Ben Glocker
Identifiers
- name variant Ben Glocker 0.60 · backfill
Papers (44)
- Counterfactual Stress Testing for Image Classification Models cs.CV · 2026 · author #5
- Cardiovascular disease classification using radiomics and geometric features from cardiac CT eess.IV · 2025 · author #6
- Factored Classifier-Free Guidance cs.CV · 2025 · author #6
- Is Texture Predictive for Age and Sex in Brain MRI? eess.IV · 2019 · author #2
- Image-and-Spatial Transformer Networks for Structure-Guided Image Registration cs.CV · 2019 · author #5
- Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels eess.IV · 2019 · author #3
- Medical Imaging with Deep Learning: MIDL 2019 -- Extended Abstract Track eess.IV · 2019 · author #3
- Quantitative Error Prediction of Medical Image Registration using Regression Forests eess.IV · 2019 · author #3
- Graph Convolutional Gaussian Processes cs.LG · 2019 · author #2
- Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing cs.CG · 2019 · author #8
- FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms cs.CV · 2019 · author #7
- PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation cs.CV · 2018 · author #5
- Towards continual learning in medical imaging cs.CV · 2018 · author #2
- Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge cs.CV · 2018 · author #121
- Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images cs.CV · 2018 · author #6
- Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes cs.CV · 2018 · author #7
- Real-time Prediction of Segmentation Quality cs.CV · 2018 · author #20
- Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging cs.CV · 2018 · author #4
- NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines cs.CV · 2018 · author #5
- Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents cs.CV · 2018 · author #12
- Semi-Supervised Learning via Compact Latent Space Clustering cs.LG · 2018 · author #7
- Nonparametric Density Flows for MRI Intensity Normalisation cs.CV · 2018 · author #2
- Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity cs.CV · 2018 · author #3
- Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease stat.ML · 2018 · author #6
- Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy cs.CV · 2018 · author #8
- Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry cs.CV · 2018 · author #9
- Attention-Gated Networks for Improving Ultrasound Scan Plane Detection cs.CV · 2018 · author #7
- Attention U-Net: Learning Where to Look for the Pancreas cs.CV · 2018 · author #11
- Learning-Based Quality Control for Cardiac MR Images cs.CV · 2018 · author #10
- DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images cs.CV · 2017 · author #6
- Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation cs.CV · 2017 · author #11
- Implicit Weight Uncertainty in Neural Networks stat.ML · 2017 · author #5
- Automated cardiovascular magnetic resonance image analysis with fully convolutional networks cs.CV · 2017 · author #22
- 3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images cs.CV · 2017 · author #9
- Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation cs.CV · 2017 · author #12
- Efficient variational Bayesian neural network ensembles for outlier detection stat.ML · 2017 · author #3
- Spectral Graph Convolutions for Population-based Disease Prediction stat.ML · 2017 · author #6
- Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks cs.CV · 2017 · author #6
- Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion cs.CV · 2017 · author #8
- Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth cs.CV · 2017 · author #8
- Reconstructing Subject-Specific Effect Maps cs.CV · 2017 · author #2
- Unsupervised domain adaptation in brain lesion segmentation with adversarial networks cs.CV · 2016 · author #11
- Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation cs.CV · 2016 · author #8
- WESD - Weighted Spectral Distance for Measuring Shape Dissimilarity cs.CV · 2012 · author #2
Mentions
- 1208.5016 #2 · backfill · confidence 0.70 Ben Glocker
Frequent Coauthors
- Daniel Rueckert 25 shared papers
- Bernhard Kainz 13 shared papers
- Konstantinos Kamnitsas 11 shared papers
- Ozan Oktay 9 shared papers
- Martin Rajchl 8 shared papers
- Nick Pawlowski 8 shared papers
- Wenjia Bai 8 shared papers
- Enzo Ferrante 6 shared papers
- Steven McDonagh 6 shared papers
- Amir Alansary 5 shared papers
- Matthew Lee 5 shared papers
- Sofia Ira Ktena 5 shared papers
- Benjamin Hou 4 shared papers
- Bishesh Khanal 4 shared papers
- Ender Konukoglu 4 shared papers
- Loic Le Folgoc 4 shared papers
- Matthew C.H. Lee 4 shared papers
- Raghav Mehta 4 shared papers
- Andrea G. Rockall 3 shared papers
- Antonio Criminisi 3 shared papers