<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Schlemper, Jo</style></author><author><style face="normal" font="default" size="100%">Oktay, Ozan</style></author><author><style face="normal" font="default" size="100%">Schaap, Michiel</style></author><author><style face="normal" font="default" size="100%">Heinrich, Mattias P.</style></author><author><style face="normal" font="default" size="100%">Kainz, Bernhard</style></author><author><style face="normal" font="default" size="100%">Glocker, Ben</style></author><author><style face="normal" font="default" size="100%">Rueckert, Daniel</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Attention gated networks: Learning to leverage salient regions in medical images</style></title><secondary-title><style face="normal" font="default" size="100%">Medical Image Analysis</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">04/2019</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.sciencedirect.com/science/article/pii/S1361841518306133?via%3Dihub</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">53</style></volume><pages><style face="normal" font="default" size="100%">197 - 207</style></pages></record></records></xml>