Ariana M Familiar, PhD
Affiliations: | 2020- | Children’s Hospital of Philadelphia / University of Pennsylvania, Philadelphia, PA, United States |
Area:
Data Science, Pediatric Brain Tumors, AI ImagingGoogle:
"Ariana Familiar"Mean distance: 106866 (cluster 23) | S | N | B | C | P |
Parents
Sign in to add mentor| Marialuisa Martelli | research assistant | 2012-2012 | Sapienza University of Rome |
| Marisa Carrasco | research assistant | 2013-2013 | NYU |
| Won Mok Shim | research assistant | 2013-2015 | Dartmouth |
| Sharon L. Thompson-Schill | grad student | 2015-2021 | Penn |
| Adam Resnick | research scientist | 2020- | Children’s Hospital of Philadelphia / University of Pennsylvania |
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Publications
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| Fathi Kazerooni A, Kraya A, Rathi KS, et al. (2025) Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma. Nature Communications. 16: 340 |
| Gandhi DB, Khalili N, Familiar AM, et al. (2024) Automated pediatric brain tumor imaging assessment tool from CBTN: Enhancing suprasellar region inclusion and managing limited data with deep learning. Neuro-Oncology Advances. 6: vdae190 |
| Familiar AM, Khalili N, Khalili N, et al. (2024) Empowering Data Sharing in Neuroscience: A Deep Learning De-identification Method for Pediatric Brain MRIs. Ajnr. American Journal of Neuroradiology |
| Familiar AM, Fathi Kazerooni A, Vossough A, et al. (2024) Towards Consistency in Pediatric Brain Tumor Measurements: Challenges, Solutions, and the Role of AI-Based Segmentation. Neuro-Oncology |
| Vossough A, Khalili N, Familiar AM, et al. (2024) Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors. Ajnr. American Journal of Neuroradiology |
| Tak D, Ye Z, Zapaischykova A, et al. (2024) Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning. Radiology. Artificial Intelligence. e230333 |
| Familiar AM, Kazerooni AF, Anderson H, et al. (2023) A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network. Arxiv |
| Khalili N, Shooli H, Hosseini N, et al. (2023) Adding Value to Liquid Biopsy for Brain Tumors: The Role of Imaging. Cancers. 15 |
| Zapaishchykova A, Liu KX, Saraf A, et al. (2023) Automated temporalis muscle quantification and growth charts for children through adulthood. Nature Communications. 14: 6863 |
| Familiar AM, Mahtabfar A, Fathi Kazerooni A, et al. (2023) Radio-pathomic approaches in pediatric neuro-oncology: Opportunities and challenges. Neuro-Oncology Advances. 5: vdad119 |