Author

Jonas Bäcker

Observed name: Bäcker, Jonas

Institutions: University Hospital Augsburg, Helmholtz Munich, Technical University of Munich

Observed institutions: University Hospital Augsburg, Helmholtz Munich, Technical University of Munich

ORCID: 0009-0005-2390-0508

Observed ORCID: 0009-0005-2390-0508

OpenAlex ID: A5065916910

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks

2024 · Müller, Dominik, Meyer, Philip, et al. · arXiv (Cornell University) · 14

Do explainable AI ( XAI ) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading

2025 · Robin Manz, Jonas Bäcker, et al. · The Journal of Pathology Clinical Research · 13

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer

2024 · Dominik Müller, Philip Meyer, et al. · Studies in health technology and informatics · 3

CommonLang: a DSL for defining robot tasks

2018 · Adrian Rutle, Jonas Bäcker, et al. · NORA - Norwegian Open Research Archives · 3

Perceived image quality and diagnostic sufficiency of whole slide imaging scanners: a pathologist‐centred evaluation

2026 · Jonas Bäcker, Christoph Wengenmayr, et al. · Histopathology · 1

User Experience and Trust Improvement Evaluation on Healthcare oriented Explainable Artificial Intelligence Interventions: Systematic Review (Preprint)

2025 · Samantha Cramer, Elina Gastreich-de-Llanes, et al.

Works count: 6

Citation count: 34

H-index: 3

I10-index: 2