225 citations · 230 across the 3 of their papers we have counts for
5 papers
Learning a low dimensional manifold of real cancer tissue with PathologyGAN
Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan
Application of deep learning in digital pathology shows promise on improving disease diagnosis and understanding. We present a deep generative model that learns to simulate high-fi…
Spatial images from temporal data
Alex Turpin, Gabriella Musarra, Valentin Kapitany +8
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial st…
Transmission of natural scene images through a multimode fibre
Piergiorgio Caramazza, Oisín Moran, Roderick Murray-Smith +1
The optical transport of images through a multimode fibre remains an outstanding challenge with applications ranging from optical communications to neuro-imaging. State of the art…
Kaon Photoproduction and the Decay Parameter
D. G. Ireland, M. Döring, D. I. Glazier +4
The weak decay parameter of the is an important quantity for the extraction of polarization observables in various experiments. Moreover, in combination with from $…
Neural network identification of people hidden from view with a single-pixel, single-photon detector
Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek +5
Light scattered from multiple surfaces can be used to retrieve information of hidden environments. However, full three-dimensional retrieval of an object hidden from view by a wall…