TumorEncode - Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment. - Alexander Katzmann; Alexander Mühlberg; Michael Sühling; Dominik Nörenberg; Julian Walter Holch; Horst-Michael Groß (IJCNN, 2018)

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 (ISBI, 2019)

General purpose radiomics for multi-modal clinical research. - Michael G. Wels; Félix Lades; Alexander Muehlberg; Michael Sühling (Computer-Aided Diagnosis, 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 (PRIME@MICCAI, 2019)

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 (ISBI, 2020)

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)

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)

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; et al. (CoRR, 2022)

Mitigating Unknown Bias in Deep Learning-based Assessment of CT Images DeepTechnome. - Simon Langer; Oliver Taubmann; Felix Denzinger; Andreas K. Maier; Alexander Mühlberg (Bildverarbeitung für die Medizin, 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 001 (ISBI, 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; et al. (CoRR, 2023)

Appearance-based Debiasing of Deep Learning Models in Medical Imaging. - Frauke Wilm; Marcel Reimann; Oliver Taubmann; Alexander Mühlberg; Katharina Breininger (Bildverarbeitung für die Medizin, 2024)

CAS3D: 3D quantitative morphometry on Second Harmonic Generation image volumes from single skeletal muscle fibers. - Dominik Schneidereit; Julian Bauer; Sofia Mnuskina; Stefanie Nübler; Nicola Cacciani; Alexander Mühlberg; Lucas Kreiss; Paul Ritter; Sebastian Schürmann; Lars Larsson 002; Oliver Friedrich (Comput. Biol. Medicine, 2024)