… for automatic classification of cardiac diseases associated with pathological remodelling.
Based on multi-structure segmentation for each time step of the CMRI, we extract domain-…

… for automatic classification of cardiac diseases associated … domain-specific features, which
are motivated by a cardiologist’s workflow, to then train an ensemble of classifiers for disease …

… However, in the medical domain, there is a noticeable shortage in the availability of annotated
training sets as for the currently … Evaluation metrics measure the accuracy of an automated …

… the motion and shape of cardiac features, supporting tasks related to segmentation 2 - 5 , …
Automated Cardiac Diagnosis Challenge (ACDC) 16 . The dataset consisted of a cine-MRI …

… Automatic cardiac disease assessment on cine-MRI via time-series segmentation and
domain specific features. In International workshop on statistical atlases and computational …

… for automatic labeling of cardiac diseases using cine … test a cine MRI-based deep learning
(DL) disease classification … were processed through the automatic segmentation and measure…

… Cardiovascular diseases are responsible for millions of … structures in short-axis cine-MRI
images. The proposed method uses a … masks, solving some problems in the application domain. …

… the cardiac function and presence of coronary artery disease (… variety of domains invites us
to use a segmentation approach … For each time series, we subtracted its mean to overlap the …

… Engelhardt, and KH Maier-Hein, “Automatic cardiac disease assessment on cine-MRI via
time-series segmentation and domain specific features,” in Lect. Notes Comput. Sci., 2018, pp. …

… Combining the apparent flow maps and cardiac segmentation … We believe that making the
automatic methods more understandable … time series characterizing the cardiac motion (eg the …