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06/27/2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection
Machine learning models deployed on medical imaging tasks must be equipp...
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07/16/2021
An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling
The deviation between chronological age and age predicted from neuroimag...
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04/28/2021
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
We propose a parameter efficient Bayesian layer for hierarchical convolu...
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07/08/2020
Labelling imaging datasets on the basis of neuroradiology reports: a validation study
Natural language processing (NLP) shows promise as a means to automate t...
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02/16/2020
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
Labelling large datasets for training high-capacity neural networks is a...
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10/08/2019
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures
The use of machine learning (ML) algorithms has significantly increased ...
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05/26/2017
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model
Large-scale collaborative analysis of brain imaging data, in psychiatry ...
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12/08/2016