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Biomedical Image Registration: 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings

1, 2022

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Attention gated networks: Learning to leverage salient regions in medical images

Medical image analysis, 2019-04, Vol.53, p.197-207

2019

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GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs

IEEE transactions on medical imaging, 2021-09, Vol.40 (9), p.2246-2257

2021

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Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Medical image analysis, 2019-12, Vol.58, p.101537-101537, Article 101537

2019

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OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions

Medical image analysis, 2019-05, Vol.54, p.1-9

2019

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Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration

Medical image analysis, 2021-01, Vol.67, p.101822-101822, Article 101822

2021

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Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge

IEEE transactions on medical imaging, 2020-03, Vol.39 (3), p.777-786

2020

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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

IEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.384-395

2018

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MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

Medical image analysis, 2012-10, Vol.16 (7), p.1423-1435

2012

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Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions

IEEE transactions on biomedical engineering, 2019-02, Vol.66 (2), p.302-310

2019

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Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints

Sensors (Basel, Switzerland), 2022-02, Vol.22 (3), p.1107

2022

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Anatomy-guided domain adaptation for 3D in-bed human pose estimation

Medical image analysis, 2023-10, Vol.89, p.102887-102887, Article 102887

2023

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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

IEEE transactions on medical imaging, 2023-03, Vol.42 (3), p.1-1

2023

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MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

IEEE transactions on medical imaging, 2013-07, Vol.32 (7), p.1239-1248

2013

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Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging

NeuroImage (Orlando, Fla.), 2017-08, Vol.157, p.561-574

2017

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Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings

1, 2022

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Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions

Computer methods and programs in biomedicine, 2021-11, Vol.211, p.106374-106374, Article 106374

2021

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Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

IEEE transactions on biomedical engineering, 2016-08, Vol.63 (8), p.1563-1572

2016

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Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.2876

2023

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Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients

International journal for computer assisted radiology and surgery, 2019-01, Vol.14 (1), p.43-52

2019

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An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration

Medical image analysis, 2014-12, Vol.18 (8), p.1299-1311

2014

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Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation

Journal of biomedical informatics, 2021-07, Vol.119, p.103816-103816, Article 103816

2021

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Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration

IEEE transactions on medical imaging, 2017-08, Vol.36 (8), p.1746-1757

2017

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Semantically Guided Large Deformation Estimation with Deep Networks

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1392

2020

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Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images

IEEE transactions on medical imaging, 2017-01, Vol.36 (1), p.332-342

2017

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Biomedical Image Registration: 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings

Attention gated networks: Learning to leverage salient regions in medical images

GraphRegNet: Deep Graph Regularisation Networks on Sparse Keypoints for Dense Registration of 3D Lung CTs

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions

Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration

Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions

Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints

Anatomy-guided domain adaptation for 3D in-bed human pose estimation

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis: MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings

Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions

Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT

Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation

Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients

An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration

Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation

Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration

Semantically Guided Large Deformation Estimation with Deep Networks

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images

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