Author

Natalie Aw

Columbia University Irving Medical Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Jonathan E. PosneriD· 2 shared Alexandra F. MuratoreiD· 1 shared Andrew F. LaineiD· 1 shared David Semanek· 1 shared E. Caitlin LloydiD· 1 shared Fateme Sadat Haghpanah· 1 shared JOANNA E. STEINGLASSiD· 1 shared Karin FoerdeiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 mutual co-author links

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2 shared papersNeuroscience

Jonathan E. PosnerORCID

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2 papers

Recent·Most cited

Large-scale exploration of whole-brain structural connectivity in anorexia nervosa: alterations in the connectivity of frontal and subcortical networks

E. Caitlin Lloyd, Karin Foerde, Alexandra F. Muratore, Natalie Aw, David Semanek, JOANNA E. STEINGLASS, Jonathan E. Posner

This study examines structural brain connectivity differences in anorexia nervosa using diffusion MRI, finding reduced subcortical connectivity and increased frontal cortical connectivity.

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · Aug 1, 2023Peer-reviewedNeuroscience

A transfer-learning approach for first-year developmental infant brain segmentation using deep neural networks

Yun Wang, Fateme Sadat Haghpanah, Natalie Aw, Andrew F. Laine, Jonathan E. Posner

This paper introduces a transfer-learning approach using CNNs to segment infant brain structures, showing improved performance on newborns and 6-month-olds, especially in preterm infants.

bioRxiv · May 22, 2020 · PreprintNeuroscience