Nicolaus Andratschke

11 papers Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ProSona: Prompt-Guided Personalization for Multi-Expert Medical Image Segmentation. CoRR Aya Elgebaly, Nikolaos Delopoulos, Juliane Hörner-Rieber, Carolin Rippke, Sebastian Klüter, Luca Boldrini, Lorenzo Placidi, Riccardo Dal Bello, Nicolaus Andratschke, Michael Baumgartl, Claus Belka, Christopher Kurz, Guillaume Landry, Shadi Albarqouni
2025	J	`jnl`	The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. CoRR Daniel Abler, O. Pusterla, A. Joye-Kühnis, Nicolaus Andratschke, Meritxell Bach, A. Bink, S. M. Christ, Patric Hagmann, B. Pouymayou, E. Pravatà, Piotr Radojewski, Mauricio Reyes, L. Ruinelli, Roger Schaer, Bram Stieltjes, G. Treglia, Waldo Valenzuela, Roland Wiest, S. Zoergiebel, Matthias Guckenberger, Stephanie Tanadini-Lang, Adrien Depeursinge
2025	J	`jnl`	The impact of U-Net architecture choices and skip connections on the robustness of segmentation across texture variations. Comput. Biol. Medicine Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes
2024	—	`conf`	AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy. CaPTion@MICCAI Zahira Mercado, Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Lucas Mose, Nicolaus Andratschke, Mauricio Reyes
2024	—	`conf`	Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy. MIDL Amith Kamath, Zahira Maur, Robert Poel, Jonas Willmann, Ekin Ermis, Elena Riggenbach, Nicolaus Andratschke, Mauricio Reyes
2024	J	`jnl`	Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation. CoRR Yixing Huang, Zahra Khodabakhshi, Ahmed Gomaa, Manuel A. Schmidt, Rainer Fietkau, Matthias Guckenberger, Nicolaus Andratschke, Christoph Bert, Stephanie Tanadini-Lang, Florian Putz
2023	—	`conf`	ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. EMBC Amith Kamath, Robert Poel, Jonas Willmann, Ekin Ermis, Nicolaus Andratschke, Mauricio Reyes
2023	J	`jnl`	Automatized Self-Supervised Learning for Skin Lesion Screening. CoRR Vullnet Useini, Stephanie Tanadini-Lang, Quentin Lohmeyer, Mirko Meboldt, Nicolaus Andratschke, Ralph P. Braun, Javier Barranco Garcia
2023	—	`conf`	Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. MICCAI (4) Amith Kamath, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes
2023	—	`conf`	How Sensitive Are Deep Learning Based Radiotherapy Dose Prediction Models To Variability In Organs At Risk Segmentation? ISBI Amith Kamath, Robert Poel, Jonas Willmann, Nicolaus Andratschke, Mauricio Reyes
2022	—	`conf`	Suspicious Skin Lesion Detection in Wide-Field Body Images using Deep Learning Outlier Detection. EMBC Javier Barranco Garcia, Stephanie Tanadini-Lang, Nicolaus Andratschke, Mathias Gassner, Ralph P. Braun