Author

Ömer Sümer

University of AugsburgORCID 0000-0003-1308-3960Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:statistical model· 1

Frequent Co-Authors

Benjamin D. SolomoniD· 2 shared Dat DuongiD· 2 shared Elisabeth AndréiD· 2 shared Rebekah L. WaikeliD· 2 shared Suzanna E. Ledgister HanchardiD· 2 shared Anna Rose Johny· 1 shared Behnam JavanmardiiD· 1 shared Cedrik Tekendo‐NgongangiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Benjamin D. SolomonORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicineClinical DysmorphologyPeer-reviewedOct 8, 2026

Application of deep learning and explainable AI-supported medical decision-making for facial phenotyping in genetic syndromes

Ömer Sümer, Tobias Huber, Jiayi Cheng…·Rebekah L. Waikel

This study evaluates if explainable AI (XAI) improves diagnostic accuracy and confidence in genetic syndrome recognition using facial images, finding mixed results with AI predictions having greater impact than XAI explanations.

1 citation

humanimaging

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Genetic & Genomic MedicinemedRxivPreprintJul 26, 2023

Human and computer attention in assessing genetic conditions

Dat Duong, Anna Rose Johny, Suzanna E. Ledgister Hanchard…·Benjamin D. Solomon

This study compares human and computer attention patterns when assessing images of genetic conditions using eye-tracking and deep learning saliency maps.

1 citation

humanimaging

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