Alexander Katzmann

According to our database, Alexander Katzmann authored at least 10 papers between 2014 and 2026.

Collaborative distances:

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

2026

A robust sampling technique for realistic distribution simulation in federated learning.

Robin Hoepp, Leonhard Rist, Alexander Katzmann, Raghavan Ashok, Andreas Wimmer, Michael Sühling, Andreas Maier

Int. J. Comput. Assist. Radiol. Surg., March, 2026

Hybrid Vessel Wall Segmentation for Assisted Annotation in CT Angiography.

Jacopo Bracci, Alexander Katzmann, Leonhard Rist, Linda Vorberg, Michael Sühling, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15, 2026

2025

An LLM-Based Active Assistant and Smart Manual for CT Imaging Workflows.

Zeinab Aliakbari Mamaghani, Linda Vorberg, Andreas K. Maier, Alexander Katzmann, Oliver Taubmann

Proceedings of the Emerging LLM/LMM Applications in Medical Imaging, 2025

Scan-Do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent.

Xingjian Kang, Linda Vorberg, Andreas K. Maier, Alexander Katzmann, Oliver Taubmann

Proceedings of the AI for Clinical Applications - First International Workshops, 2025

2021

Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization.

Alexander Katzmann, Oliver Taubmann, Stephen Ahmad, Alexander Mühlberg, Michael Sühling, Horst-Michael Groß

Neurocomputing, 2021

2020

Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data.

Alexander Katzmann, Alexander Muehlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Gross

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model.

Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Stefan Maurus, Julian Walter Holch, Volker Heinemann, Horst-Michael Groß

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Deep Metamemory - A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth Prediction.

Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Horst-Michael Groß

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment.

Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Groß

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2014

Mobile Assessment Tools.

Karsten Henke, Klaus Debes, Heinz-Dietrich Wuttke, Alexander Katzmann

Int. J. Recent Contributions Eng. Sci. IT, 2014