Markus Wolfien

28 papers B 1Journal 15Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generating reliable synthetic clinical trial Data: The role of hyperparameter optimization and domain constraints. Inf. Sci. Waldemar Hahn, Jan-Niklas Eckardt, Christoph Röllig, Martin Sedlmayr, Jan Moritz Middeke, Markus Wolfien
2025	—	`conf`	Exploring Vendor-Neutral SMART on FHIR Infrastructure for Secure Data Exchange in Research and Patient Care. SWAT4HCLS Katja Hoffmann, Eveline Prochaska, Markus Wolfien, Martin Sedlmayr
2025	—	`conf`	From Broad Consent to Patient Engagement: A Framework for Consent Management and Study Oversight. GMDS Anne Pelz, Philipp Heinrich, Gabriele Mueller, Anne Seim, Peter Penndorf, Martin Bialke, Martin Sedlmayr, Ines Reinecke, Markus Wolfien, Katja Hoffmann
2025	—	`conf`	From Polar Bears to People: The Role of Ethnic Genetic Variation in Thermoregulation and Heat-Related Health Risk. BIOSTEC (1) Alexandra Baumann, Jakob Thiel, Nina Haffer, Shailendra Gupta, Markus Wolfien
2025	—	`conf`	GeMTeX's De-Identification in Action: Lessons Learned & Devil's Details. GMDS Christina Lohr, Jakob Faller, Andrea Riedel, Hung Manh Nguyen, Markus Wolfien, Justin Hofenbitzer, Luise Modersohn, Jutta Romberg, Fabian Prasser, Jazia Omeirat, Yutong Wen, Oksana Galusch, Udo Hahn, Marvin Seiferling, Christoph Dieterich, Peter Klügl, Franz Matthies, Janina Kind, Martin Boeker, Markus Löffler, Frank A. Meineke
2025	J	`jnl`	Generating Reliable Synthetic Clinical Trial Data: The Role of Hyperparameter Optimization and Domain Constraints. CoRR Waldemar Hahn, Jan-Niklas Eckardt, Christoph Röllig, Martin Sedlmayr, Jan Moritz Middeke, Markus Wolfien
2025	J	`jnl`	Phase-specific kidney graft failure prediction with machine learning model. Frontiers Artif. Intell. Amankeldi A. Salybekov, Markus Wolfien, Ainur Yerkos, Zholdas Buribayev, Sumi Hidaka, Shuzo Kobayashi
2024	—	`conf`	A Concept for Integrating AI-Based Support Systems into Clinical Practice. MIE Katja Hoffmann, Richard Gebler, Sophia Grummt, Yuan Peng, Ines Reinecke, Markus Wolfien, Martin Sedlmayr
2024	—	`conf`	A Hybrid-Approach for Privacy Preserving Record Linkage - A Case Study from Germany. MIE Igor Nesterow, Markus Wolfien
2024	J	`jnl`	ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets. Pattern Recognit. Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer
2024	J	`jnl`	Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence. npj Digit. Medicine 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
2024	—	`conf`	Synthetic Data Generation in Hematology - Paving the Way for OMOP and FHIR Integration. MIE Najia Ahmadi, Katja Hoffmann, Jan-Niklas Eckardt, Martin Sedlmayr, Markus Wolfien
2024	—	`conf`	Towards Standardizing Ophthalmic Data for Seamless Interoperability in Eye Care. GMDS Katja Hoffmann, Yuan Peng, Tobias Schlosser, Gabriel Stolze, Holger Langner, Marcel Susky, Trixy Meyer, Marc Ritter, Danny Kowerko, Vinodh Kakkassery, Markus Wolfien, Martin Sedlmayr
2023	—	`conf`	Context-Sensitive Common Data Models for Genetic Rare Diseases - A Concept. ICIMTH Najia Ahmadi, Michele Zoch, Brita Sedlmayr, Katharina Schuler, Waldemar Hahn, Martin Sedlmayr, Markus Wolfien
2022	J	`jnl`	Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets. CoRR Kristian Schultz, Saptarshi Bej, Waldemar Hahn, Markus Wolfien, Prashant Srivastava, Olaf Wolkenhauer
2022	—	`conf`	Word2Vec Embeddings for Categorical Values in Synthetic Tabular Generation. CSCI Waldemar Hahn, Martin Sedlmayr, Markus Wolfien
2021	J	`jnl`	A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets. IEEE Access Saptarshi Bej, Kristian Schulz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer
2021	J	`jnl`	A multi-schematic classifier-independent oversampling approach for imbalanced datasets. CoRR Saptarshi Bej, Kristian Schultz, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer
2021	J	`jnl`	Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling. BMC Bioinform. Saptarshi Bej, Anne-Marie Galow, Robert David, Markus Wolfien, Olaf Wolkenhauer
2021	B	`conf`	Combining uniform manifold approximation with localized affine shadowsampling improves classification of imbalanced datasets. IJCNN Saptarshi Bej, Prashant Srivastava, Markus Wolfien, Olaf Wolkenhauer
2021	J	`jnl`	LoRAS: an oversampling approach for imbalanced datasets. Mach. Learn. Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer
2020	—	`—`	Customized workflow development and omics data integration concepts in systems medicine Markus Wolfien
2019	J	`jnl`	LoRAS: An oversampling approach for imbalanced datasets. CoRR Saptarshi Bej, Narek Davtyan, Markus Wolfien, Mariam Nassar, Olaf Wolkenhauer
2017	J	`jnl`	The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy. Nucleic Acids Res. 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
2016	J	`jnl`	TRAPLINE: a standardized and automated pipeline for RNA sequencing data analysis, evaluation and annotation. BMC Bioinform. Markus Wolfien, Christian Rimmbach, Ulf Schmitz, Julia Jeannine Jung, Stefan Krebs, Gustav Steinhoff, Robert David, Olaf Wolkenhauer
2016	J	`jnl`	Toward Community Standards and Software for Whole-Cell Modeling. IEEE Trans. Biomed. Eng. 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
2015	J	`jnl`	Annotation-based feature extraction from sets of SBML models. J. Biomed. Semant. Rebekka Alm, Dagmar Waltemath, Markus Wolfien, Olaf Wolkenhauer, Ron Henkel
2014	—	`conf`	The CombineArchiveWeb Application - A Web-based Tool to Handle Files Associated with Modelling Results. SWAT4LS Martin Scharm, Florian Wendland, Martin Peters, Markus Wolfien, Tom Theile, Dagmar Waltemath