Author

Josepheen De Asis‐Cruz

Children's NationalORCID 0000-0003-3936-0380Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Catherine LimperopoulosiD· 1 shared Dhineshvikram Krishnamurthy· 1 shared Elizabeth YeniD· 1 shared Jerod M. RasmusseniD· 1 shared Jung‐Hoon KimiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperNeuroscience

Catherine LimperopoulosORCID

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2 papers

Recent·Most cited

NeuroscienceDevelopmental Cognitive NeurosciencePeer-reviewedFeb 14, 2026

MRI-Based Structural Development of the Human Newborn Hypothalamus

Elizabeth Yen, Josepheen De Asis‐Cruz, Jerod M. Rasmussen

This study examines how prenatal factors affect hypothalamus volume in newborns using MRI data, finding associations with gestational age, postmenstrual age, sex, and maternal smoking.

1 citation

humanimaging

𝕏 PostBluesky

NeuroscienceeLifePeer-reviewedMay 15, 2023

Towards A More Informative Representation of the Fetal-Neonatal Brain Connectome using Variational Autoencoder

Jung‐Hoon Kim, Josepheen De Asis‐Cruz, Dhineshvikram Krishnamurthy, Catherine Limperopoulos

This paper uses a variational autoencoder to model non-linear fetal-neonatal brain development, improving age prediction and revealing functional brain networks.

10 citations

humanimaging

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