Lifetime multidisciplinary computational anatomy model

Abstract

I report computational anatomy models along time or scale axes of embryos, children or cadavers of adults. First, novel technologies to solve problems in the spatio-temporal modelling of embryos or children caused by small sample for training, rapid growing or changes including topological changes of anatomical features, are given in the presentation. Subsequently, deep learning based super-resolution for lungs of adult cadaver is presented.