Publications

Roman C Maron, Achim Hekler, Sarah Haggenmüller, Christof von Kalle, Jochen S Utikal, Verena Müller, Maria Gaiser, Friedegund Meier, Sarah Hobelsberger, Frank F Gellrich, Mildred Sergon, Axel Hauschild, Lars E French, Lucie Heinzerling, Justin G Schlager, Kamran Ghoreschi, Max Schlaak, Franz J Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V Heppt, Michael Erdmann, Sebastian Haferkamp, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob N Kather, Stefan Fröhling, Daniel B Lipka, Eva Krieghoff-Henning, und Titus J Brinker. Model soups improve performance of dermoscopic skin cancer classifiers. Eur. J. Cancer, (173):307--316, Elsevier BV, September 2022. [PUMA: Artificial Calibration; Deep Dermatology; Ensembles; Generalisation; Melanoma; Model Nevus; Robustness intelligence; learning; soups; topic_lifescience]

Bian Li, Jeffrey Mendenhall, John A Capra, und Jens Meiler. A multitask deep-learning method for predicting membrane associations and secondary structures of proteins. J. Proteome Res., (20)8:4089--4100, American Chemical Society (ACS), August 2021. [PUMA: convolutional deep learning; long memory multitask networks; neural prediction prediction; secondary short-term structure topic_lifescience topology transmembrane]

Alexander Kurz, Katja Hauser, Hendrik Alexander Mehrtens, Eva Krieghoff-Henning, Achim Hekler, Jakob Nikolas Kather, Stefan Fröhling, Christof von Kalle, und Titus Josef Brinker. Uncertainty estimation in medical image classification: Systematic review. JMIR Med. Inform., (10)8:e36427, August 2022. [PUMA: calibration; classification; deep detection; estimation image imaging; learning; medical network out-of-distribution topic_lifescience uncertainty]

Ali Al-Fatlawi, Negin Malekian, Sebastián Garc\'ıa, Andreas Henschel, Ilwook Kim, Andreas Dahl, Beatrix Jahnke, Peter Bailey, Sarah Naomi Bolz, Anna R Poetsch, Sandra Mahler, Robert Grützmann, Christian Pilarsky, und Michael Schroeder. Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, Mai 2021. [PUMA: association cancer; chronic deep learning; pancreatic pancreatitis; study topic_lifescience transcriptome-wide]

Benjamin P Brown, Oanh Vu, Alexander R Geanes, Sandeepkumar Kothiwale, Mariusz Butkiewicz, Edward W Lowe, Jr, Ralf Mueller, Richard Pape, Jeffrey Mendenhall, und Jens Meiler. Introduction to the BioChemical Library (BCL): An application-based open-source toolkit for integrated cheminformatics and machine learning in computer-aided drug discovery. Front. Pharmacol., (13):833099, Frontiers Media SA, Februar 2022. [PUMA: BCL; QSAR; biochemical cheminformatics; deep design; discovery; drug library; network; neural open-source topic_lifescience]