Aug 17, 2020 · In this study, we propose a novel Anatomy-Aware Tracker (AATracker) for cardiac motion estimation that preserves anatomy by weak supervision. A ...

Sep 29, 2020 · In this study, we propose a novel Anatomy-Aware Tracker (AATracker) for cardiac motion estimation that preserves anatomy by weak supervision.

In this study, we propose a novel Anatomy-Aware Tracker (AATracker) for cardiac motion estimation that preserves anatomy by weak supervision. A convolutional ...

We propose a novel multi-view motion estimation network (MulViMotion), which integrates 2D cine CMR images acquired in short-axis and long-axis planes.

Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation ... Anatomy-Aware Cardiac Motion Estimation. P Chen, X Chen, EZ Chen, H Yu, T ...

In this paper, we propose Motion Pyramid Networks, a novel deep learning-based approach for accurate and efficient cardiac motion estimation. We predict and ...

Jul 17, 2019 · To describe an unsupervised three-dimensional cardiac motion estimation network (CarMEN) for deformable motion estimation from two-dimensional cine MR images.

A fast, symmetric, diffeomorphic, and easy-to-use DL tool for joint affine-deformable registration of any brain image without preprocessing.

Jun 27, 2022 · This work addresses the objective of estimating local predominantly one-dimensional heart motions by making use of FBG-inscribed multi-core fibers and shape ...

We have recently developed a learning-based method for cardiac motion estimation that produces more accurate estimates than various techniques, including B- ...