Successive Subspace Learning for Cardiac Disease Classification with Two-phase Deformation Fields from Cine MRI

no code implementations • 21 Jan 2023 • Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Cardiac cine magnetic resonance imaging (MRI) has been used to characterize cardiovascular diseases (CVD), often providing a noninvasive phenotyping tool.~While recently flourished deep learning based approaches using cine MRI yield accurate characterization results, the performance is often degraded by small training samples.

Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI

no code implementations • 22 Jul 2021 • Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Assessment of cardiovascular disease (CVD) with cine magnetic resonance imaging (MRI) has been used to non-invasively evaluate detailed cardiac structure and function.

Dimensionality Reduction feature selection +2