Bart Vorselaars published the paper “Efficient Langevin and Monte Carlo sampling algorithms: The case of field-theoretic simulations” in the Journal of Chemical Physics (with impact factor 4.3) and is available here (and […]
Our paper “A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays” has been published in the journal Scientific Reports (with impact […]
Our paper “Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers” part of the special issue New Insights into the Molecular Mechanisms of Kidney Injury […]
Our paper “DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays” has been published in the journal Computerized Medical Imaging and Graphics (with impact […]
Date: Wednesday 8th of February 2023, 13:30 (GMT).Location: Isaac Newton Building (INB3305) and Online MS Teams meeting ‘Mesoscale, molecules and more: simulations with DL_Software’ by Dr Michael Seaton, UK Research and Innovation, […]
Date: Friday 20th of January 2023, 12:00 (GMT).Location: Online MS Teams meeting ‘Observing the birth of crystals using machine-learning assisted simulations’ by Dr Julien Lam, CEMES-CNRS, Toulouse, France. Co-authors: Jacek Goniakowski, Sarath […]
Centre for Computational Physics 