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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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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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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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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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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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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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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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AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2296

2024

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TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions

International journal for computer assisted radiology and surgery, 2018-09, Vol.13 (9), p.1311-1320

2018

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Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising

Current directions in biomedical engineering, 2018-09, Vol.4 (1), p.297-300

2018

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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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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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Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations

Frontiers in neurology, 2018-11, Vol.9, p.989-989

2018

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Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning

NPJ digital medicine, 2021-09, Vol.4 (1), p.137-137, Article 137

2021

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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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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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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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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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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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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.697-712

2023

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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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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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Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram

Current directions in biomedical engineering, 2019-09, Vol.5 (1), p.17-20

2019

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

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

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

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

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

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images

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

AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning

TernaryNet: faster deep model inference without GPUs for medical 3D segmentation using sparse and binary convolutions

Residual U-Net Convolutional Neural Network Architecture for Low-Dose CT Denoising

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

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

Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations

Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning

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

MRF-Based Deformable Registration and Ventilation Estimation of Lung CT

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

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

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

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

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

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

Deep Learning for Prediction of Diaphragm Activity from the Surface Electromyogram

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