400 citations · 1.2k across the 67 of their papers we have counts for
4 papers · 2 filters
Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
James H Cole, Rudra PK Poudel, Dimosthenis Tsagkrasoulis +4
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people and deviations from healthy brain ageing have been associated with cogniti…
Adaptive regularization for Lasso models in the context of non-stationary data streams
Ricardo Pio Monti, Christoforos Anagnostopoulos, Giovanni Montana
Large scale, streaming datasets are ubiquitous in modern machine learning. Streaming algorithms must be scalable, amenable to incremental training and robust to the presence of non…
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
Petros-Pavlos Ypsilantis, Giovanni Montana
Computed tomography (CT) generates a stack of cross-sectional images covering a region of the body. The visual assessment of these images for the identification of potential abnorm…
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
Rudra P K Poudel, Pablo Lamata, Giovanni Montana
In cardiac magnetic resonance imaging, fully-automatic segmentation of the heart enables precise structural and functional measurements to be taken, e.g. from short-axis MR images…