Tootfinder

High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning
Mark Wrobel (UCL Centre for Translational Cardiovascular Imaging, University College London), Michele Pascale (UCL Centre for Translational Cardiovascular Imaging, University College London), Tina Yao (UCL Centre for Translational Cardiovascular Imaging, University College London), Ruaraidh Campbell (UCL Centre for Translational Cardiovascular Imaging, Univers…

High Resolution Isotropic 3D Cine imaging with Automated Segmentation using Concatenated 2D Real-time Imaging and Deep Learning
Background: Conventional cardiovascular magnetic resonance (CMR) in paediatric and congenital heart disease uses 2D, breath-hold, balanced steady state free precession (bSSFP) cine imaging for assessment of function and cardiac-gated, respiratory-navigated, static 3D bSSFP whole-heart imaging for anatomical assessment. Our aim is to concatenate a stack 2D free-breathing real-time cines and use Deep Learning (DL) to create an isotropic a fully segmented 3D cine dataset from these images. Methods…

Due to a recent post about #friction I've found out about #cinelinux.
Looks like a bilingual Brazilian blog/forum about #VFX and related topics and software solutions on Linux!
They aren'…

This https://arxiv.org/abs/2505.16452 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI
Accurate and efficient quantification of cardiac function is essential for the estimation of prognosis of cardiovascular diseases (CVDs). One of the most commonly used metrics for evaluating cardiac pumping performance is left ventricular ejection fraction (LVEF). However, LVEF can be affected by factors such as inter-observer variability and varying pre-load and after-load conditions, which can reduce its reproducibility. Additionally, cardiac dysfunction may not always manifest as alterations…