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B
Blendowski M., Wilms M., Werner R., Handels H.
Simulation of Range-Imaging-Based Prediction of Respiratory Organ and Tumor Motion Using 4D CT Data: Influence of Signal Dimensionality and Sampling Patterns
In: Handels H., Ingenerf J. (eds.), 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS), Lübeck, Abstractband GMDS 2013, ID118:216-217, 2013
Blendowski M., Heinrich M.P.
Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung
In: Maier-Hein K.H., Deserno T.M., Handels H., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2017, Heidelberg, Informatik aktuell, Springer Vieweg, Berlin Heidelberg, 24-24, 2017
Blendowski M., Heinrich M.P.
3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
In: Maier A., Deserno T.M., Handels H., Maier-Hein K.H., Palm C., Tolxdorff T. (eds.), Bildverarbeitung für die Medizin 2018, Erlangen, Informatik aktuell, Springer Vieweg, Berlin, Heidelberg, 23-28, 2018
F
Fleitmann M., Seebaß M., Westerhoff M., Stalling D., Heinrich M.P., Blendowski M.
Classification of axial CT Images using Deep Learning for determining a Standard Coordinate System
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 247-250, 2018
H
Heinrich M.P., Blendowski M.
Multi-Organ Segmentation using Vantage Point Forests and Binary Context Features
In: 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2016, Athen, Springer, 598-606, 2016
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W
Weller D., Hansen L., Blendowski M., Heinrich M.P.
Transferring a Deep Cityscape Synthesis Approach to the Medical Domain
In: Buzug T.M., Handels H., Klein S. (eds.), Student Conference 2018, Medical Engineering Science, Medical Informatics and Biomediacal Engineering, Lübeck, Infinite Science Publishing, 91-94, 2018

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