400 citations · 1.2k across the 67 of their papers we have counts for
21 papers · 1 filter
Model-based trajectory stitching for improved behavioural cloning and its applications
Charles A. Hepburn, Giovanni Montana
Behavioural cloning (BC) is a commonly used imitation learning method to infer a sequential decision-making policy from expert demonstrations. However, when the quality of the data…
Adaptive Experience Selection for Policy Gradient
Saad Mohamad, Giovanni Montana
Policy gradient reinforcement learning (RL) algorithms have achieved impressive performance in challenging learning tasks such as continuous control, but suffer from high sample co…
V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation
Nicoló Savioli, Giovanni Montana, Pablo Lamata
Atrial Fibrillation (AF) is a common electro-physiological cardiac disorder that causes changes in the anatomy of the atria. A better characterization of these changes is desirable…
Longitudinal detection of radiological abnormalities with time-modulated LSTM
Ruggiero Santeramo, Samuel Withey, Giovanni Montana
Convolutional neural networks (CNNs) have been successfully employed in recent years for the detection of radiological abnormalities in medical images such as plain x-rays. To date…
Deep metric learning for multi-labelled radiographs
Mauro Annarumma, Giovanni Montana
Many radiological studies can reveal the presence of several co-existing abnormalities, each one represented by a distinct visual pattern. In this article we address the problem of…
Learning to detect chest radiographs containing lung nodules using visual attention networks
Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey +3
Machine learning approaches hold great potential for the automated detection of lung nodules in chest radiographs, but training the algorithms requires vary large amounts of manual…