Stefan Bonn

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 17

Top Topics

Differentially Expressed

Expression Profiles

Microscopic Images

Top Venues

J. Comput. Biol.

Publications

Anna-Maria Liebhoff, Kevin Menden, Alena Laschtowitz, Andre Franke, Christoph Schramm, Stefan Bonn
Pathogen detection in RNA-seq data with Pathonoia. BMC Bioinform. 24 (1) (2023)
Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn
Deep Learning-Based Discrete Calibrated Survival Prediction. CoRR (2022)
Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn
Deep Learning-Based Discrete Calibrated Survival Prediction. ICDH (2022)
Robin Khatri, Stefan Bonn
Uncertainty Estimation for Single-cell Label Transfer. COPA (2022)
Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. CoRR (2021)
Daniel Summer Magruder, Anna-Maria Liebhoff, Jörn Bethune, Stefan Bonn
Interactive gene networks with KNIT. Bioinform. 37 (2) (2021)
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images. MIUA (2021)
Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. ML4H@NeurIPS (2021)
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn
Deep learning-based bias transfer for overcoming laboratory differences of microscopic images. CoRR (2021)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Explainable Deep Learning for Augmentation of Small RNA Expression Profiles. J. Comput. Biol. 27 (2) (2020)
Raza-Ur Rahman, Anna-Maria Liebhoff, Vikas Bansal, Maksims Fiosins, Ashish Rajput, Abdul Sattar, Daniel Summer Magruder, Sumit Madan, Ting Sun, Abhivyakti Gautam, Sven Heins, Timur Liwinski, Jörn Bethune, Claudia Trenkwalder, Juliane Fluck, Brit Mollenhauer, Stefan Bonn
SEAweb: the small RNA Expression Atlas web application. Nucleic Acids Res. 48 (Database-Issue) (2020)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Explainable Deep Learning for Augmentation of sRNA Expression Profiles. CoRR (2019)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. CoRR (2019)
Jelena Fiosina, Maksims Fiosins, Stefan Bonn
Deep Learning and Random Forest-Based Augmentation of sRNA Expression Profiles. ISBRA (2019)
Raza-Ur Rahman, Abhivyakti Gautam, Jörn Bethune, Abdul Sattar, Maksims Fiosins, Daniel Summer Magruder, Vincenzo Capece, Orr Shomroni, Stefan Bonn
Oasis 2: improved online analysis of small RNA-seq data. BMC Bioinform. 19 (1) (2018)
Sumit Madan, Maksims Fiosins, Stefan Bonn, Juliane Fluck
A semantic data integration methodology for translational neurodegenerative disease research. SWAT4LS (2018)
Daniel Summer Magruder, Stefan Bonn
Root demotion: efficient post-processing of layered graphs to reduce dummy vertices for hierarchical graph drawing. J. Graph Algorithms Appl. 21 (6) (2017)
Vincenzo Capece, Julio C. Garcia Vizcaino, Ramon Vidal, Raza-Ur Rahman, Tonatiuh Pena Centeno, Orr Shomroni, Irantzu Suberviola, André Fischer, Stefan Bonn
Oasis: online analysis of small RNA deep sequencing data. Bioinform. 31 (13) (2015)