Author

Corinna Martin

Universitätsklinikum WürzburgORCID 0000-0001-9869-4108Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Alexander DürriD· 1 shared Anupam SahiD· 1 shared Christina LillesaariD· 1 shared Christoph M. FlathiD· 1 shared Cora R. von CollenbergiD· 1 shared Dennis SegebarthiD· 1 shared Dominik Fiedler· 1 shared Hans‐Christian PapeiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alexander DürrORCID

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1 paper

Recent·Most cited

On the objectivity, reliability, and validity of deep learning enabled bioimage analyses

Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren Denise Lange, , Robert Blum

This study evaluates deep learning methods for bioimage analysis, showing that integrating ground truth estimation and model training improves objectivity, reliability, and validity.

eLife · Oct 19, 2020Peer-reviewedNeuroscience