94 citations
- University of SheffieldGB7 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro de Estudios de Física del Cosmos de AragónES1 paper
- Centro de Química da MadeiraPT1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- Galaxies, Etoiles, Physique et InstrumentationFR1 paper
- IkerbasqueES1 paper
- Institute of Space SciencesES1 paper
- Instituto de Astrofísica de AndalucíaES1 paper
- Instituto de Astrofísica de CanariasES1 paper
- Instituto de Física de CantabriaES1 paper
- Instituto de Física TeóricaES1 paper
7 papers
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy
Michail Mamalakis, Sarah C. Macfarlane, Scott V. Notley +2
We developed a transparent computational large-scale imaging-based framework that can distinguish between normal and metastasizing human cells. The method relies on fluorescence mi…
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI
Prasun C. Tripathi, Mohammod N. I. Suvon, Lawrence Schobs +4
Heart failure is a serious and life-threatening condition that can lead to elevated pressure in the left ventricle. Pulmonary Arterial Wedge Pressure (PAWP) is an important surroga…
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars +6
The global pandemic of COVID-19 is continuing to have a significant effect on the well-being of global population, increasing the demand for rapid testing, diagnosis, and treatment…
Verification of an agent-based disease model of human mycobacterium tuberculosis infection
Cristina Curreli, Francesco Pappalardo, Giulia Russo +5
Agent-Based Models are a powerful class of computational models widely used to simulate complex phenomena in many different application areas. However, one of the most critical asp…
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
Sam Coveney, Cesare Corrado, Caroline H Roney +7
In patients with atrial fibrillation, local activation time (LAT) maps are routinely used for characterising patient pathophysiology. The gradient of LAT maps can be used to calcul…
Target-distractor Synchrony Affects Performance in a Novel Motor Task for Studying Action Selection
Sebastian James, Olivia A. Bell, Muhammed A. M. Nazli +8
The study of action selection in humans can present challenges of task design since our actions are usually defined by many degrees of freedom and therefore occupy a large action-s…