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Disambiguation of "Heinrich, Mattias P."

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Point cloud-based scene flow estimation on realistically deformable objects: A benchmark of deep learning-based methods.

, , and . J. Vis. Commun. Image Represent., (September 2023)

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Mattias Krüger

Mattias Kreutz

Mattias Martinson

Heinrich P Dröge

Heinrich P Koch

 

Other publications of authors with the same name

Multimodal 3D medical image registration guided by shape encoder-decoder networks., , and . Int. J. Comput. Assist. Radiol. Surg., 15 (2): 269-276 (2020)Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT., , , , , , , and . IEEE Trans. Biomed. Eng., 63 (8): 1563-1572 (2016)Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration., , , and . ICCV, page 7992-8002. IEEE, (2023)GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs., and . IEEE Trans. Medical Imaging, 40 (9): 2246-2257 (2021)Weakly supervised airway orifice segmentation in video bronchoscopy., , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Construction of a multi-phase contrast computed tomography kidney atlas., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds., , , and . Bildverarbeitung für die Medizin, page 101. Springer, (2024)Displacement Representation for Conditional Point Cloud Registration - HeatReg Applied to 2D/3D Freehand Ultrasound Reconstruction., , and . Bildverarbeitung für die Medizin, page 39-45. Springer, (2024)DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation., , , , and . WBIR, volume 13386 of Lecture Notes in Computer Science, page 37-46. Springer, (2022)Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks., , , , and . ISBI, page 1437-1440. IEEE, (2019)