Author

András Jakab

Primary ORCID profile (0000-0001-6291-9889 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

András JakabiD1 paper · University Children's Hospital Zurich

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Ervin Berényi· 1 shared Miklós Emri· 1 shared Péter Molnár· 1 shared

Activity by Year

2017-2017 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperPathology

Ervin Berényi

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1 paper

Recent·Most cited

Glioma Grade Map: A Machine-Learning Based Imaging Biomarker For Tumor Characterization

András Jakab, Péter Molnár, Miklós Emri, Ervin Berényi

This paper develops a machine learning method using MRI to create glioma grade maps, showing high specificity and sensitivity in tumor classification.

bioRxiv · May 2, 2017 · PreprintPathology