Max Blendowski - researchr alias

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Viewing Publication 1 - 6 from 6

2021

Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registrationMax Blendowski, Lasse Hansen, Mattias P. Heinrich. mia, 67:101822, 2021. [doi]

2020

Multimodal 3D medical image registration guided by shape encoder-decoder networksMax Blendowski, Nassim Bouteldja, Mattias P. Heinrich. cars, 15(2):269-276, 2020. [doi]

2019

Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patientsMax Blendowski, Mattias P. Heinrich. cars, 14(1):43-52, 2019. [doi]

Learning interpretable multi-modal features for alignment with supervised iterative descentMax Blendowski, Mattias P. Heinrich. midl 2019: 73-83 [doi]

2018

3D-CNNs for Deep Binary Descriptor Learning in Medical Volume DataMax Blendowski, Mattias P. Heinrich. bildmed 2018: 23-28 [doi]

TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutionsMattias P. Heinrich, Max Blendowski, Ozan Oktay. cars, 13(9):1311-1320, 2018. [doi]

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