Author

Daniela Ushizima

Lawrence Berkeley National Laboratory

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Neuroscience· 1

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Dulce Ovando· 1 shared Duygu TosuniD· 1 shared Helmut Heinser· 1 shared Lea T. GrinbergiD· 1 shared Maryana AlegroiD· 1 shared Rana Eser· 1 shared Yuheng Chen· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Dulce Ovando

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1 paper

Recent·Most cited

Deep Learning for Alzheimer's Disease: Mapping Large-scale Histological Tau Protein for Neuroimaging Biomarker Validation

Maryana Alegro, Yuheng Chen, Dulce Ovando, Helmut Heinser, Rana Eser, Daniela Ushizima, Duygu Tosun, Lea T. Grinberg

This study develops a computational pipeline using SlideNet to segment tau inclusions in whole human brain histology, generating 3D density maps for validating PET tau tracers in Alzheimer's disease.

bioRxiv · May 27, 2020 · PreprintNeuroscience