Ben Glocker

According to our database1, Ben Glocker authored at least 148 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Learning-Based Quality Control for Cardiac MR Images.
IEEE Trans. Med. Imaging, 2019

Attention gated networks: Learning to leverage salient regions in medical images.
Medical Image Analysis, 2019

Evaluating reinforcement learning agents for anatomical landmark detection.
Medical Image Analysis, 2019

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.
CoRR, 2019

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Med. Imaging, 2018

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Med. Imaging, 2018

Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage, 2018

Reconstructing subject-specific effect maps.
NeuroImage, 2018

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Analysis, 2018

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.
CoRR, 2018

Towards continual learning in medical imaging.
CoRR, 2018

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.
CoRR, 2018

Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images.
CoRR, 2018

Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes.
CoRR, 2018

High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks.
CoRR, 2018

Real-time Prediction of Segmentation Quality.
CoRR, 2018

Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging.
CoRR, 2018

NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines.
CoRR, 2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
CoRR, 2018

Semi-Supervised Learning via Compact Latent Space Clustering.
CoRR, 2018

Nonparametric Density Flows for MRI Intensity Normalisation.
CoRR, 2018

Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity.
CoRR, 2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.
CoRR, 2018

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
CoRR, 2018

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection.
CoRR, 2018

Attention U-Net: Learning Where to Look for the Pancreas.
CoRR, 2018

Learning-Based Quality Control for Cardiac MR Images.
CoRR, 2018

Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018


Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Nonparametric Density Flows for MRI Intensity Normalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Semi-Supervised Learning via Compact Latent Space Clustering.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Unified Tracking and Shape Estimation for Concentric Tube Robots.
IEEE Trans. Robotics, 2017

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
IEEE Trans. Med. Imaging, 2017

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Med. Imaging, 2017

Supervoxel classification forests for estimating pairwise image correspondences.
Pattern Recognition, 2017

A flexible graphical model for multi-modal parcellation of the cortex.
NeuroImage, 2017

Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical Image Analysis, 2017

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Medical Image Analysis, 2017

Robust guidewire tracking under large deformations combining segment-like features (SEGlets).
Medical Image Analysis, 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Analysis, 2017

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Analysis, 2017

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
CoRR, 2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
CoRR, 2017

Implicit Weight Uncertainty in Neural Networks.
CoRR, 2017

Human-level CMR image analysis with deep fully convolutional networks.
CoRR, 2017

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR, 2017

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
CoRR, 2017

Efficient variational Bayesian neural network ensembles for outlier detection.
CoRR, 2017

Spectral Graph Convolutions for Population-based Disease Prediction.
CoRR, 2017

Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017

Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks.
CoRR, 2017

SubCMap: Subject and Condition Specific Effect Maps.
CoRR, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
CoRR, 2017

Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Spectral Graph Convolutions for Population-Based Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.
Proceedings of the Information Processing in Medical Imaging, 2017

Efficient variational Bayesian neural network ensembles for outlier detection.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images.
Proceedings of the Functional Imaging and Modelling of the Heart, 2017

2016
Learning clinically useful information from images: Past, present and future.
Medical Image Analysis, 2016

(Hyper)-graphical models in biomedical image analysis.
Medical Image Analysis, 2016

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis.
Medical Image Analysis, 2016

ElasticFusion: Real-time dense SLAM and light source estimation.
I. J. Robotics Res., 2016

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation.
CoRR, 2016

Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.
CoRR, 2016

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Accuracy Estimation for Medical Image Registration Using Regression Forests.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

DeepMedic for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016

Correction of Fat-Water Swaps in Dixon MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Discrete Optimisation for Group-Wise Cortical Surface Atlasing.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding.
IEEE Trans. Vis. Comput. Graph., 2015

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Med. Imaging, 2015

Motion Segmentation of Truncated Signed Distance Function Based Volumetric Surfaces.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

ElasticFusion: Dense SLAM Without A Pose Graph.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Learning and Combining Image Similarities for Neonatal Brain Population Studies.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Uncertainty-Driven Forest Predictors for Vertebra Localization and Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Supervoxel Classification Forests for Estimating Pairwise Image Correspondences.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Learning to detect and track cells for quantitative analysis of time-lapse microscopic image sequences.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015

2014
Encoding atlases by randomized classification forests for efficient multi-atlas label propagation.
Medical Image Analysis, 2014

Classifier-Based Multi-atlas Label Propagation with Test-Specific Atlas Weighting for Correspondence-Free Scenarios.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Geodesic Patch-Based Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Robust Registration of Longitudinal Spine CT.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Dense planar SLAM.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2014

Dense planar SLAM.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2014

Multi-output Learning for Camera Relocalization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Interventional Tool Tracking Using Discrete Optimization.
IEEE Trans. Med. Imaging, 2013

WESD-Weighted Spectral Distance for Measuring Shape Dissimilarity.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Neighbourhood approximation using randomized forests.
Medical Image Analysis, 2013

Atlas Encoding by Randomized Forests for Efficient Label Propagation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Modality Propagation: Coherent Synthesis of Subject-Specific Scans with Data-Driven Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Real-time RGB-D camera relocalization.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2013

Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Discriminative Segmentation-Based Evaluation Through Shape Dissimilarity.
IEEE Trans. Med. Imaging, 2012

Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes.
Medical Image Analysis, 2012

WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity
CoRR, 2012

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Neighbourhood Approximation Forests.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Random fields for image registration.
PhD thesis, 2011

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge.
IEEE Trans. Med. Imaging, 2011

Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010
Linear intensity-based image registration by Markov random fields and discrete optimization.
Medical Image Analysis, 2010

Markov random field optimization for intensity-based 2D-3D registration.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Simultaneous Geometric - Iconic Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Needle tracking through higher-order MRF optimization.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods.
Proceedings of the Computer Vision, 2010

2009
Sphere extraction in MR images with application to whole-body MRI.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Probabilistic Region Matching in Narrow-Band Endoscopy for Targeted Optical Biopsy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Linear Image Registration Through MRF Optimization.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Dense Registration with Deformation Priors.
Proceedings of the Information Processing in Medical Imaging, 2009

Discrete tracking of parametrized curves.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

MRI Composing for Whole Body Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009

2008
Dense image registration through MRFs and efficient linear programming.
Medical Image Analysis, 2008

Real-time respiratory motion tracking: roadmap correction for hepatic artery catheterizations.
Proceedings of the Medical Imaging 2008: Visualization, 2008

Deformable Mosaicing for Whole-Body MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Computing minimal deformations: application to construction of statistical shape models.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Adaptive parametrization of multivariate B-splines for image registration.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Optical flow estimation with uncertainties through dynamic MRFs.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Effiziente nichtlineare Registrierung mittels diskreter Optimierung.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

2007
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Towards a computer-aided diagnosis system for colon motility dysfunctions.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming.
Proceedings of the Information Processing in Medical Imaging, 2007


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