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Causality matters in medical imaging

Nature communications, 2020-07, Vol.11 (1), p.3673-3673, Article 3673

2020

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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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Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

Medical image analysis, 2018-08, Vol.48, p.117-130

2018

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ElasticFusion: Real-time dense SLAM and light source estimation

The International journal of robotics research, 2016-12, Vol.35 (14), p.1697-1716

2016

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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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Dense image registration through MRFs and efficient linear programming

Medical image analysis, 2008-12, Vol.12 (6), p.731-741

2008

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Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017, p.253-260

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Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

IEEE transactions on medical imaging, 2017-08, Vol.36 (8), p.1597-1606

2017

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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Journal of cardiovascular magnetic resonance, 2018-09, Vol.20 (1), p.65-65, Article 65

2018

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Spectral Graph Convolutions for Population-Based Disease Prediction

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.177-185

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PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

IEEE access, 2019, Vol.7, p.99065-99076

2019

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Active label cleaning for improved dataset quality under resource constraints

Nature communications, 2022-03, Vol.13 (1), p.1161-11, Article 1161

2022

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Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support: Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

1st Edition 2019, 2019

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Local Brain-Age: A U-Net Model

Frontiers in aging neuroscience, 2021-12, Vol.13, p.761954-761954

2021

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Learning-Based Quality Control for Cardiac MR Images

IEEE transactions on medical imaging, 2019-05, Vol.38 (5), p.1127-1138

2019

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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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Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Journal of cardiovascular magnetic resonance, 2019-03, Vol.21 (1), p.18-18, Article 18

2019

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Unified Tracking and Shape Estimation for Concentric Tube Robots

IEEE transactions on robotics, 2017-08, Vol.33 (4), p.901-915

2017

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Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank

Scientific reports, 2020-02, Vol.10 (1), p.2408-2408, Article 2408

2020

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Automatic correction of performance drift under acquisition shift in medical image classification

Nature communications, 2023-10, Vol.14 (1), p.6608-6608, Article 6608

2023

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Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

NPJ digital medicine, 2021-03, Vol.4 (1), p.60-60, Article 60

2021

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Abnormal brain white matter microstructure is associated with both pre-hypertension and hypertension

PloS one, 2017-11, Vol.12 (11), p.e0187600-e0187600

2017

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Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms

BMC cancer, 2023-05, Vol.23 (1), p.460-460, Article 460

2023

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Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 2), p.262-270

2013

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Interventional Tool Tracking Using Discrete Optimization

IEEE transactions on medical imaging, 2013-03, Vol.32 (3), p.544-555

2013

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Causality matters in medical imaging

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

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease

ElasticFusion: Real-time dense SLAM and light source estimation

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

Dense image registration through MRFs and efficient linear programming

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Spectral Graph Convolutions for Population-Based Disease Prediction

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

Active label cleaning for improved dataset quality under resource constraints

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support: Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Local Brain-Age: A U-Net Model

Learning-Based Quality Control for Cardiac MR Images

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

Unified Tracking and Shape Estimation for Concentric Tube Robots

Large-scale Quality Control of Cardiac Imaging in Population Studies: Application to UK Biobank

Automatic correction of performance drift under acquisition shift in medical image classification

Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study

Abnormal brain white matter microstructure is associated with both pre-hypertension and hypertension

Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms

Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations

Interventional Tool Tracking Using Discrete Optimization

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