Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. - Daniel Abler; Vincent Andrearczyk; Valentin Oreiller; Javier Barranco Garcia; Diem Vuong; Stephanie Tanadini-Lang; Matthias Guckenberger; Mauricio Reyes 001; Adrien Depeursinge (BrainLes@MICCAI (2), 2021)

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)

Diagnostic Accuracy and Reliability of Deep Learning-Based Human Papillomavirus Status Prediction in Oropharyngeal Cancer. - Agustina La Greca Saint-Esteven; Chiara Marchiori; Marta Bogowicz; Javier Barranco Garcia; Zahra Khodabakhshi; Ender Konukoglu; Oliver Riesterer; Panagiotis Balermpas; Martin Hüllner; A. Cristiano I. Malossi; Matthias Guckenberger; Janita E. van Timmeren; et al. (MICAD, 2022)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Moamen Abobakr; Azadeh Akhavanallaf; Panagiotis Balermpas; Sarah Boughdad; Leo Capriotti; Joël Castelli; Catherine Cheze Le Rest; Pierre Decazes; Ricardo Correia 006; Dina El-Habashy; et al. (HECKTOR@MICCAI, 2022)

A Fine-Tuned 3D U-Net for Primary Tumor and Affected Lymph Nodes Segmentation in Fused Multimodal Images of Oropharyngeal Cancer. - Agustina La Greca Saint-Esteven; Laura Motisi; Panagiotis Balermpas; Stephanie Tanadini-Lang (HECKTOR@MICCAI, 2022)

A 2.5D convolutional neural network for HPV prediction in advanced oropharyngeal cancer. - Agustina La Greca Saint-Esteven; Marta Bogowicz; Ender Konukoglu; Oliver Riesterer; Panagiotis Balermpas; Matthias Guckenberger; Stephanie Tanadini-Lang; Janita E. van Timmeren (Comput. Biol. Medicine, 2022)

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)

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 Multicentre Acute ischemic stroke imaGIng and Clinical data (MAGIC) repository: rationale and blueprint. - Hakim Baazaoui; Stefan T. Engelter; Henrik Gensicke; Lukas S. Enz; Marios Psychogios; Matthias Mutke; Patrik Michel; Davide Strambo; Alexander Salerno; Henk A. Marquering; Paul H. J. Nederkoorn; Nabila Wali; et al. (Frontiers Neuroinformatics, 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)

CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography. - Murong Xu; Tamaz Amiranashvili; Fernando Navarro; Maksym Fritsak; Ibrahim Ethem Hamamci; Suprosanna Shit; Bastian Wittmann; Sezgin Er; Sebastian M. Christ; Ezequiel de la Rosa; Julian Deseoe; Robert Graf; et al. (CoRR, 2025)