Sulaiman Vesal, PhD student at the Pattern Recognition Lab made second place in the STACOM left atrial segmentation challenge at MICCAI 2018. The participants were required to produce a computational framework capable of performing fully automatic segmentation of the LA cavity from 3D GE-MRIs without any manual assistance. Sulaiman proposed a 3D deep learning framework which automatically and accurately segments the left atrium in GE-MRIs.