Author

Helmut Friess

Technical University of MunichORCID 0000-0001-6029-5857Unclaimed ORCID profile · follow to get notified of new preprints

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Helmut Friess1 paper

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Donna Pauler AnkerstiD· 1 shared Ernst J. RummenyiD· 1 shared Fabian Karl LohöferiD· 1 shared Georgios A. KaissisiD· 1 shared Hana AlgüliD· 1 shared Jens Thomas SivekeiD· 1 shared Matthias EiberiD· 1 shared Rickmer BrareniD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Donna Pauler AnkerstORCID

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1 paper

Recent·Most cited

BioinformaticsEuropean Radiology ExperimentalPeer-reviewedOct 17, 2019

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…·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.

79 citationstop 2%

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