<div>Link to the code used in:</div><div><br></div><div><div><div>Alexander G. Rakowski, Petar Velickovic, Enrico Dall’Ara, Pietro Liò</div><div><br></div><div>-) Computer Laboratory, University of Cambridge, Cambridge, Cambs, United Kingdom</div><div>-) Department of Oncology & Metabolism, University of Sheffield, Sheffield, South</div><div>Yorkshire, United Kingdom</div></div><div><br></div><div><i>ChronoMID - cross-modal neural networks for 3-D temporal </i><i>medical imaging data;</i> Plos One 2020.</div><div><br></div></div><div><br></div><div><p>The folder includes the codes used to process the images.<br></p><p>A "README.txt" file is added to describe how to run the analyses.</p><p>The whole dataset is stored in the University of Sheffield file-store at the link:<br></p><div>https://web-unidrive.sheffield.ac.uk/shared/multisim2/WP7/</div><div><br></div><p>For further information please contact Dr Enrico Dall'Ara: e.dallara@sheffield.ac.uk</p></div>
Funding
This study was partially supported by the Engineering and Physical Sciences Research Council (MultiSim project, grant number: EP/K03877X/1; ED; https://www.epsrc.ac.uk/), and the National Centre for Replacement, Refinement and Reduction of Animals in Research (NC3Rs, Grant numbers: NC/R001073/1; ED; https://www.nc3rs.org.uk/).