Assessment of deep learning segmentation for real-time free-breathing cardiac magnetic resonance imaging at rest and under exercise stress
M Schilling, C Unterberg-Buchwald, J Lotz… - Scientific Reports, 2024 - nature.com
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation
have been developed and analyzed. However, nearly all of them are focused on cine CMR …
have been developed and analyzed. However, nearly all of them are focused on cine CMR …
ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
AMM Kasmaee, A Ataei, SV Moravvej… - Physiological …, 2024 - iopscience.iop.org
Objective. Myocarditis poses a significant health risk, often precipitated by viral infections
like coronavirus disease, and can lead to fatal cardiac complications. As a less invasive …
like coronavirus disease, and can lead to fatal cardiac complications. As a less invasive …
Assessment of Deep Learning Segmentation for Real-Time Free-Breathing Cardiac Magnetic Resonance Imaging at Rest and Under Exercise Stress
M Schilling, C Unterberg-Buchwald, J Lotz… - arXiv preprint arXiv …, 2023 - arxiv.org
In recent years, a variety of deep learning networks for cardiac MRI (CMR) segmentation
have been developed and analyzed. However, nearly all of them are focused on cine CMR …
have been developed and analyzed. However, nearly all of them are focused on cine CMR …
Deep Learning Methods for the Analysis of Cardiac Function in Real-Time MRI
M Schilling - 2024 - ediss.uni-goettingen.de
Magnetic resonance imaging (MRI) is an essential imaging modality in today's medical field.
It is a non-invasive technique for the visualization of soft tissue, which does not rely on the …
It is a non-invasive technique for the visualization of soft tissue, which does not rely on the …