Dominik Nörenberg

According to our database, Dominik Nörenberg authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Generalizable Kidney Segmentation for Total Volume Estimation.

Anish Raj, Laura Hansen, Fabian Tollens, Dominik Nörenberg, Giulia Villa, Anna Caroli, Frank G. Zöllner

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Periaortic adipose radiomics texture features associated with increased coronary calcium score - first results on a photon-counting-CT.

Peter Mundt, Hishan Tharmaseelan, Alexander Hertel, Lukas T. Rotkopf, Dominik Nörenberg, Philipp Riffel, Stefan O. Schönberg, Matthias F. Froelich, Isabelle Ayx

BMC Medical Imaging, December, 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

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

2021

Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans.

Alena-Kathrin Golla, Dominik F. Bauer, Ralf Schmidt, Tom Russ, Dominik Nörenberg, Khanlian Chung, Christian Tönnes, Lothar R. Schad, Frank G. Zöllner

IEEE Trans. Biomed. Eng., 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

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

Structured reporting in petrous bone MRI examinations: impact on report completeness and quality.

Marco Armbruster, Sebastian Gassenmaier, Mareike Haack, Maximilian Reiter, Dominik Nörenberg, Thomas Henzler, Nora N. Sommer, Wieland H. Sommer, Franziska Braun

Int. J. Comput. Assist. Radiol. Surg., 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