Alexander Mühlberg

According to our database, Alexander Mühlberg authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Appearance-based Debiasing of Deep Learning Models in Medical Imaging.

Frauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Digital staining in optical microscopy using deep learning - a review.

Lucas Kreiss, Shaowei Jiang, Xiang Li, Shiqi Xu, Kevin C. Zhou, Alexander Mühlberg, Kyung Chul Lee, Kanghyun Kim, Amey Chaware, D. Michael Ando, Laura Barisoni, Seung Ah Lee, Guoan Zheng, Kyle Lafata, Oliver Friedrich, Roarke Horstmeyer

CoRR, 2023

Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression.

Leonhard Rist, Oliver Taubmann, Alexander Mühlberg, Felix Denzinger, Florian Thamm, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Stefan Maurus, Leonie Gebauer, Thomas Huber, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome.

Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology.

Alexander Mühlberg, Paul Ritter, Simon Langer, Chloë Goossens, Stefanie Nübler, Dominik Schneidereit, Oliver Taubmann, Felix Denzinger, Dominik Nörenberg, Michael Haug, Wolfgang H. Goldmann, Andreas K. Maier, Oliver Friedrich, Lucas Kreiss

CoRR, 2022

DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images.

Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg

CoRR, 2022

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

General purpose radiomics for multi-modal clinical research.

Michael G. Wels, Félix Lades, Alexander Muehlberg, Michael Sühling

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 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