Alexander Mühlberg

12 papers B 1Journal 6Unranked 5

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