Maximilian Blendowski

According to our database, Maximilian Blendowski authored at least 15 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration.

Max Blendowski, Lasse Hansen, Mattias P. Heinrich

Medical Image Anal., 2021

2020

Learning to map between ferns with differentiable binary embedding networks.

Max Blendowski, Mattias P. Heinrich

CoRR, 2020

Multimodal 3D medical image registration guided by shape encoder-decoder networks.

Max Blendowski, Nassim Bouteldja, Mattias P. Heinrich

Int. J. Comput. Assist. Radiol. Surg., 2020

Abstract: Defence of Mathematical Models for Deep Learning based Registration.

Lasse Hansen, Maximilian Blendowski, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Abstract: Self-Supervised 3D Context Feature Learning on Unlabeled Volume Data.

Maximilian Blendowski, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients.

Max Blendowski, Mattias P. Heinrich

Int. J. Comput. Assist. Radiol. Surg., 2019

Learning interpretable multi-modal features for alignment with supervised iterative descent.

Max Blendowski, Mattias P. Heinrich

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

How to Learn from Unlabeled Volume Data: Self-supervised 3D Context Feature Learning.

Maximilian Blendowski, Hannes Nickisch, Mattias P. Heinrich

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions.

Mattias P. Heinrich, Max Blendowski, Ozan Oktay

Int. J. Comput. Assist. Radiol. Surg., 2018

3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data.

Max Blendowski, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Abstract: Kombination binärer Kontextfeatures mit Vantage Point Forests zur Multi-Organ-Segmentierung.

Maximilian Blendowski, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Multi-organ Segmentation Using Vantage Point Forests and Binary Context Features.

Mattias P. Heinrich, Maximilian Blendowski

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2013

Surrogate-based diffeomorphic motion estimation for radiation therapy: comparison of multivariate regression approaches.

Matthias Wilms, René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Maximilian Blendowski, Heinz Handels

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Simulation und Evaluation tiefenbildgebender Verfahren zur Prädiktion atmungsbedingter Organ- und Tumorbewegungen.

Maximilian Blendowski, Matthias Wilms, René Werner, Heinz Handels

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2012

A Diffeomorphic Framework for Surrogate-based Motion Estimation in Radiation Therapy: Concept and First Evaluation.

René Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Matthias Wilms, Maximilian Blendowski, Heinz Handels

Proceedings of the 57. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie, 42. Jahrestagung der Gesellschaft für Informatik, Was bewegt uns in der/die Zukunft?, 2012