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 (EMBC, 2022)

ASTRA: Atomic Surface Transformations for Radiotherapy Quality Assurance. - Amith Kamath; Robert Poel; Jonas Willmann; Ekin Ermis; Nicolaus Andratschke; Mauricio Reyes 001 (EMBC, 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 001 (ISBI, 2023)

Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity. - Amith Kamath; Jonas Willmann; Nicolaus Andratschke; Mauricio Reyes 001 (MICCAI (4), 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)

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 001 (CaPTion@MICCAI, 2024)

Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor to Estimate Dosimetric Impact of Segmentation Variations for Radiotherapy. - Amith Kamath; Zahira Maur; Robert Poel; Jonas Willmann; Ekin Ermis; Elena Riggenbach; Nicolaus Andratschke; Mauricio Reyes 001 (MIDL, 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)

The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information. - 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 001; et al. (CoRR, 2025)