Ben Glocker
Orcid: 0000-0002-4897-9356Affiliations:
- Imperial College, London, UK
- Technical University Munich, Germany
According to our database1,
Ben Glocker
authored at least 233 papers
between 2007 and 2024.
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Bibliography
2024
Counterfactual contrastive learning: robust representations via causal image synthesis.
CoRR, 2024
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation.
CoRR, 2024
2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.
IEEE Trans. Medical Imaging, November, 2023
Paced-curriculum distillation with prediction and label uncertainty for image segmentation.
Int. J. Comput. Assist. Radiol. Surg., October, 2023
Context Label Learning: Improving Background Class Representations in Semantic Segmentation.
IEEE Trans. Medical Imaging, June, 2023
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging.
Medical Image Anal., 2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare.
CoRR, 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging.
CoRR, 2023
Proceedings of the Machine Learning for Health, 2023
Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
What's fair is... fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning: JustEFAB.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
2022
Trans. Mach. Learn. Res., 2022
Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed.
Trans. Mach. Learn. Res., 2022
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2022
Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks.
Medical Image Anal., 2022
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Investigating underdiagnosis of AI algorithms in the presence of multiple sources of dataset bias.
CoRR, 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation.
Proceedings of the Machine Learning for Health, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Automatic Lesion Analysis for Increased Efficiency in Outcome Prediction of Traumatic Brain Injury.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
A variational Bayesian method for similarity learning in non-rigid image registration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Medical Imaging, 2021
Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.
IEEE Trans. Medical Imaging, 2021
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study.
npj Digit. Medicine, 2021
Adversarial interference and its mitigations in privacy-preserving collaborative machine learning.
Nat. Mach. Intell., 2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
Medical Image Anal., 2021
Medical Image Anal., 2021
Algorithmic encoding of protected characteristics and its implications on disparities across subgroups.
CoRR, 2021
Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo.
CoRR, 2021
CoRR, 2021
Bayesian analysis of the prevalence bias: learning and predicting from imbalanced data.
CoRR, 2021
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.
CoRR, 2021
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification.
Proceedings of the Multimodal Learning for Clinical Decision Support, 2021
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Learning from Partially Overlapping Labels: Image Segmentation Under Annotation Shift.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data.
Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data, 2021
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Patient-Specific 3d Cellular Automata Nodule Growth Synthesis In Lung Cancer Without The Need Of External Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
2019
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Quantitative error prediction of medical image registration using regression forests.
Medical Image Anal., 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
J. Mach. Learn. Res., 2019
Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training.
CoRR, 2019
Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations.
CoRR, 2019
Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects.
CoRR, 2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Overfitting of Neural Nets Under Class Imbalance: Analysis and Improvements for Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.
IEEE Trans. Medical Imaging, 2018
3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.
IEEE Trans. Medical Imaging, 2018
NeuroImage, 2018
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal., 2018
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.
CoRR, 2018
High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks.
CoRR, 2018
CoRR, 2018
NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines.
CoRR, 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
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
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
IEEE Trans. Robotics, 2017
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
IEEE Trans. Medical Imaging, 2017
Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.
IEEE Trans. Medical Imaging, 2017
Pattern Recognit., 2017
NeuroImage, 2017
Learning and combining image neighborhoods using random forests for neonatal brain disease classification.
Medical Image Anal., 2017
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Medical Image Anal., 2017
Robust guidewire tracking under large deformations combining segment-like features (SEGlets).
Medical Image Anal., 2017
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.
Medical Image Anal., 2017
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
CoRR, 2017
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images.
CoRR, 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation.
CoRR, 2017
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
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
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
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
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
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the Functional Imaging and Modelling of the Heart, 2017
2016
Medical Image Anal., 2016
Medical Image Anal., 2016
Int. J. Robotics Res., 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
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
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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
IEEE Trans. Vis. Comput. Graph., 2015
IEEE Trans. Medical Imaging, 2015
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 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
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 Anal., 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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
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
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
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
IEEE Trans. Medical Imaging, 2012
Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes.
Medical Image Anal., 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
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
IEEE Trans. Medical Imaging, 2011
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 Anal., 2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the Computer Vision, 2010
2009
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009
Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009
2008
Medical Image Anal., 2008
Real-time respiratory motion tracking: roadmap correction for hepatic artery catheterizations.
Proceedings of the Medical Imaging 2008: Visualization, 2008
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
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008
2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
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