Dr. Markus Wenzel is a senior scientist in the Artificial Intelligence department of Fraunhofer HHI in Berlin, where he applies machine learning to the life sciences and medicine. Dr. Wenzel has contributed to explainable AI for protein language models and to machine learning in brain-computer-interfacing and medical imaging, as published in 20 journal papers. Currently, he is involved in the AI/AR Microscope project (with Fraunhofer USA Center Mid-Atlantic CMA) and the Testing and Experimentation Facility for Health AI and Robotics (TEF-Health).
Recent publications (2019-present)
Articles in Journals
2025
- Karim Lekadir, Alejandro Frangi, Antonio Porras, Ben Glocker, Celia Cintas, Curtis Langlotz, Eva Weicken, Folkert Asselbergs, Fred Prior, Gary Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck Amugongo, Lauren Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis Martí-Bonmatí, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, Maria Zuluaga, Marie-Christine Fritzsche, Marina Camacho, Marius George Linguraru, Markus Wenzel, Marleen De Bruijne, Martin Tolsgaard, Melanie Goisauf, Mónica Cano Abadía, Nikolaos Papanikolaou, Noussair Lazrak, Oriol Pujol, Richard Osuala, Sandy Napel, Sara Colantonio, Smriti Joshi, Stefan Klein, Susanna Aussó, Wendy Rogers, Zohaib Salahuddin, Martijn Starmans
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare,
BMJ, BMJ Publishing Group Ltd, vol. 388, p. e081554, February 2025, doi: 10.1136/bmj-2024-081554, Open Access
2024
- Markus Wenzel, Erik Grüner, Nils Strodthoff
Insights into the inner workings of transformer models for protein function prediction,
Bioinformatics, Oxford University Press, ISSN: 1367-4811, p. btae031, January 2024, doi: 10.1093/bioinformatics/btae031, Open Access
2023
- Jose Albites-Sanabria, Barry R Greene, Killian McManus, Luca Palmerini, Pierpaolo Palumbo, Inês Sousa, Kimberley S van Schooten, Eva Weicken, Markus Wenzel
Fall risk stratification of community-living older people. Commentary on the world guidelines for fall prevention and management,
Age and Ageing, ISSN: 1468-2834, vol. 52, no. 10, p. afad162, October 2023, doi: https://doi.org/10.1093/ageing/afad162, Open Access - Maximilian Springenberg, Annika Frommholz, Markus Wenzel, Eva Weicken, Jackie Ma, Nils Strodthoff
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology,
Medical Image Analysis, Elsevier, ISSN: 1361-8415, April 2023, doi: 10.1016/j.media.2023.102809, arXiv: https://arxiv.org/abs/2204.05044
2021
- Sandeep Reddy, Wendy Rogers, Ville-Petteri Makinen, Enrico Coeira, Pieta Brown, Markus Wenzel, Eva Weicken, Saba Ansari, Piyush Mathur, Aaron Casey, Blair Kelly
Evaluation framework to guide implementation of AI systems into healthcare settings,
BMJ Health & Care Informatics , BMJ, vol. 28, no. 1, p. e100444, October 2021, doi: 10.1136/bmjhci-2021-100444, Open Access - Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Akogo, Shada Alsalamah, Emre Kazim, Adriano Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saul Calderon-Ramirez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
Machine Learning for Health: Algorithm Auditing & Quality Control,
Journal of Medical Systems, vol. 45, p. 105, October 2021, doi: 10.1007/s10916-021-01783-y
2020
- Markus Wenzel, Thomas Wiegand
Toward Global Validation Standards for Health AI,
IEEE Communications Standards Magazine , IEEE, ISSN: 2471-2833, vol. 4, no. 3, pp. 64-69, September 2020, doi: https://doi.org/10.1109/MCOMSTD.001.2000006, Invited Paper - Felix Sattler, Jackie Ma, Patrick Wagner, David Neumann, Markus Wenzel, Ralf Schäfer, Wojciech Samek, Klaus-Robert Müller, Thomas Wiegand
Risk Estimation of SARS-CoV-2 Transmission from Bluetooth Low Energy Measurements,
Nature Digital Medicine, September 2020, doi: 10.1038/s41746-020-00340-0, Open Access - Johanna Vielhaben, Markus Wenzel, Wojciech Samek, Nils Strodthoff
USMPep: Universal Sequence Models for Major Histocompatibility Complex Binding Affinity Prediction,
BMC Bioinformatics, vol. 21, p. 279, July 2020, doi: 10.1186/s12859-020-03631-1, Open Access - Nils Strodthoff, Patrick Wagner, Markus Wenzel, Wojciech Samek
UDSMProt: Universal Deep Sequence Models for Protein Classification,
Bioinformatics, btaa003, Oxford University Press, vol. 36, no. 8, pp. 2401-2409, January 2020, doi: 10.1093/bioinformatics/btaa003
2019
- Thomas Wiegand, Ramesh Krishnamurthy, Monique Kuglitsch, Naomi Lee, Sameer Pujari, Marcel Salathé, Markus Wenzel, Shan Xu
WHO and ITU establish benchmarking process for artificial intelligence in health,
THE LANCET, Elsevier Ltd., ISSN: 0140-6736, March 2019, doi: 10.1016/S0140-6736(19)30762-7
Conference Contributions
2024
- Rohan Reddy Mekala, Frederik Pahde, Simon Baur, Sneha Chandrashekar, Madeline Diep, Markus Wenzel, Eric Wisotzky, Galip Ümit Yolcu, Sebastian Lapuschkin, Jackie Ma, Peter Eisert, Mikael Lindvall, Adam Porter, Wojciech Samek
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization,
ECCV'24 Workshop on Synthetic Data for Computer Vision (SyntheticData4CV), Milano, Italy, September 2024
2021
- Johanna Vielhaben, Markus Wenzel, Eva Weicken, Nils Strodthoff
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks,
ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics, virtual, May 2021, arXiv: https://arxiv.org/abs/2104.08237
2019
- Markus Wenzel, Thomas Wiegand
Towards International Standards for the Evaluation of Artificial Intelligence for Health,
ITU Kaleidoscope 2019: ICT for Health: Networks, standards and innovation, Atlanta, USA, pp. 1-10, December 2019, doi: 10.23919/ITUK48006.2019.8996131, Invited Paper - Johanna Vielhaben, Hüseyin Camalan, Wojciech Samek, Markus Wenzel
Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning,
IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, pp. 74-81, December 2019, doi: 10.1109/AIVR46125.2019.00020