J. Alison Noble

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University of Oxford

Principled Ultrasound Data Augmentation for Classification of Standard Planes

Deep learning models with large learning capacities often overfit to med...
03/14/2021 ∙ by Lok Hin Lee, et al. ∙ 1 ∙ share

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Cross-Task Representation Learning for Anatomical Landmark Detection

Recently, there is an increasing demand for automatically detecting anat...
09/28/2020 ∙ by Zeyu Fu, et al. ∙ 0 ∙ share

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Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Morphological analysis of longitudinal MR images plays a key role in mon...
08/29/2020 ∙ by Qianye Yang, et al. ∙ 18 ∙ share

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Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
08/19/2020 ∙ by Jianbo Jiao, et al. ∙ 0 ∙ share

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Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound

In medical imaging, manual annotations can be expensive to acquire and s...
08/14/2020 ∙ by Jianbo Jiao, et al. ∙ 24 ∙ share

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Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound

We present the first system that provides real-time probe movement guida...
07/08/2020 ∙ by Richard Droste, et al. ∙ 2 ∙ share

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Unified Image and Video Saliency Modeling

Visual saliency modeling for images and videos is treated as two indepen...
03/11/2020 ∙ by Richard Droste, et al. ∙ 2 ∙ share

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Self-supervised Representation Learning for Ultrasound Video

Recent advances in deep learning have achieved promising performance for...
02/28/2020 ∙ by Jianbo Jiao, et al. ∙ 0 ∙ share

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Discovering Salient Anatomical Landmarks by Predicting Human Gaze

Anatomical landmarks are a crucial prerequisite for many medical imaging...
01/22/2020 ∙ by Richard Droste, et al. ∙ 0 ∙ share

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Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors

Assessing tumor tissue heterogeneity via ultrasound has recently been su...
12/20/2019 ∙ by Omar S. Al-Kadi, et al. ∙ 31 ∙ share

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Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
09/08/2019 ∙ by Jianbo Jiao, et al. ∙ 0 ∙ share

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UPI-Net: Semantic Contour Detection in Placental Ultrasound

Semantic contour detection is a challenging problem that is often met in...
08/31/2019 ∙ by Huan Qi, et al. ∙ 0 ∙ share

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Conditional Segmentation in Lieu of Image Registration

Classical pairwise image registration methods search for a spatial trans...
06/30/2019 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention

Image representations are commonly learned from class labels, which are ...
03/07/2019 ∙ by Richard Droste, et al. ∙ 0 ∙ share

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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

One of the fundamental challenges in supervised learning for multimodal ...
07/09/2018 ∙ by Yipeng Hu, et al. ∙ 8 ∙ share

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Adversarial Deformation Regularization for Training Image Registration Neural Networks

We describe an adversarial learning approach to constrain convolutional ...
05/27/2018 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Label-driven weakly-supervised learning for multimodal deformable image registration

Spatially aligning medical images from different modalities remains a ch...
11/05/2017 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks

Pixelwise segmentation of the left ventricular (LV) myocardium and the f...
11/03/2017 ∙ by Davis M. Vigneault, et al. ∙ 0 ∙ share

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Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

In this paper, we describe how a patient-specific, ultrasound-probe-indu...
09/05/2017 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks

Sonography synthesis has a wide range of applications, including medical...
07/17/2017 ∙ by Yipeng Hu, et al. ∙ 0 ∙ share

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Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video

We present an automatic method to describe clinically useful information...
07/03/2017 ∙ by Weilin Huang, et al. ∙ 0 ∙ share

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Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization

Intensity variations in image texture can provide powerful quantitative ...
01/14/2016 ∙ by O. S. Al-Kadi, et al. ∙ 0 ∙ share

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J. Alison Noble

Featured Co-authors

Andrew Zisserman

Sébastien Ourselin

Yuan Gao

Tom Vercauteren

Weilin Huang

Weidi Xie

Wenqi Li

Guotai Wang

Yipeng Hu

Marc Modat

Eli Gibson

Principled Ultrasound Data Augmentation for Classification of Standard Planes

Cross-Task Representation Learning for Anatomical Landmark Detection

Longitudinal Image Registration with Temporal-order and Subject-specificity Discrimination

Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis

Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound

Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound

Unified Image and Video Saliency Modeling

Self-supervised Representation Learning for Ultrasound Video

Discovering Salient Anatomical Landmarks by Predicting Human Gaze

Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors

Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images

UPI-Net: Semantic Contour Detection in Placental Ultrasound

Conditional Segmentation in Lieu of Image Registration

Ultrasound Image Representation Learning by Modeling Sonographer Visual Attention

Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration

Adversarial Deformation Regularization for Training Image Registration Neural Networks

Label-driven weakly-supervised learning for multimodal deformable image registration

Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks

Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video

Quantification of Ultrasonic Texture heterogeneity via Volumetric Stochastic Modeling for Tissue Characterization