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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
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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Hansen L., Blendowski M., Heinrich M.P.
Defence of Mathematical Models for Deep Learning based Registration
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 32, 2020
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Großbröhmer C., Blendowski M., Heinrich M.P.
Efficient Self-Supervised Context Learning on MRI data
In: Buzug T.M., Handels H., Klein S., Mertins A. (eds.), Student Conference 2020, Medical Engineering Science, Medical Informatics, Biomedical Engineering and Auditory Technology, Lübeck, Infinite Science Publishing, 189-192, 2020
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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
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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.
Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data
In: Tolxdorff T., Deserno T.M., Handels H., Maier A., Maier-Hein K.H., Palm C. (eds.), Bildverarbeitung für die Medizin 2020, Berlin, Informatik aktuell, Springer Vieweg, Wiesbaden, 192, 2020
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

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