Alexander Mühlberg

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Clinical Decision Support Systems

Colorectal Cancer

Medical Imaging

Top Venues

Bildverarbeitung für die Medizin

Comput. Biol. Medicine

Publications

Frauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger
Appearance-based Debiasing of Deep Learning Models in Medical Imaging. Bildverarbeitung für die Medizin (2024)
Dominik Schneidereit, Julian Bauer, Sofia Mnuskina, Stefanie Nübler, Nicola Cacciani, Alexander Mühlberg, Lucas Kreiss, Paul Ritter, Sebastian Schürmann, Lars Larsson, Oliver Friedrich
CAS3D: 3D quantitative morphometry on Second Harmonic Generation image volumes from single skeletal muscle fibers. Comput. Biol. Medicine 178 (2024)
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
Digital staining in optical microscopy using deep learning - a review. CoRR (2023)
Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg
Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome. Bildverarbeitung für die Medizin (2023)
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
Spatial Lesion Graphs: Analyzing Liver Metastases with Geometric Deep Learning for Cancer Survival Regression. ISBI (2023)
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
SEMPAI: a Self-Enhancing Multi-Photon Artificial Intelligence for prior-informed assessment of muscle function and pathology. CoRR (2022)
Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images. CoRR (2022)
Alexander Katzmann, Oliver Taubmann, Stephen Ahmad, Alexander Mühlberg, Michael Sühling, Horst-Michael Groß
Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization. Neurocomputing 458 (2021)
Alexander Katzmann, Oliver Taubmann, Stephen Ahmad, Alexander Mühlberg, Michael Sühling, Horst-Michael Groß
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization. CoRR (2020)
Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Horst-Michael Groß
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. ISBI (2019)
Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Stefan Maurus, Julian Walter Holch, Volker Heinemann, Horst-Michael Groß
Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model. PRIME@MICCAI (2019)
Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Groß
TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment. IJCNN (2018)