Bruno Märkl

According to our database, Bruno Märkl authored at least 5 papers between 2023 and 2026.

Collaborative distances:

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

2026

Class Visualizations and Activation Atlases for Enhancing Interpretability in Deep Learning-Based Computational Pathology.

Marco Gustav, Fabian Wolf, Christina Glasner, Nic G. Reitsam, Stefan Schulz, Kira Aschenbroich, Bruno Märkl, Sebastian Foersch, Jakob Nikolas Kather

CoRR, March, 2026

2024

Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning.

Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß, Bruno Märkl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder, Maria Kalweit

PLoS Comput. Biol., 2024

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

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler

CoRR, 2024

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

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Daniel Hieber, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Frank Kramer, Iñaki Soto Rey, Johannes Raffler

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset.

Daniel Hieber, Georg Prokop, Maximilian Karthan, Felix Holl, Hans A. Kestler, Gregor Grambow, Bruno Märkl, Rüdiger Pryss, Friederike Liesche-Starnecker, Johannes Schobel

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023