Author

Noushin Hajarolasvadi

Zuse Institute BerlinORCID 0000-0002-3120-5370Unclaimed 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:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Antonio Martínez-SáncheziD· 2 shared Daniel BaumiD· 2 shared Harold PhelippeauiD· 2 shared Robert Brandt· 2 shared Jessica HeebneriD· 1 shared Juan Diego Gallego NicolásiD· 1 shared Miguel A. MeroñoiD· 1 shared Pascal DouxiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersBioinformatics

Antonio Martínez-SánchezORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 16, 2026

TomoSegNet: Augmented membrane segmentation for cryo-electron tomography by simulating the cellular context

Rachida Seghiri, Juan Diego Gallego Nicolás, Robert Brandt…·Antonio Martínez-Sánchez

TomoSegNet improves membrane segmentation in cryo-electron tomography by using synthetic data generated with a biophysical simulator, outperforming existing methods in recovering distorted membranes.

2 citations

imagingexperimental assay

𝕏 PostBluesky

Molecular BiologybioRxivPreprintJul 12, 2024

DeepOrientation: Deep Orientation Estimation of Macromolecules in Cryo-electron tomography

Noushin Hajarolasvadi, Harold Phelippeau, Antonio Martínez-Sánchez…·Daniel Baum

This paper introduces a deep learning model for orientation estimation of macromolecules in cryo-ET images using synthetic data and shows promising results.

DOI 10.1101/2024.07.12.603241

electronic health recordsdeep learning

𝕏 PostBluesky