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VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography

Medical image analysis, 2018-07, Vol.47, p.127-139

2018

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Weakly-supervised convolutional neural networks for multimodal image registration

Medical image analysis, 2018-10, Vol.49, p.1-13

2018

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Ultrasound image segmentation: a survey

IEEE transactions on medical imaging, 2006-08, Vol.25 (8), p.987-1010

2006

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Automated 3D ultrasound image analysis for first trimester assessment of fetal health

Physics in medicine & biology, 2019-09, Vol.64 (18), p.185010-185010

2019

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Reflections on ultrasound image analysis

Medical image analysis, 2016-10, Vol.33, p.33-37

Alison Noble, J.

2016

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Learning-based prediction of gestational age from ultrasound images of the fetal brain

Medical image analysis, 2015-04, Vol.21 (1), p.72-86

2015

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Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound

2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021, Vol.2021, p.1646-1649

2021

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First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, Vol.2022, p.1-4

2022

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CAT & MAUS: a novel system for true dynamic motion measurement of underlying bony structures with compensation for soft tissue movement

Journal of biomechanics, 2017-09, Vol.62, p.156-164

2017

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Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step

Medical image analysis, 2015-12, Vol.26 (1), p.30-46

2015

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Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption

2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023, Vol.28, p.1-5

2023

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Task model-specific operator skill assessment in routine fetal ultrasound scanning

International journal for computer assisted radiology and surgery, 2022-08, Vol.17 (8), p.1437-1444

2022

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End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, Vol.2022, p.1-5

2022

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The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking

Medical image analysis, 2011-08, Vol.15 (4), p.514-528

2011

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Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound

Simplifying Medical Ultrasound, 2021-09, p.129-138

2021

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Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks

Medical image analysis, 2018-08, Vol.48, p.95-106

2018

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Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1195-1198

2018

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Detecting overlapping instances in microscopy images using extremal region trees

Medical image analysis, 2016-01, Vol.27, p.3-16

2016

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Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning

Medical image analysis, 2018-05, Vol.46, p.1-14

2018

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Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons

Medical image analysis, 2023-05, Vol.86, p.102768-102768, Article 102768

2023

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Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks

Medical image analysis, 2022-11, Vol.82, p.102630-102630, Article 102630

2022

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Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

Medical image analysis, 2021-04, Vol.69, p.101973-101973, Article 101973

2021

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Automated annotation and quantitative description of ultrasound videos of the fetal heart

Medical image analysis, 2017-02, Vol.36, p.147-161

2017

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Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

IEEE transactions on medical imaging, 2020-12, Vol.39 (12), p.4413-4424

2020

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Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning

Medical image analysis, 2023-12, Vol.90, p.102981-102981, Article 102981

2023

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VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography

Weakly-supervised convolutional neural networks for multimodal image registration

Ultrasound image segmentation: a survey

Automated 3D ultrasound image analysis for first trimester assessment of fetal health

Reflections on ultrasound image analysis

Learning-based prediction of gestational age from ultrasound images of the fetal brain

Multi-Modal Learning from Video, Eye Tracking, and Pupillometry for Operator Skill Characterization in Clinical Fetal Ultrasound

First Trimester Video Saliency Prediction Using Clstmu-Net with Stochastic Augmentation

CAT & MAUS: a novel system for true dynamic motion measurement of underlying bony structures with compensation for soft tissue movement

Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step

Towards Standard Plane Prediction of Fetal Head Ultrasound with Domain Adaption

Task model-specific operator skill assessment in routine fetal ultrasound scanning

End-to-End First Trimester Fetal Ultrasound Video Automated CRL And NT Segmentation

The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking

Towards Scale and Position Invariant Task Classification Using Normalised Visual Scanpaths in Clinical Fetal Ultrasound

Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks

Quantification of cardiac bull's-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography

Detecting overlapping instances in microscopy images using extremal region trees

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning

Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons

Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks

Knowledge representation and learning of operator clinical workflow from full-length routine fetal ultrasound scan videos

Automated annotation and quantitative description of ultrasound videos of the fetal heart

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Gaze-probe joint guidance with multi-task learning in obstetric ultrasound scanning

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