Jonas Scherer

According to our database, Jonas Scherer authored at least 11 papers between 2019 and 2025.

Collaborative distances:

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

2025

Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments.

Ünal Akünal, Markus Bujotzek, Stefan Denner, Benjamin Hamm, Klaus Kades, Philipp Schader, Jonas Scherer, Marco Nolden, Peter Neher, Ralf Floca, Klaus H. Maier-Hein

CoRR, December, 2025

Eye tracking in the real world: a graph-theoretical analysis and comparison to virtual realty.

Jasmin L. Walter, Debora Nolte, Paula Vondrlik, Lane von Bassewitz, Luna Döring, Jonas Scherer, Martin M. Müller, Peter König

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke.

Gianluca Brugnara, Michael Baumgartner, Edwin D. Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa A. Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus H. Maier-Hein, Philipp Vollmuth

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Decentralized Infrastructure for Medical Image Analysis - The Development and Establishment of Kaapana as an Open Framework for Imaging Platforms in Clinical Environments

Jonas Scherer

PhD thesis, 2023

Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications.

Stefan Denner, Jonas Scherer, Klaus Kades, Dimitrios Bounias, Philipp Schader, Lisa Kausch, Markus Bujotzek, Andreas Michael Bucher, Tobias Penzkofer, Klaus H. Maier-Hein

Proceedings of the Data Engineering in Medical Imaging - First MICCAI Workshop, 2023

Abstract: Towards Real-world Federated Learning in Medical Image Analysis using Kaapana.

Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Towards Real-World Federated Learning in Medical Image Analysis Using Kaapana.

Klaus Kades, Jonas Scherer, Maximilian Zenk, Marius Kempf, Klaus H. Maier-Hein

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Efficient DICOM Image Tagging and Cohort Curation Within Kaapana.

Klaus Kades, Jonas Scherer, Jan Scholtyssek, Tobias Penzkofer, Marco Nolden, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform.

Maximilian Fischer, Philipp Schader, Rickmer Braren, Michael Götz, Alexander Muckenhuber, Wilko Weichert, Peter J. Schüffler, Jens Kleesiek, Jonas Scherer, Klaus Kades, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Abstract: Joint Imaging Platform for Federated Clinical Data Analytics.

Jonas Scherer, Marco Nolden, Jens Kleesiek, Jasmin Metzger, Klaus Kades, Verena Schneider, Hanno Gao, Peter Neher, Ralf Floca, Heinz-Peter Schlemmer, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2019

Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images.

Tobias Stein, Jasmin Metzger, Jonas Scherer, Fabian Isensee, Tobias Norajitra, Jens Kleesiek, Klaus H. Maier-Hein, Marco Nolden

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019