Ralf Huss

According to our database, Ralf Huss authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Deep Learning-Based Fixation Type Prediction for Quality Assurance in Digital Pathology.

Oskar Thaeter, Tanja Niedermair, Jan E. G. Albin, Johannes Raffler, Ralf Huss, Peter J. Schüffler

CoRR, February, 2026

2025

A Multicenter Benchmark of Multiple Instance Learning Models for Lymphoma Subtyping from HE-stained Whole Slide Images.

Rao Muhammad Umer, Daniel Sens, Jonathan Noll, Christian Matek, Lukas Wolfseher, Rainer Spang, Ralf Huss, Johannes Raffler, Sarah Reinke, Wolfram Klapper, Katja Steiger, Kristina Schwamborn, Carsten Marr

CoRR, December, 2025

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