Bernhard Kainz

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Imperial College London

Lecturer at the Department of Computing at Imperial College London, Advisor at ThinkSONO

Detecting Outliers with Foreign Patch Interpolation

In medical imaging, outliers can contain hypo/hyper-intensities, minor d...
11/09/2020 ∙ by Jeremy Tan, et al. ∙ 16 ∙ share

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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...
10/30/2020 ∙ by Qingjie Meng, et al. ∙ 8 ∙ share

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Surface Agnostic Metrics for Cortical Volume Segmentation and Regression

The cerebral cortex performs higher-order brain functions and is thus im...
10/04/2020 ∙ by Samuel Budd, et al. ∙ 6 ∙ share

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Causal Future Prediction in a Minkowski Space-Time

Estimating future events is a difficult task. Unlike humans, machine lea...
08/20/2020 ∙ by Athanasios Vlontzos, et al. ∙ 25 ∙ share

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Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment

Learning deep neural networks that are generalizable across different do...
08/19/2020 ∙ by Qingjie Meng, et al. ∙ 17 ∙ share

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Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening

Prenatal screening with ultrasound can lower neonatal mortality signific...
08/16/2020 ∙ by Jeremy Tan, et al. ∙ 37 ∙ share

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Projective Latent Space Decluttering

High-dimensional latent representations learned by neural network classi...
06/23/2020 ∙ by Andreas Hinterreiter, et al. ∙ 5 ∙ share

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3D Probabilistic Segmentation and Volumetry from 2D projection images

X-Ray imaging is quick, cheap and useful for front-line care assessment ...
06/23/2020 ∙ by Athanasios Vlontzos, et al. ∙ 22 ∙ share

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Ultrasound Video Summarization using Deep Reinforcement Learning

Video is an essential imaging modality for diagnostics, e.g. in ultrasou...
05/19/2020 ∙ by Tianrui Liu, et al. ∙ 6 ∙ share

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Divergent Search for Few-Shot Image Classification

When data is unlabelled and the target task is not known a priori, diver...
04/16/2020 ∙ by Jeremy Tan, et al. ∙ 12 ∙ share

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Learning Cross-domain Generalizable Features by Representation Disentanglement

Deep learning models exhibit limited generalizability across different d...
02/29/2020 ∙ by Qingjie Meng, et al. ∙ 9 ∙ share

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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 ...
10/07/2019 ∙ by Samuel Budd, et al. ∙ 35 ∙ share

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One Shot Radiance: Global Illumination Using Convolutional Autoencoders

Rendering realistic images with Global Illumination (GI) is a computatio...
10/06/2019 ∙ by Giulio Jiang, et al. ∙ 0 ∙ share

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Automatic Detection of Bowel Disease with Residual Networks

Crohn's disease, one of two inflammatory bowel diseases (IBD), affects 2...
08/31/2019 ∙ by Robert Holland, et al. ∙ 8 ∙ share

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Semi-supervised Learning of Fetal Anatomy from Ultrasound

Semi-supervised learning methods have achieved excellent performance on ...
08/30/2019 ∙ by Jeremy Tan, et al. ∙ 8 ∙ share

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Flexible Conditional Image Generation of Missing Data with Learned Mental Maps

Real-world settings often do not allow acquisition of high-resolution vo...
08/29/2019 ∙ by Benjamin Hou, et al. ∙ 13 ∙ share

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Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound

One of the biggest challenges for deep learning algorithms in medical im...
08/21/2019 ∙ by Qingjie Meng, et al. ∙ 4 ∙ share

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Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers

Manual estimation of fetal Head Circumference (HC) from Ultrasound (US) ...
08/07/2019 ∙ by Samuel Budd, et al. ∙ 4 ∙ share

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Multiple Landmark Detection using Multi-Agent Reinforcement Learning

The detection of anatomical landmarks is a vital step for medical image ...
06/30/2019 ∙ by Athanasios Vlontzos, et al. ∙ 3 ∙ share

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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...
03/05/2019 ∙ by Daniel Grzech, et al. ∙ 8 ∙ share

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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...
01/27/2019 ∙ by Robert Robinson, et al. ∙ 38 ∙ share

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Weakly Supervised Estimation of Shadow Confidence Maps in Ultrasound Imaging

