Adam Resnick
Affiliations: | University of Pennsylvania, Philadelphia, PA, United States |
Area:
InositolGoogle:
"Adam Resnick"Mean distance: 14.4 (cluster 40) | S | N | B | C | P |
Parents
Sign in to add mentorSolomon H. Snyder | grad student | 2006 | Johns Hopkins | |
(Inositol polyphosphate multikinase in a nuclear PI3 -kinase with transcriptional regulatory activity.) |
Children
Sign in to add traineeAdam Hanno | research assistant | Penn | |
Jenny Fang Ma | research assistant | Penn | |
Lucy Shin Chong | research assistant | 2010- | Penn |
James Stephen | grad student | Penn | |
Doug Hardesty | grad student | 2007-2011 | Penn |
Katie Boucher | research scientist | Penn | |
Namrata Choudhari | research scientist | Penn | |
Ariana M Familiar | research scientist | 2020- | Children’s Hospital of Philadelphia / University of Pennsylvania |
Collaborators
Sign in to add collaboratorSangwon F. Kim | collaborator | Penn | |
Angela Sievert | collaborator | Penn |
BETA: Related publications
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Publications
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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 |
Tetens AR, Martin AM, Arnold A, et al. (2024) DNA methylation landscapes in DIPG reveal methylome variability that can be modified pharmacologically. Neuro-Oncology Advances. 6: vdae023 |
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 |
Koschmann C, Al-Holou WN, Alonso MM, et al. (2023) A road map for the treatment of pediatric diffuse midline glioma. Cancer Cell |
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 |
Tak D, Ye Z, Zapaischykova A, et al. (2023) Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning. Medrxiv : the Preprint Server For Health Sciences |