Markus Wolfien

According to our database, Markus Wolfien authored at least 22 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints.

Waldemar Hahn, Jan-Niklas Eckardt, Christoph Röllig, Martin Sedlmayr, Jan Moritz Middeke, Markus Wolfien

CoRR, May, 2025

From Polar Bears to People: The Role of Ethnic Genetic Variation in Thermoregulation and Heat-Related Health Risk.

Alexandra Baumann, Jakob Thiel, Nina Haffer, Shailendra Gupta, Markus Wolfien

Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025

2024

ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets.

Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer

Pattern Recognit., March, 2024

Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence.

Jan-Niklas Eckardt, Waldemar Hahn, Christoph Röllig, Sebastian Stasik, Uwe Platzbecker, Carsten Müller-Tidow, Hubert Serve, Claudia D. Baldus, Christoph Schliemann, Kerstin Schäfer-Eckart, Maher Hanoun, Martin Kaufmann, Andreas Burchert, Christian Thiede, Johannes Schetelig, Martin Sedlmayr, Martin Bornhäuser, Markus Wolfien, Jan Moritz Middeke

npj Digit. Medicine, 2024

A Hybrid-Approach for Privacy Preserving Record Linkage - A Case Study from Germany.

Igor Nesterow, Markus Wolfien

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

A Concept for Integrating AI-Based Support Systems into Clinical Practice.

Katja Hoffmann, Richard Gebler, Sophia Grummt, Yuan Peng, Ines Reinecke, Markus Wolfien, Martin Sedlmayr

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration.

Najia Ahmadi, Katja Hoffmann, Jan-Niklas Eckardt, Martin Sedlmayr, Markus Wolfien

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care.

Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

2023

Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept.

Najia Ahmadi, Michele Zoch, Brita Sedlmayr, Katharina Schuler, Waldemar Hahn, Martin Sedlmayr, Markus Wolfien

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets.

Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer

CoRR, 2022

Word2Vec Embeddings for Categorical Values in Synthetic Tabular Generation.

Waldemar Hahn, Martin Sedlmayr, Markus Wolfien

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

LoRAS: an oversampling approach for imbalanced datasets.

Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer

Mach. Learn., 2021

A multi-schematic classifier-independent oversampling approach for imbalanced datasets.

Saptarshi Bej, Kristian Schultz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer

CoRR, 2021

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling.

Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer

BMC Bioinform., 2021

A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets.

Saptarshi Bej, Kristian Schulz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer

IEEE Access, 2021

Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets.

Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Customized workflow development and omics data integration concepts in systems medicine

Markus Wolfien

PhD thesis, 2020

2017

The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy.

Björn A. Grüning, Jörg Fallmann, Dilmurat Yusuf, Sebastian Will, Anika Erxleben, Florian Eggenhofer, Torsten Houwaart, Bérénice Batut, Pavankumar Videm, Andrea Bagnacani, Markus Wolfien, Steffen Lott, Youri Hoogstrate, Wolfgang R. Hess, Olaf Wolkenhauer, Steve Hoffmann, Altuna Akalin, Uwe Ohler, Peter F. Stadler, Rolf Backofen

Nucleic Acids Res., 2017

2016

Toward Community Standards and Software for Whole-Cell Modeling.

Dagmar Waltemath, Jonathan R. Karr, Frank T. Bergmann, Vijayalakshmi Chelliah, Michael Hucka, Marcus Krantz, Wolfram Liebermeister, Pedro Mendes, Chris J. Myers, Pinar Pir, Begum Alaybeyoglu, Naveen K. Aranganathan, Kambiz Baghalian, Arne T. Bittig, Paulo E. Pinto Burke, Matteo Cantarelli, Yin Hoon Chew, Rafael S. Costa, Joseph Cursons, Tobias Czauderna, Arthur P. Goldberg, Harold F. Gómez, Jens Hahn, Tuure Hameri, Daniel F. Hernandez Gardiol, Denis Kazakiewicz, Ilya Kiselev, Vincent Knight-Schrijver, Christian Knüpfer, Matthias König, Daewon Lee, Audald Lloret-Villas, Nikita Mandrik, J. Kyle Medley, Bertrand Moreau, Hojjat Naderi-Meshkin, Sucheendra K. Palaniappan, Daniel Priego-Espinosa, Martin Scharm, Mahesh Sharma, Kieran Smallbone, Natalie J. Stanford, Je-Hoon Song, Tom Theile, Milenko Tokic, Namrata Tomar, Vasundra Touré, Jannis Uhlendorf, Thawfeek M. Varusai, Leandro H. Watanabe, Florian Wendland, Markus Wolfien, James T. Yurkovich, Yan Zhu, Argyris Zardilis, Anna Zhukova, Falk Schreiber

IEEE Trans. Biomed. Eng., 2016

TRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotation.

Markus Wolfien, Christian Rimmbach, Ulf Schmitz, Julia Jeannine Jung, Stefan Krebs, Gustav Steinhoff, Robert David, Olaf Wolkenhauer

BMC Bioinform., 2016

2015

Annotation-based feature extraction from sets of SBML models.

Rebekka Alm, Dagmar Waltemath, Markus Wolfien, Olaf Wolkenhauer, Ron Henkel

J. Biomed. Semant., 2015

2014

The CombineArchiveWeb Application - A Web-based Tool to Handle Files Associated with Modelling Results.

Martin Scharm, Florian Wendland, Martin Peters, Markus Wolfien, Tom Theile, Dagmar Waltemath

Proceedings of the 7th International Workshop on Semantic Web Applications and Tools for Life Sciences, 2014