Toward Distributed Conduction of Large-Scale Studies in Radiation Therapy and Oncology: Open-Source System Integration Approach. - Tomas Skripcak; Uwe Just; Monique Simon; Daniel Buttner; Armin Lühr; Michael Baumann 006; Mechthild Krause (IEEE J. Biomed. Health Informatics, 2016)

Knowledge Management System in Preclinical Radiooncology / Radiobiology Research. - Wahyu W. Hadiwikarta; Nadja Ebert; Mareike Roscher; Ina Kurth; Michael Baumann 006 (ISWC (Demos/Industry), 2020)

2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma. - Sebastian Starke; Stefan Leger; Alex Zwanenburg; Karoline Leger; Fabian Lohaus; Annett Linge; Andreas Schreiber; Goda Kalinauskaite; Inge Tinhofer; Nika Guberina; Maja Guberina; Panagiotis Balermpas; et al. (RODARE, 2020)

Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer? - Iram Shahzadi; Annika Lattermann; Annett Linge; Alex Zwanenburg; Christian Baldus; Jan C. Peeken; Stephanie E. Combs; Michael Baumann 006; Mechthild Krause; Esther G. C. Troost; Steffen Löck (MICCAI (7), 2021)

Data publication: Multitask learning with convolutional neural networks and vision transformers can improve outcome prediction for head and neck cancer patients. - Sebastian Starke; Alex Zwanenburg; Karoline Leger; Fabian Lohaus; Annett Linge; Andreas Schreiber; Goda Kalinauskaite; Inge Tinhofer; Nika Guberina; Maja Guberina; Panagiotis Balermpas; Jens von der Grün; et al. (RODARE, 2023)

Semantic Representation of Preclinical Data in Radiation Oncology. - Olga Giraldo; Abumansur Sabyrrakhim; Mareike Roscher; Rosemarie Euler-Lange; Michael Baumann 006; Ina Kurth; Wahyu Wijaya Hadiwikarta (ICBO, 2024)