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08/14/2023
The minimal computational substrate of fluid intelligence
The quantification of cognitive powers rests on identifying a behavioura...
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07/27/2023
Generative AI for Medical Imaging: extending the MONAI Framework
Recent advances in generative AI have brought incredible breakthroughs i...
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07/07/2023
Unsupervised 3D out-of-distribution detection with latent diffusion models
Methods for out-of-distribution (OOD) detection that scale to 3D data ar...
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07/03/2023
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols
We propose a new method, Patch-CNN, for diffusion tensor (DT) estimation...
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05/27/2023
Deep Variational Lesion-Deficit Mapping
Causal mapping of the functional organisation of the human brain require...
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11/14/2022
Denoising Diffusion Models for Out-of-Distribution Detection
Out-of-distribution detection is crucial to the safe deployment of machi...
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09/15/2022
Brain Imaging Generation with Latent Diffusion Models
Deep neural networks have brought remarkable breakthroughs in medical im...
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09/07/2022
Morphology-preserving Autoregressive 3D Generative Modelling of the Brain
Human anatomy, morphology, and associated diseases can be studied using ...
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07/25/2022
Representational Ethical Model Calibration
Equity is widely held to be fundamental to the ethics of healthcare. In ...
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07/01/2022
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?
This paper demonstrates spherical convolutional neural networks (S-CNN) ...
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06/13/2022
Fitting Segmentation Networks on Varying Image Resolutions using Splatting
Data used in image segmentation are not always defined on the same grid....
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06/13/2022
Translating automated brain tumour phenotyping to clinical neuroimaging
Background: The complex heterogeneity of brain tumours is increasingly r...
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06/09/2022
Solid NURBS Conforming Scaffolding for Isogeometric Analysis
This work introduces a scaffolding framework to compactly parametrise so...
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06/07/2022
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models
Deep generative models have emerged as promising tools for detecting arb...
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05/21/2022
Transformer-based out-of-distribution detection for clinically safe segmentation
In a clinical setting it is essential that deployed image processing sys...
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04/05/2022
GeoSPM: Geostatistical parametric mapping for medicine
The characteristics and determinants of health and disease are often org...
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11/29/2021
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
We describe Countersynth, a conditional generative model of diffeomorphi...
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11/24/2021
Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion
Models of human motion commonly focus either on trajectory prediction or...
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10/17/2021
Deep forecasting of translational impact in medical research
The value of biomedical research–a 1.7 trillion annual investment–is ult...
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07/21/2021
An artificial intelligence natural language processing pipeline for information extraction in neuroradiology
The use of electronic health records in medical research is difficult be...
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10/05/2020
Test-time Unsupervised Domain Adaptation
Convolutional neural networks trained on publicly available medical imag...
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06/03/2020
Flexible Bayesian Modelling for Nonlinear Image Registration
We describe a diffeomorphic registration algorithm that allows groups of...
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02/13/2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
The increasing efficiency and compactness of deep learning architectures...
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10/29/2019
Towards Quantifying Neurovascular Resilience
Whilst grading neurovascular abnormalities is critical for prompt surgic...
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10/22/2019
Unsupervised Videographic Analysis of Rodent Behaviour
Animal behaviour is complex and the amount of data in the form of video,...
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09/03/2019
A Tool for Super-Resolving Multimodal Clinical MRI
We present a tool for resolution recovery in multimodal clinical magneti...
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08/16/2019
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning
Supervised learning algorithms trained on medical images will often fail...
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08/16/2019
Empirical Bayesian Mixture Models for Medical Image Translation
Automatically generating one medical imaging modality from another is kn...
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07/26/2019
Bayesian Volumetric Autoregressive generative models for better semisupervised learning
Deep generative models are rapidly gaining traction in medical imaging. ...
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10/08/2018
MRI Super-Resolution using Multi-Channel Total Variation
This paper presents a generative model for super-resolution in routine c...
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09/14/2018
Elastic Registration of Geodesic Vascular Graphs
Vascular graphs can embed a number of high-level features, from morpholo...
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07/17/2018
PIMMS: Permutation Invariant Multi-Modal Segmentation
In a research context, image acquisition will often involve a pre-define...
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06/08/2018
VTrails: Inferring Vessels with Geodesic Connectivity Trees
The analysis of vessel morphology and connectivity has an impact on a nu...
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09/11/2017
