4.4k citations · 4.6k across the 14 of their papers we have counts for
5 papers · 1 filter
Approximating the solution to wave propagation using deep neural networks
Wilhelm E. Sorteberg, Stef Garasto, Alison S. Pouplin +2
Humans gain an implicit understanding of physical laws through observing and interacting with the world. Endowing an autonomous agent with an understanding of physical laws through…
Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis +6
We review some of the latest approaches to analysing cardiac electrophysiology data using machine learning and predictive modelling. Cardiac arrhythmias, particularly atrial fibril…
A Multi-task Network to Detect Junctions in Retinal Vasculature
Fatmatulzehra Uslu, Anil Anthony Bharath
Junctions in the retinal vasculature are key points to be able to extract its topology, but they vary in appearance, depending on vessel density, width and branching/crossing angle…
Inverting The Generator Of A Generative Adversarial Network (II)
Antonia Creswell, Anil A Bharath
Generative adversarial networks (GANs) learn a deep generative model that is able to synthesise novel, high-dimensional data samples. New data samples are synthesised by passing la…
Denoising Adversarial Autoencoders: Classifying Skin Lesions Using Limited Labelled Training Data
Antonia Creswell, Alison Pouplin, Anil A Bharath
We propose a novel deep learning model for classifying medical images in the setting where there is a large amount of unlabelled medical data available, but labelled data is in lim…