Patrik Raudaschl
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik(AT)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Medical Imaging and Analysis, Vestibular and auditory disorders, Dental Radiography and Imaging, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Evaluation of segmentation methods on head and neck CT: Auto‐segmentation challenge 2015(2017)259 cited
- → Deep Neural Networks for Fast Segmentation of 3D Medical Images(2016)104 cited
- → Technical Note: plastimatch mabs, an open source tool for automatic image segmentation(2016)54 cited
- → Analysis of Vestibular Labyrinthine Geometry and Variation in the Human Temporal Bone(2018)28 cited
- → Multi atlas based segmentation: should we prefer the best atlas group over the group of best atlases?(2018)20 cited
- → Fast and Robust linear motion deblurring(2013)13 cited
- → Model-based Vestibular Afferent Stimulation: Modular Workflow for Analyzing Stimulation Scenarios in Patient Specific and Statistical Vestibular Anatomy(2017)11 cited
- → Analysis of the micro-migration of sliding hip screws by using point-based registration(2010)5 cited
- → Statistical Shape and Appearance Models for Bone Quality Assessment(2017)5 cited
- → A novel atlas-selection approach for multi-atlas based segmentation using the correlation of inter-atlas similarities(2014)