Ariana Familiar

Children's Hospital of Philadelphia — United States

Medicine · Health Sciences

15h-index632citations103works3.92yr avg
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Research Topics

Glioma Diagnosis and Treatment(59), Radiomics and Machine Learning in Medical Imaging(55), Brain Tumor Detection and Classification(25), Advanced Neural Network Applications(11), Medical Imaging Techniques and Applications(7)

Publications103 total

A generalizable foundation model for analysis of human brain MRI
Nature Neuroscience·2026Open Access
AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors
npj Precision Oncology·2026Open Access
Role of repulsive guidance signaling and GPR180 in pediatric low-grade glioma infiltration
npj Precision Oncology·2025Open Access
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 1: review of the current state of the art
The Lancet Oncology·2025· 4 cited
Artificial Intelligence for Response Assessment in Pediatric Neuro-Oncology (AI-RAPNO), part 2: challenges, opportunities, and recommendations for clinical translation
The Lancet Oncology·2025· 2 cited
AI-Powered Segmentation and Prognosis with Missing MRI in Pediatric Brain Tumors
2025Open Access
BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
The Journal of Machine Learning for Biomedical Imaging·2025· 6 citedOpen Access
Enhancing RAPNO: the need for standardized imaging heuristics and volumetric assessment
Neuroradiology·2025Open Access
Longitudinal Risk Prediction for Pediatric Glioma with Temporal Deep Learning
NEJM AI·2025· 2 citedOpen Access
Two-level classification for differential diagnosis and molecular subtype classification of pediatric medulloblastoma from other posterior fossa tumors
2025
Imaging Clusters of Pediatric Low-Grade Glioma Are Associated with Distinct Molecular Characteristics
American Journal of Neuroradiology·2025· 4 citedOpen Access
Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma
Nature Communications·2025· 12 citedOpen Access
Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study
Neuro-Oncology Advances·2025Open Access
Predicting Anatomical Brain Tumor Growth by Guided Denoising Diffusion Models
SSRN Electronic Journal·2025Open Access
Imaging Clusters of Pediatric Low-Grade Glioma are Associated with Distinct Molecular Characteristics
2024Open Access
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
PubMed·2024· 4 citedOpen Access
A foundation model for generalized brain MRI analysis
2024· 8 citedOpen Access
The Brain Tumor Segmentation (BraTS) Challenge 2023: <i>Brain MR Image Synthesis for Tumor Segmentation (BraSyn)</i>.
PubMed·2024· 9 citedOpen Access
Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs
American Journal of Neuroradiology·2024· 4 citedOpen Access
NIMG-65. SYNTHETIC MRI GENERATION TO FACILITATE AUTOSEGMENTATION OF PEDIATRIC BRAIN TUMORS IN LIMITED DATA SCENARIOS
Neuro-Oncology·2024Open Access
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Frequent Co-authors

Ali Nabavizadeh(37), Anahita Fathi Kazerooni(35), Adam Resnick(26), Arastoo Vossough(25), Phillip B. Storm(22), Nastaran Khalili(21), Debanjan Haldar(20), Sina Bagheri(20), Mariam Aboian(18), Benjamin H. Kann(17), Hannah Anderson(16), Jeffrey B. Ware(16), Jake Albrecht(15), Timothy Bergquist(15), Verena Chung(15), Christos Davatzikos(14), J. Mark Eddy(14), Keyvan Farahani(14), Zhifan Jiang(13), Maruf Adewole(13)