Nicolaus Andratschke

According to our database, Nicolaus Andratschke authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation.

Yixing Huang, Zahra Khodabakhshi, Ahmed Gomaa, Manuel A. Schmidt, Rainer Fietkau, Matthias Guckenberger, Nicolaus Andratschke, Christoph Bert, Stephanie Tanadini-Lang, Florian Putz

CoRR, 2024

AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy.

Zahira Mercado, Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Lucas Mose, Nicolaus Andratschke, Mauricio Reyes

Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

2023

Automatized Self-Supervised Learning for Skin Lesion Screening.

Vullnet Useini, Stephanie Tanadini-Lang, Quentin Lohmeyer, Mirko Meboldt, Nicolaus Andratschke, Ralph P. Braun, Javier Barranco Garcia

CoRR, 2023

Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity.

Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation?

Amith Kamath, Robert Poel, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance.

Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Nicolaus Andratschke, Mauricio Reyes

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Suspicious Skin Lesion Detection in Wide-Field Body Images using Deep Learning Outlier Detection.

Javier Barranco Garcia, Stephanie Tanadini-Lang, Nicolaus Andratschke, Mathias Gassner, Ralph P. Braun

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022