Multiscale feature fusion network for 3D head MRI image registration
S Yang, H Li, S Chen, W Huang, D Liu, G Ruan… - Medical …, 2023 - Wiley Online Library
Background Image registration technology has become an important medical image
preprocessing step with the wide application of computer‐aided diagnosis technology in …
preprocessing step with the wide application of computer‐aided diagnosis technology in …
[HTML][HTML] Characterization of dynamic patterns of human fetal to neonatal brain asymmetry with deformation-based morphometry
Introduction Despite established knowledge on the morphological and functional
asymmetries in the human brain, the understanding of how brain asymmetry patterns …
asymmetries in the human brain, the understanding of how brain asymmetry patterns …
Scale‐adaptive deep network for deformable image registration
Y Sang, D Ruan - Medical Physics, 2021 - Wiley Online Library
Purpose Multiresolution hierarchical strategy is typically used in conventional optimization‐
based image registration to capture varying magnitudes of deformations while avoiding …
based image registration to capture varying magnitudes of deformations while avoiding …
Inter-phase 4D cardiac MRI registration with a motion prior derived from CTA
Objective: Registration between phases in 4D cardiac MRI is essential for reconstructing
high-quality images and appreciating the dynamics. Complex motion and limited image …
high-quality images and appreciating the dynamics. Complex motion and limited image …
DWD-net: Cascaded local and global deep learning network for brain MR registration
Y Yang, Y Wang, J Li, L Zhang… - 2021 14th International …, 2021 - ieeexplore.ieee.org
At present, non-rigid registration of adult brain magnetic resonance (MR) images has been
widely applied. Both traditional registration methods and those based on deep learning can …
widely applied. Both traditional registration methods and those based on deep learning can …
Imposing implicit feasibility constraints on deformable image registration using a statistical generative model
Purpose: Deformable registration problems are conventionally posed in a regularized
optimization framework, where balance between fidelity and prescribed regularization …
optimization framework, where balance between fidelity and prescribed regularization …
Characterisation of Longitudinal Brain Morphology, Neurometabolism and Prenatal to Neonatal Brain Growth in Patients with Congenital Heart Disease
C Steger - 2024 - zora.uzh.ch
Congenital heart disease (CHD) affect 8 in 1000 newborns (Liu et al. 2019). The
consequences of CHD vary greatly, depending on the specific type of CHD. While …
consequences of CHD vary greatly, depending on the specific type of CHD. While …
Preliminary feasibility study of imaging registration between supine and prone breast CT in breast cancer radiotherapy using residual recursive cascaded networks
Breast cancer is one of the most common malignancies in women. The prone position in
Partial Breast Irradiation (PBI) can better protect the heart and lung during radiotherapy …
Partial Breast Irradiation (PBI) can better protect the heart and lung during radiotherapy …
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI
Registration of hepatic dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)
series remains challenging, due to variable uptakes of the agent on different tissues or even …
series remains challenging, due to variable uptakes of the agent on different tissues or even …