Glock, A.E.[Albert E.]
* 2015: Genetic algorithm attack on minutiae-based fingerprint authentication and protected template fingerprint systems
Glock, C.
* 1995: Model-Based Road Extraction from Images
* 2020: Detection of Undocumented Building Constructions from Official Geodata Using a Convolutional Neural Network
Includes: Glock, C. Glock, C.[Clemens]
Glock, S.[Stefan]
* 2009: Feature Extraction Algorithm for Banknote Textures Based on Incomplete Shift Invariant Wavelet Packet Transform
Glocker, B.[Ben]
* 2007: 4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization
* 2007: Inter- and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming
* 2008: Adaptive parametrization of multivariate B-splines for image registration
* 2008: Computing minimal deformations: application to construction of statistical shape models
* 2008: Optical flow estimation with uncertainties through dynamic MRFs
* 2009: Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs
* 2009: Discrete tracking of parametrized curves
* 2010: TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods
* 2011: Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
* 2012: Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity
* 2012: Joint Classification-Regression Forests for Spatially Structured Multi-Object Segmentation
* 2013: Interventional Tool Tracking Using Discrete Optimization
* 2013: Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
* 2013: WESD: Weighted Spectral Distance for Measuring Shape Dissimilarity
* 2014: Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios
* 2014: Multi-output Learning for Camera Relocalization
* 2015: Learning and Combining Image Similarities for Neonatal Brain Population Studies
* 2015: Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces
* 2015: Multimodal Brain Tumor Image Segmentation Benchmark (BRATS), The
* 2015: Supervoxel Classification Forests for Estimating Pairwise Image Correspondences
* 2016: Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases
* 2016: Discrete Optimisation for Group-Wise Cortical Surface Atlasing
* 2016: Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation, A
* 2017: Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images
* 2017: Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth
* 2017: Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images
* 2017: Supervoxel Classification Forests for Estimating Pairwise Image Correspondences
* 2018: 3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images
* 2018: Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
* 2018: Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI
* 2019: Learning-Based Quality Control for Cardiac MR Images
* 2019: Special Issue on Machine Vision
* 2019: TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors
* 2020: Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders
* 2020: Unpaired Multi-Modal Segmentation via Knowledge Distillation
* 2021: Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation
* 2021: AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design
* 2021: Universal Adversarial Robustness of Texture and Shape-Biased Models
* 2022: Deep Structural Causal Shape Models
* 2022: Frequency Dropout: Feature-level Regularization via Randomized Filtering
* 2022: variational Bayesian method for similarity learning in non-rigid image registration, A
* 2023: Context Label Learning: Improving Background Class Representations in Semantic Segmentation
* 2023: Distance Matters For Improving Performance Estimation Under Covariate Shift
* 2023: Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation
* 2023: Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification
* 2023: Topology Preserving Compositionality for Robust Medical Image Segmentation
Includes: Glocker, B.[Ben] Glocker, B.
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