Author

Ernst J. Rummeny

Technical University of MunichORCID 0000-0002-1935-5886Unclaimed 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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Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Fabian Karl LohöferiD· 2 shared Georgios A. KaissisiD· 2 shared Hana AlgüliD· 2 shared Jens Thomas SivekeiD· 2 shared Rickmer BrareniD· 2 shared Roland Michael SchmidiD· 2 shared Sebastian ZiegelmayeriD· 2 shared Wilko WeichertiD· 2 shared

Activity by Year

2019-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersBioinformatics

Fabian Karl LohöferORCID

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2 papers

Recent·Most cited

A prospectively validated machine learning model for the prediction of survival and tumor subtype in pancreatic ductal adenocarcinoma

Georgios A. Kaissis, Sebastian Ziegelmayer, Fabian Karl Lohöfer, Hana Algül, Matthias Eiber, Wilko Weichert, Roland Michael Schmid, Helmut Friess, Ernst J. Rummeny, Donna Pauler Ankerst, Jens Thomas Siveke, Rickmer Braren

The paper develops a machine learning model using radiomic features from MRI to predict survival and tumor subtype in pancreatic ductal adenocarcinoma with high accuracy.

European Radiology Experimental · Oct 17, 2019Peer-reviewedBioinformatics

A machine learning algorithm predicts molecular subtypes in pancreatic ductal adenocarcinoma with differential response to gemcitabine-based versus FOLFIRINOX chemotherapy

Georgios A. Kaissis, Sebastian Ziegelmayer, Fabian Karl Lohöfer, Katja Steiger, Hana Algül, Alexander Muckenhuber, Hsi-Yu Yen, Ernst J. Rummeny, Helmut Frieß, Roland Michael Schmid, Wilko Weichert, Jens Thomas Siveke, Rickmer Braren

This paper develops a machine learning model to predict molecular subtypes of PDAC from radiomic features, showing differential chemotherapy response based on subtype.

PLoS ONE · Oct 2, 2019Peer-reviewedBioinformatics