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08/10/2023
A coupled-mechanisms modelling framework for neurodegeneration
Computational models of neurodegeneration aim to emulate the evolving pa...
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04/18/2023
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
Extent of resection after surgery is one of the main prognostic factors ...
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02/25/2023
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification
Recent advances in MRI have led to the creation of large datasets. With ...
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06/29/2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided methods have shown added value for diagnosing and predict...
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06/07/2022
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training
Large medical imaging data sets are becoming increasingly available. A c...
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07/31/2020
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Recent years have seen increasing use of supervised learning methods for...
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02/09/2020
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
We present the findings of "The Alzheimer's Disease Prediction Of Longit...
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01/23/2020
TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data
The TADPOLE Challenge compares the performance of algorithms at predicti...
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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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05/10/2018
