Author

Zvi Baratz

Tel Aviv UniversityORCID 0000-0001-7159-1387Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Approach:experimental assay· 2 Organism:human· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Yaniv AssafiD· 4 shared Assaf HorowitziD· 1 shared Galia TsarfatyiD· 1 shared Ittai ShamiriD· 1 shared Maya Faraggi· 1 shared Omri TomeriD· 1 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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4 shared papersNeuroscience

Yaniv AssafORCID

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4 papers

Recent·Most cited

Predicting Individual Traits From T1-weighted Anatomical MRI Using the Xception CNN Architecture

Zvi Baratz, Yaniv Assaf

The paper uses a tuned Xception CNN to predict sex, age, and BFI traits from T1-weighted MRI scans, showing potential for transfer learning across domains.

bioRxiv · Feb 20, 2023 · PreprintNeuroscience

The Labbing Project: A database management application for neuroimaging research

Zvi Baratz, Yaniv Assaf

The Labbing Project presents a web application for neuroimaging data aggregation and preprocessing, designed to simplify data management for researchers with limited programming experience.

bioRxiv · Jan 2, 2023 · PreprintBioinformatics

Optimizing FreeSurfer's Surface Reconstruction Parameters for Anatomical Feature Estimation

Zvi Baratz, Yaniv Assaf

This study shows that differences in FreeSurfer surface reconstruction configurations significantly affect anatomical feature estimation and prediction performance.

bioRxiv · Jan 2, 2023 · PreprintNeuroscience

A Framework for Cortical Layer Composition Analysis using Low Resolution T1 MRI Images

Ittai Shamir, Omri Tomer, Zvi Baratz, Galia Tsarfaty, Maya Faraggi, Assaf Horowitz, Yaniv Assaf

This paper introduces a method to analyze cortical layer composition using low-resolution T1 MRI images, resolving partial volume effects and enabling subvoxel composition estimation.

Brain Structure and Function · Feb 19, 2019Peer-reviewedNeuroscience