Author

Sebastian Otálora

University of GenevaORCID 0000-0003-2125-8476Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:database / resource· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Henning MülleriD· 2 shared Manfredo AtzoriiD· 2 shared Damian PodareanuiD· 1 shared David TelleziD· 1 shared Jeroen A. W. M. van der LaakiD· 1 shared Niccolò MariniiD· 1 shared Oscar Jimenez-del-ToroiD· 1 shared Roger SchaeriD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 26 mutual co-author links

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2 shared papersBioinformatics

Henning MüllerORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 17, 2022

stainlib: a python library for augmentation and normalization of histopathology H&E images

Sebastian Otálora, Niccolò Marini, Damian Podareanu…·Manfredo Atzori

stainlib provides a Python library for augmenting and normalizing H&E histopathology images to improve model robustness across clinical settings.

6 citations

imagingdeep learning

𝕏 PostBluesky

PathologybioRxivPreprintSep 6, 2018

Deep learning based retrieval system for gigapixel histopathology cases and open access literature

Sebastian Otálora, Roger Schaer, Oscar Jimenez-del-Toro…·Henning Müller

This paper develops a deep learning retrieval system for digital histopathology images and literature to improve pathologists' workflow and decision support.

DOI 10.1101/408237

imagingdeep learning

𝕏 PostBluesky