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Dominik Nörenberg
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2020 – today
- 2024
- [c6]Anish Raj, Laura Hansen, Fabian Tollens, Dominik Nörenberg, Giulia Villa, Anna Caroli, Frank G. Zöllner:
Generalizable Kidney Segmentation for Total Volume Estimation. Bildverarbeitung für die Medizin 2024: 285-290 - 2023
- [j3]Peter Mundt, Hishan Tharmaseelan, Alexander Hertel, Lukas T. Rotkopf, Dominik Nörenberg, Philipp Riffel, Stefan O. Schönberg, Matthias F. Froelich, Isabelle Ayx:
Periaortic adipose radiomics texture features associated with increased coronary calcium score - first results on a photon-counting-CT. BMC Medical Imaging 23(1): 97 (2023) - [c5]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 - 2022
- [i1]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) - 2021
- [j2]Alena-Kathrin Golla, Dominik F. Bauer, Ralf Schmidt, Tom Russ, Dominik Nörenberg, Khanlian Chung, Christian Tönnes, Lothar R. Schad, Frank G. Zöllner:
Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans. IEEE Trans. Biomed. Eng. 68(5): 1518-1526 (2021) - 2020
- [c4]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
2010 – 2019
- 2019
- [c3]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 - [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
- [j1]Marco Armbruster, Sebastian Gassenmaier, Mareike Haack, Maximilian Reiter, Dominik Nörenberg, Thomas Henzler, Nora N. Sommer, Wieland H. Sommer, Franziska Braun:
Structured reporting in petrous bone MRI examinations: impact on report completeness and quality. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1971-1980 (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
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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