Author

Dominik Fiedler

University of Münster

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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 Corinna MartiniD· 1 shared Dennis SegebarthiD· 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