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01/01/2023
Image To Tree with Recursive Prompting
Extracting complex structures from grid-based data is a common key step ...
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12/18/2020
Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks
Deep learning models for semantic segmentation are able to learn powerfu...
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01/31/2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
Tissue characterisation with CMR parametric mapping has the potential to...
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08/07/2019
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers
Manual estimation of fetal Head Circumference (HC) from Ultrasound (US) ...
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11/20/2018
Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging
Detecting acoustic shadows in ultrasound images is important in many cli...
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10/03/2018
A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
In the clinical routine, short axis (SA) cine cardiac MR (CMR) image sta...
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08/02/2018
Weakly Supervised Localisation for Fetal Ultrasound Images
This paper addresses the task of detecting and localising fetal anatomic...
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06/19/2018
Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network
Standard scan plane detection in fetal brain ultrasound (US) forms a cru...
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06/18/2018
Fast Multiple Landmark Localisation Using a Patch-based Iterative Network
We propose a new Patch-based Iterative Network (PIN) for fast and accura...
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04/24/2018
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks
Measurement of head biometrics from fetal ultrasonography images is of k...
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11/04/2017
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Deep learning approaches such as convolutional neural nets have consiste...
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10/25/2017