400 citations · 1.2k across the 67 of their papers we have counts for
4 papers · 2 filters
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…
Random Forest regression for manifold-valued responses
Dimosthenis Tsagkrasoulis, Giovanni Montana
An increasing array of biomedical and computer vision applications requires the predictive modeling of complex data, for example images and shapes. The main challenge when predicti…
Learning what to look in chest X-rays with a recurrent visual attention model
Petros-Pavlos Ypsilantis, Giovanni Montana
X-rays are commonly performed imaging tests that use small amounts of radiation to produce pictures of the organs, tissues, and bones of the body. X-rays of the chest are used to d…