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Fusing information from multiple 2D depth cameras for 3D human pose estimation in the operating room
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Learning Deformable Point Set Registration with Regularized Dynamic Graph CNNs for Large Lung Motion in COPD Patients
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Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
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Defence of Mathematical Models for Deep Learning based Registration
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Sparse Structured Prediction for Semantic Edge Detection in Medical Images
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Probabilistic Dense Displacement Networks for Medical Image Registration - Contributions to the Learn2Reg challenge
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Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds
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4D-Planung von Leberpunktionen unter Berücksichtigung der Atembewegung
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4D-Planung von Nadelpfaden für Punktionseingriffe mit der Ray-Casting-Methode
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Realistic Haptic Interaction for Computer Simulation of Dental Surgery
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Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
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BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions
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Multispectral Image Registration Based on Local Canonical Correlation Analysis
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MRI Whole Heart Segmentation using Discrete Nonlinear Registration and Fast Non-Local Fusion
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Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion
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Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
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Closing the Gap Between Deep and Conventional Image Registration Using Probabilistic Dense Displacement Networks
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TernaryNet: Faster Deep Model Inference without GPUs for Medical 3D Segmentation using Sparse and Binary Convolutions
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Multi-Organ Segmentation using Vantage Point Forests and Binary Context Features
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Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes.
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Estimating Large Lung Motion in COPD Patients by Symmetric Regularised Correspondence Fields
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