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Journal Articles
- 2024
[j2]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: 108618 (2024)- 2021
- [j1]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: 141-156 (2021)
Conference and Workshop Papers
- 2024
- [c8]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: 19-24 - 2023
- [c7]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: 177-182 - [c6]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: 1-5 - 2020
- [c5]Alexander Katzmann, Alexander Muehlberg, Michael Sühling, Dominik Nörenberg, Julian Walter Holch, Horst-Michael Gross:
Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data. ISBI 2020: 1543-1547 - 2019
- [c4]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: 1298-1302 - [c3]Michael G. Wels, Félix Lades, Alexander Muehlberg, Michael Sühling:
General purpose radiomics for multi-modal clinical research. Computer-Aided Diagnosis 2019: 1095046 - [c2]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: 73-80 - 2018
- [c1]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: 1-8
Informal and Other Publications
- 2023
- [i4]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 abs/2303.08140 (2023) - 2022
- [i3]Simon Langer, Oliver Taubmann, Felix Denzinger, Andreas K. Maier, Alexander Mühlberg:
DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images. CoRR abs/2205.13297 (2022) - [i2]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 abs/2210.16273 (2022) - 2020
- [i1]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 abs/2010.05759 (2020)
Coauthor Index
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