CNN

Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
The analysis of mitral valve motion is known to be relevant in the diagnosis of cardiac dysfunction. Dynamic motion parameters can be …
Maria Monzon, Seung Su Yoon, Carola Fischer, Andreas Maier, Jens Wetz, Daniel Giese
PDF Cite Video
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning
Phase-contrast (PC) MRI is used to evaluate blood hemodynamics; however, it can be time consuming to process PC-MR data. In this work, …
Ning Jin, Maria Monzon, Teodora Chitiboi, Aaron Pruitt, Daniel Giese, Matthew Tong, Orlando P Simonetti
PDF Cite Video
Automated Vessel Segmentation for 2D Phase Contrast MR Using Deep Learning
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Automatic derived parameter for valve motion assessment and interactive visualization dashboard for cluster analysis and anomaly detec.
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Assessment of cardiac valve motion on time-resolved MRI images using deep learning
M.Sc. Thesis carried out in collaboration with Siemens Healthineers. Research state-of-the-art literature on cardiac MRI slice tracking and medical landmark detection. Develop a robust novel valve tracking 3D-CNN algorithm based on heatmap regression
Summary PDF Report
Assessment of cardiac valve motion on time-resolved MRI images using deep learning
Adaptive Frame Rate for Egocentric Video
New adaptive sampling strategy based on a motion context measure for ego +centric video was developed. The new method enables to save energy keeping a promising performance rate.
PDF View Report
Adaptive Frame Rate for Egocentric Video