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08/24/2023
Learned Local Attention Maps for Synthesising Vessel Segmentations
Magnetic resonance angiography (MRA) is an imaging modality for visualis...
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08/13/2023
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature
The Circle of Willis (CoW) is the part of cerebral vasculature responsib...
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08/07/2023
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels
Accurate segmentation of brain vessels is crucial for cerebrovascular di...
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06/26/2023
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration
Deep learning-based deformable registration methods have been widely inv...
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06/26/2023
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy
Generating virtual populations (VPs) of anatomy is essential for conduct...
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02/06/2023
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs
This study explores the use of the Dirichlet Variational Autoencoder (Di...
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01/07/2023
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology
Recent genome-wide association studies (GWAS) have been successful in id...
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11/24/2022
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images
Medical image registration is a challenging task involving the estimatio...
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10/04/2022
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras
Generating virtual populations of anatomy that capture sufficient variab...
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08/22/2022
Three-dimensional micro-structurally informed in silico myocardium – towards virtual imaging trials in cardiac diffusion weighted MRI
In silico tissue models enable evaluating quantitative models of magneti...
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07/01/2022
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound
Standard plane (SP) localization is essential in routine clinical ultras...
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06/30/2022
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
Tumor infiltration of the recurrent laryngeal nerve (RLN) is a contraind...
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09/14/2021
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays
Since the emergence of COVID-19, deep learning models have been develope...
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08/06/2021
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo
The aortic vessel tree is composed of the aorta and its branching arteri...
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08/02/2021
Flip Learning: Erase to Segment
Nodule segmentation from breast ultrasound images is challenging yet ess...
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08/01/2021
Style Curriculum Learning for Robust Medical Image Segmentation
The performance of deep segmentation models often degrades due to distri...
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07/31/2021
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
3D ultrasound (US) is widely used for its rich diagnostic information. H...
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07/09/2021
A Deep Discontinuity-Preserving Image Registration Network
Image registration aims to establish spatial correspondence across pairs...
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07/07/2021
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation
In large studies involving multi protocol Magnetic Resonance Imaging (MR...
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06/11/2021
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning
Image registration is a fundamental building block for various applicati...
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01/11/2021
Generalize Ultrasound Image Segmentation via Instant and Plug Play Style Transfer
Deep segmentation models that generalize to images with unknown appearan...
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10/01/2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
Coronavirus disease (COVID-19) is an infectious disease caused by a newl...
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09/01/2020
Fed-Sim: Federated Simulation for Medical Imaging
Labelling data is expensive and time consuming especially for domains su...
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07/06/2020
Partially Conditioned Generative Adversarial Networks
Generative models are undoubtedly a hot topic in Artificial Intelligence...
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07/02/2019
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata
Large prospective epidemiological studies acquire cardiovascular magneti...
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01/10/2019
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort
The exploitation of large-scale population data has the potential to imp...
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11/06/2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN
Cardiac magnetic resonance (CMR) images play a growing role in the diagn...
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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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06/15/2017
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI
Cross-modal image synthesis is a topical problem in medical image comput...
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05/07/2017