kazerooni, S Arif, R Madhogarhia… - Neuro-Oncology …, 2023 - academic.oup.com
Background Brain tumors are the most common solid tumors and the leading cause of
cancer-related death among all childhood cancers. Tumor segmentation is essential in surgical …

Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality

…, MV Gonzalez, KS Gaonkar, KS Rathi, P Young, S Arif… - Cell reports, 2021 - cell.com
Tumor-associated macrophages (TAMs) play an important role in tumor immunity and comprise
of subsets that have distinct phenotype, function, and ontology. Transcriptomic analyses …

[HTML][HTML] Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

D Haldar, AF Kazerooni, S Arif, A Familiar… - Neoplasia, 2023 - Elsevier
Introduction Despite advancements in molecular and histopathologic characterization of
pediatric low-grade gliomas (pLGGs), there remains significant phenotypic heterogeneity …

Radiomics and radiogenomics in pediatric neuro-oncology: a review

…, A Familiar, H Anderson, S Arif… - Neuro-Oncology …, 2022 - academic.oup.com
The current era of advanced computing has allowed for the development and implementation
of the field of radiomics. In pediatric neuro-oncology, radiomics has been applied in …

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning

R Madhogarhia, AF Kazerooni, S Arif… - Medical Imaging …, 2022 - spiedigitallibrary.org
Background: Brain tumors are the most common solid tumors in children, and high-grade
brain tumors are the leading cause of cancer-related death among all childhood cancers. …

A transcriptome-based classifier to determine molecular subtypes in medulloblastoma

KS Rathi, S Arif, M Koptyra, AS Naqvi… - PLoS Computational …, 2020 - journals.plos.org
Medulloblastoma is a highly heterogeneous pediatric brain tumor with five molecular
subtypes, Sonic Hedgehog TP53-mutant, Sonic Hedgehog TP53-wildtype, WNT, Group 3, and …

Radiomic signatures of meningiomas using the Ki-67 proliferation index as a prognostic marker of clinical outcomes

O Khanna, AF Kazerooni, S Arif, A Mahtabfar… - Neurosurgical …, 2023 - thejns.org
OBJECTIVE The clinical behavior of meningiomas is not entirely captured by its designated
WHO grade, therefore other factors must be elucidated that portend increased tumor …

[HTML][HTML] A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

…, N Khalili, S Bagheri, D Haldar, MC Kim, S Arif… - ArXiv, 2023 - ncbi.nlm.nih.gov
Pediatric brain and spinal cancers remain the leading cause of cancer-related death in
children. Advancements in clinical decision-support in pediatric neuro-oncology utilizing the …

IMG-05. A MULTI-INSTITUTIONAL AND MULTI-HISTOLOGY PEDIATRIC-SPECIFIC BRAIN TUMOR SUBREGION SEGMENTATION TOOL: FACILITATING RAPNO …

…, A Familiar, S Bagheri, H Anderson, S Arif… - Neuro …, 2023 - academic.oup.com
In pediatric low-grade gliomas (pLGG), prognosis and responses to treatments are heterogeneous.
This heterogeneity may be explained by the differences in molecular composition of …

NIMG-87. CHARACTERIZING IMMUNE PROFILES OF PEDIATRIC MEDULLOBLASTOMA AND THEIR RADIOLOGICAL CORRELATES

…, MC Kim, N Khalili, R Madhogarhia, S Arif… - Neuro …, 2022 - academic.oup.com
Recent studies have shown preliminary evidence for differentiation of the tumor microenvironment
(TME) and immune landscape between molecularly-defined medulloblastoma (MB) …