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11/09/2020
Detecting Outliers with Foreign Patch Interpolation
In medical imaging, outliers can contain hypo/hyper-intensities, minor d...
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10/30/2020
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging
Deep neural networks exhibit limited generalizability across images with...
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10/04/2020
Surface Agnostic Metrics for Cortical Volume Segmentation and Regression
The cerebral cortex performs higher-order brain functions and is thus im...
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08/20/2020
Causal Future Prediction in a Minkowski Space-Time
Estimating future events is a difficult task. Unlike humans, machine lea...
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08/19/2020
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment
Learning deep neural networks that are generalizable across different do...
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08/16/2020
Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening
Prenatal screening with ultrasound can lower neonatal mortality signific...
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06/23/2020
Projective Latent Space Decluttering
High-dimensional latent representations learned by neural network classi...
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06/23/2020
3D Probabilistic Segmentation and Volumetry from 2D projection images
X-Ray imaging is quick, cheap and useful for front-line care assessment ...
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05/19/2020
Ultrasound Video Summarization using Deep Reinforcement Learning
Video is an essential imaging modality for diagnostics, e.g. in ultrasou...
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04/16/2020
Divergent Search for Few-Shot Image Classification
When data is unlabelled and the target task is not known a priori, diver...
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02/29/2020
Learning Cross-domain Generalizable Features by Representation Disentanglement
Deep learning models exhibit limited generalizability across different d...
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10/07/2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Fully automatic deep learning has become the state-of-the-art technique ...
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10/06/2019
One Shot Radiance: Global Illumination Using Convolutional Autoencoders
Rendering realistic images with Global Illumination (GI) is a computatio...
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08/31/2019
Automatic Detection of Bowel Disease with Residual Networks
Crohn's disease, one of two inflammatory bowel diseases (IBD), affects 2...
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08/30/2019
Semi-supervised Learning of Fetal Anatomy from Ultrasound
Semi-supervised learning methods have achieved excellent performance on ...
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08/29/2019
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
Real-world settings often do not allow acquisition of high-resolution vo...
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08/21/2019
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
One of the biggest challenges for deep learning algorithms in medical im...
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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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06/30/2019
Multiple Landmark Detection using Multi-Agent Reinforcement Learning
The detection of anatomical landmarks is a vital step for medical image ...
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03/05/2019
FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms
We present a new approach to diffeomorphic non-rigid registration of med...
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01/27/2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study
Background: The trend towards large-scale studies including population i...
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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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09/27/2018
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Revealing latent structure in data is an active field of research, havin...
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08/22/2018
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
We propose a novel attention gate (AG) model for medical image analysis ...
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07/19/2018
EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers
Ultrasound (US) is the most widely used fetal imaging technique. However...
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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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06/16/2018
Real-time Prediction of Segmentation Quality
Recent advances in deep learning based image segmentation methods have e...
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06/08/2018
Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
We propose a fully automatic method to find standardized view planes in ...
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05/02/2018
Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry
Pose estimation, i.e. predicting a 3D rigid transformation with respect ...
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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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04/15/2018
Attention-Gated Networks for Improving Ultrasound Scan Plane Detection
In this work, we apply an attention-gated network to real-time automated...
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04/11/2018
Attention U-Net: Learning Where to Look for the Pancreas
We propose a novel attention gate (AG) model for medical imaging that au...
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01/05/2018
Efficient Image Evidence Analysis of CNN Classification Results
Convolutional neural networks (CNNs) define the current state-of-the-art...
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11/18/2017
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images
We present DLTK, a toolkit providing baseline implementations for effici...
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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
Human-level CMR image analysis with deep fully convolutional networks
Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
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09/19/2017
3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images
Limited capture range and the requirement to provide high quality initia...
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05/22/2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Incorporation of prior knowledge about organ shape and location is key t...
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02/28/2017
Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging
3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...
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02/28/2017
Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion
This paper aims to solve a fundamental problem in intensity-based 2D/3D ...
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12/16/2016
SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound
Identifying and interpreting fetal standard scan planes during 2D ultras...
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11/22/2016
PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI
In this paper we present a novel method for the correction of motion art...
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06/03/2016
Learning under Distributed Weak Supervision
The availability of training data for supervision is a frequently encoun...
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05/25/2016
DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks
In this paper, we propose DeepCut, a method to obtain pixelwise object s...
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10/21/2015