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2020 – today
- 2024
[j9]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:
Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. npj Digit. Medicine 7(1) (2024)- [j8]Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer:
ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets. Pattern Recognit. 147: 110138 (2024) - [c8]Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr:
Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. GMDS 2024: 139-145 - [c7]Igor Nesterow, Markus Wolfien:
A Hybrid-Approach for Privacy Preserving Record Linkage - A Case Study from Germany. MIE 2024: 43-47 - [c6]Katja Hoffmann, Richard Gebler, Sophia Grummt, Yuan Peng, Ines Reinecke, Markus Wolfien, Martin Sedlmayr:
A Concept for Integrating AI-Based Support Systems into Clinical Practice. MIE 2024: 643-644 - [c5]Najia Ahmadi, Katja Hoffmann, Jan-Niklas Eckardt, Martin Sedlmayr, Markus Wolfien:
Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration. MIE 2024: 1472-1476 - 2023
- [c4]Najia Ahmadi, Michele Zoch, Brita Sedlmayr, Katharina Schuler, Waldemar Hahn, Martin Sedlmayr, Markus Wolfien:
Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept. ICIMTH 2023: 139-140 - 2022
- [c3]Waldemar Hahn, Martin Sedlmayr, Markus Wolfien:
Word2Vec Embeddings for Categorical Values in Synthetic Tabular Generation. CSCI 2022: 613-622 - [i3]Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer:
Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets. CoRR abs/2206.09812 (2022) - 2021
- [j7]Saptarshi Bej, Kristian Schulz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets. IEEE Access 9: 123358-123374 (2021) - [j6]Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer:
Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling. BMC Bioinform. 22(1): 557 (2021) - [j5]Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer:
LoRAS: an oversampling approach for imbalanced datasets. Mach. Learn. 110(2): 279-301 (2021) - [c2]Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets. IJCNN 2021: 1-8 - [i2]Saptarshi Bej, Kristian Schultz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer:
A multi-schematic classifier-independent oversampling approach for imbalanced datasets. CoRR abs/2107.07349 (2021) - 2020
- [b1]Markus Wolfien:
Customized workflow development and omics data integration concepts in systems medicine. Rostock University, Germany, 2020
2010 – 2019
- 2019
- [i1]Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer:
LoRAS: An oversampling approach for imbalanced datasets. CoRR abs/1908.08346 (2019) - 2017
- [j4]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:
The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy. Nucleic Acids Res. 45(Webserver-Issue): W560-W566 (2017) - 2016
- [j3]Markus Wolfien, Christian Rimmbach, Ulf Schmitz, Julia Jeannine Jung, Stefan Krebs, Gustav Steinhoff, Robert David, Olaf Wolkenhauer:
TRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotation. BMC Bioinform. 17: 21 (2016) - [j2]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:
Toward Community Standards and Software for Whole-Cell Modeling. IEEE Trans. Biomed. Eng. 63(10): 2007-2014 (2016) - 2015
- [j1]Rebekka Alm, Dagmar Waltemath, Markus Wolfien, Olaf Wolkenhauer, Ron Henkel:
Annotation-based feature extraction from sets of SBML models. J. Biomed. Semant. 6: 20 (2015) - 2014
- [c1]Martin Scharm, Florian Wendland, Martin Peters, Markus Wolfien, Tom Theile, Dagmar Waltemath:
The CombineArchiveWeb Application - A Web-based Tool to Handle Files Associated with Modelling Results. SWAT4LS 2014
Coauthor Index
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