Detecting acoustic shadows in ultrasound images is important in many cli...
11/20/2018 ∙ by Qingjie Meng, et al. ∙ 20 ∙ share

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Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

Revealing latent structure in data is an active field of research, havin...
09/27/2018 ∙ by Daniel Coelho de Castro, et al. ∙ 22 ∙ share

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Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images

We propose a novel attention gate (AG) model for medical image analysis ...
08/22/2018 ∙ by Jo Schlemper, et al. ∙ 6 ∙ share

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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...
07/19/2018 ∙ by Bishesh Khanal, et al. ∙ 0 ∙ share

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Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network

Standard scan plane detection in fetal brain ultrasound (US) forms a cru...
06/19/2018 ∙ by Yuanwei Li, et al. ∙ 16 ∙ share

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Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

We propose a new Patch-based Iterative Network (PIN) for fast and accura...
06/18/2018 ∙ by Yuanwei Li, et al. ∙ 8 ∙ share

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Real-time Prediction of Segmentation Quality

Recent advances in deep learning based image segmentation methods have e...
06/16/2018 ∙ by Robert Robinson, et al. ∙ 14 ∙ share

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Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

We propose a fully automatic method to find standardized view planes in ...
06/08/2018 ∙ by Amir Alansary, et al. ∙ 10 ∙ share

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Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

Pose estimation, i.e. predicting a 3D rigid transformation with respect ...
05/02/2018 ∙ by Benjamin Hou, et al. ∙ 22 ∙ share

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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...
04/24/2018 ∙ by Matthew Sinclair, et al. ∙ 6 ∙ share

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Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

In this work, we apply an attention-gated network to real-time automated...
04/15/2018 ∙ by Jo Schlemper, et al. ∙ 0 ∙ share

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Attention U-Net: Learning Where to Look for the Pancreas

We propose a novel attention gate (AG) model for medical imaging that au...
04/11/2018 ∙ by Ozan Oktay, et al. ∙ 0 ∙ share

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Efficient Image Evidence Analysis of CNN Classification Results

Convolutional neural networks (CNNs) define the current state-of-the-art...
01/05/2018 ∙ by Keyang Zhou, et al. ∙ 0 ∙ share

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DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

We present DLTK, a toolkit providing baseline implementations for effici...
11/18/2017 ∙ by Nick Pawlowski, et al. ∙ 0 ∙ share

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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Deep learning approaches such as convolutional neural nets have consiste...
11/04/2017 ∙ by Konstantinos Kamnitsas, et al. ∙ 0 ∙ share

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Human-level CMR image analysis with deep fully convolutional networks

Cardiovascular magnetic resonance (CMR) imaging is a standard imaging mo...
10/25/2017 ∙ by Wenjia Bai, et al. ∙ 0 ∙ share

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3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

Limited capture range and the requirement to provide high quality initia...
09/19/2017 ∙ by Benjamin Hou, et al. ∙ 0 ∙ share

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

Incorporation of prior knowledge about organ shape and location is key t...
05/22/2017 ∙ by Ozan Oktay, et al. ∙ 0 ∙ share

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Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging

3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast bu...
02/28/2017 ∙ by Steven McDonagh, et al. ∙ 0 ∙ share

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Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion

This paper aims to solve a fundamental problem in intensity-based 2D/3D ...
02/28/2017 ∙ by Benjamin Hou, et al. ∙ 0 ∙ share

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SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Identifying and interpreting fetal standard scan planes during 2D ultras...
12/16/2016 ∙ by Christian F. Baumgartner, et al. ∙ 0 ∙ share

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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...
11/22/2016 ∙ by Amir Alansary, et al. ∙ 0 ∙ share

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Learning under Distributed Weak Supervision

The availability of training data for supervision is a frequently encoun...
06/03/2016 ∙ by Martin Rajchl, et al. ∙ 0 ∙ share

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DeepCut: Object Segmentation from Bounding Box Annotations using Convolutional Neural Networks

In this paper, we propose DeepCut, a method to obtain pixelwise object s...
05/25/2016 ∙ by Martin Rajchl, et al. ∙ 0 ∙ share

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Interactive Volumetry Of Liver Ablation Zones

Percutaneous radiofrequency ablation (RFA) is a minimally invasive techn...
10/21/2015 ∙ by Jan Egger, et al. ∙ 0 ∙ share

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Bernhard Kainz

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