no code implementations • 25 Sep 2019 • Irem Cetin, Gerard Sanroma, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel-Angel Gonzalez Ballester, Karim Lekadir
In this paper, we present a new approach to identify CVDs from cine-MRI by estimating large pools of radiomic features (statistical, shape and textural features) encoding relevant changes in anatomical and image characteristics due to CVDs.
no code implementations • CVPR 2014 • Gerard Sanroma, Guorong Wu, Yaozong Gao, Dinggang Shen
In this way, we can select the best atlases according to their expected labeling accuracy.