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2020 – today
- 2024
[c6]Zahira Mercado, Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Lucas Mose, Nicolaus Andratschke, Mauricio Reyes:
AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy. CaPTion@MICCAI 2024: 221-230- [c5]Amith Kamath, Zahira Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes:
Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy. MIDL 2024: 742-753 - [i2]Yixing Huang
, Zahra Khodabakhshi, Ahmed Gomaa, Manuel A. Schmidt, Rainer Fietkau, Matthias Guckenberger, Nicolaus Andratschke, Christoph Bert, Stephanie Tanadini-Lang, Florian Putz:
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. CoRR abs/2405.10870 (2024) - 2023
- [c4]Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Nicolaus Andratschke, Mauricio Reyes:
ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. EMBC 2023: 1-4 - [c3]Amith Kamath, Robert Poel, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? ISBI 2023: 1-4 - [c2]Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes:
Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. MICCAI (4) 2023: 302-311 - [i1]Vullnet Useini, Stephanie Tanadini-Lang, Quentin Lohmeyer, Mirko Meboldt, Nicolaus Andratschke, Ralph P. Braun, Javier Barranco Garcia:
Automatized Self-Supervised Learning for Skin Lesion Screening. CoRR abs/2311.06691 (2023) - 2022
- [c1]Javier Barranco Garcia, Stephanie Tanadini-Lang, Nicolaus Andratschke, Mathias Gassner, Ralph P. Braun:
Suspicious Skin Lesion Detection in Wide-Field Body Images using Deep Learning Outlier Detection. EMBC 2022: 2928-2932
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