Author

Juan I. Pisula

University of CologneORCID 0000-0002-6131-8528Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2

Frequent Co-Authors

Katarzyna BożekiD· 2 shared Adrian Simon· 1 shared Alexander QuaasiD· 1 shared Axel Karl WalchiD· 1 shared Christiane J. BrunsiD· 1 shared Daniel Pinto dos SantosiD· 1 shared Felix PoppiD· 1 shared Florian GebaueriD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersBioinformatics

Katarzyna BożekORCID

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2 papers

Recent·Most cited

BioinformaticsBJC ReportsPeer-reviewedMay 20, 2025

Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma

Hussein Naji, Paul Hahn, Juan I. Pisula…·Katarzyna Bożek

This study develops a deep learning model to predict DLBCL recurrence using histological images, achieving an F1 score of 0.83 and identifying predictive nuclear features.

4 citations

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 13, 2022

Predicting the HER2 status in esophageal cancer from tissue microarrays using convolutional neural networks

Juan I. Pisula, Rabi Raj Datta, Leandra Börner Valdez…·Katarzyna Bożek

This paper develops a CNN-based method to predict HER2 status in esophageal cancer tissue microarrays with high accuracy, outperforming manual assessment and reducing the need for costly follow-up tests.

1 citation

𝕏 PostBluesky