M
Mark Bangert
Researcher at German Cancer Research Center
Publications - 46
Citations - 1238
Mark Bangert is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Probability distribution & Standard deviation. The author has an hindex of 16, co-authored 46 publications receiving 921 citations. Previous affiliations of Mark Bangert include Institute of Cancer Research.
Papers
More filters
Journal ArticleDOI
Development of the open-source dose calculation and optimization toolkit matRad.
Hans-Peter Wieser,Eduardo Cisternas,Niklas Wahl,Silke Ulrich,Alexander Stadler,Henning Mescher,Lucas-Raphael Müller,Thomas Klinge,Hubert Gabrys,Lucas Burigo,Andrea Mairani,Swantje Ecker,Benjamin Ackermann,Malte Ellerbrock,Katia Parodi,Oliver Jäkel,Mark Bangert +16 more
TL;DR: The dosimetric accuracy, computational performance and open‐source character of matRad encourages a future application of the toolkit for both educational and research purposes.
Journal ArticleDOI
Robust radiotherapy planning.
Jan Unkelbach,Markus Alber,Mark Bangert,Rasmus Bokrantz,Timothy C. Y. Chan,Joseph O. Deasy,Albin Fredriksson,Bram L. Gorissen,Marcel van Herk,Wei Liu,Houra Mahmoudzadeh,Omid Nohadani,Jeffrey V. Siebers,Marnix G. Witte,H Xu +14 more
TL;DR: Robust and probabilistic optimization methods have been developed that directly incorporate motion and uncertainty into treatment plan optimization for intensity modulated radiotherapy (IMRT) andintensity modulated proton therapy (IMPT) and these methods are made available for clinical use.
Journal ArticleDOI
Design and Selection of Machine Learning Methods Using Radiomics and Dosiomics for Normal Tissue Complication Probability Modeling of Xerostomia.
Hubert Szymon Gabryś,Florian Buettner,Florian Sterzing,Henrik Hauswald,Henrik Hauswald,Mark Bangert +5 more
TL;DR: It is demonstrated that incorporation of organ- and dose-shape descriptors is beneficial for xerostomia prediction in highly conformal radiotherapy treatments and underscores the need for development of personalized data-driven risk profiles for NTCP models of xerstomia.
Journal ArticleDOI
Shared data for intensity modulated radiation therapy (IMRT) optimization research: the CORT dataset
TL;DR: An open dataset is presented – the first of its kind – to the radiation oncology community, which will allow researchers to compare methods for optimizing radiation dose delivery.
Journal ArticleDOI
Optimization approaches to volumetric modulated arc therapy planning
Jan Unkelbach,Thomas Bortfeld,David Craft,Markus Alber,Mark Bangert,Rasmus Bokrantz,Danny Z. Chen,Ruijiang Li,Lei Xing,Chunhua Men,Simeon Nill,Dávid Papp,Edwin Romeijn,Ehsan Salari +13 more
TL;DR: Different approaches to VMAT optimization, including arc sequencing methods, extensions of direct aperture optimization, and direct optimization of leaf trajectories are reviewed, and their advantages and limitations are outlined and recommendations for improvements are discussed.