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Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans.

A. Hering, S. Kuckertz, S. Heldmann, and M. Heinrich. Int. J. Comput. Assist. Radiol. Surg., 14 (11): 1901-1912 (2019)

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Mattias Krüger

Mattias Kreutz

Mattias Martinson

Heinrich P Koch

Heinrich P Dröge

Other publications of authors with the same name

GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs.L. Hansen, and M. Heinrich. IEEE Trans. Medical Imaging, 40 (9): 2246-2257 (2021)Attention gated networks: Learning to leverage salient regions in medical images.J. Schlemper, O. Oktay, M. Schaap, M. Heinrich, B. Kainz, B. Glocker, and D. Rueckert. Medical Image Anal., (2019)Anatomy-guided domain adaptation for 3D in-bed human pose estimation.A. Bigalke, L. Hansen, J. Diesel, C. Hennigs, P. Rostalski, and M. Heinrich. Medical Image Anal., (October 2023)Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation.E. Kats, J. Hirsch, and M. Heinrich. CoRR, (2024)Multimodal 3D medical image registration guided by shape encoder-decoder networks.M. Blendowski, N. Bouteldja, and M. Heinrich. Int. J. Comput. Assist. Radiol. Surg., 15 (2): 269-276 (2020)Automatic Generation of Synthetic Colonoscopy Videos for Domain Randomization.A. Jagtap, M. Heinrich, and M. Himstedt. CoRR, (2022)Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT.Z. Xu, C. Lee, M. Heinrich, M. Modat, D. Rueckert, S. Ourselin, R. Abramson, and B. Landman. IEEE Trans. Biomed. Eng., 63 (8): 1563-1572 (2016)Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction.L. Hansen, J. Lichtenstein, and M. Heinrich. Bildverarbeitung für die Medizin, page 39-45. Springer, (2024)Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds.M. Heinrich, A. Bigalke, C. Großbröhmer, and L. Hansen. Bildverarbeitung für die Medizin, page 101. Springer, (2024)Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks.T. Kepp, J. Ehrhardt, M. Heinrich, G. Hüttmann, and H. Handels. ISBI, page 1437-1440. IEEE, (2019)

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Disambiguation of "Heinrich, Mattias P."