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11/10/2021
Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets
Understanding variability in clinical symptoms of SARS-CoV-2 community i...
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09/06/2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
Quality control (QC) of MR images is essential to ensure that downstream...
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08/18/2021
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks
Biomechanical modeling of tissue deformation can be used to simulate dif...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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12/14/2020
Biomechanical modelling of brain atrophy through deep learning
We present a proof-of-concept, deep learning (DL) based, differentiable ...
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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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02/13/2020
Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE
The increasing efficiency and compactness of deep learning architectures...
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01/31/2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Quality control (QC) of medical images is essential to ensure that downs...
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09/04/2019
Let's agree to disagree: learning highly debatable multirater labelling
Classification and differentiation of small pathological objects may gre...
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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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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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12/21/2018
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Extremely small objects (ESO) have become observable on clinical routine...
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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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07/11/2017