Sdf4chd: Generative modeling of cardiac anatomies with congenital heart defects
Congenital heart disease (CHD) encompasses a spectrum of cardiovascular structural
abnormalities, often requiring customized treatment plans for individual patients …
abnormalities, often requiring customized treatment plans for individual patients …
Robust automated calcification meshing for personalized cardiovascular biomechanics
Calcification has significant influence over cardiovascular diseases and interventions.
Detailed characterization of calcification is thus desired for predictive modeling, but calcium …
Detailed characterization of calcification is thus desired for predictive modeling, but calcium …
Coupled reconstruction of cortical surfaces by diffeomorphic mesh deformation
Accurate reconstruction of cortical surfaces from brain magnetic resonance images (MRIs)
remains a challenging task due to the notorious partial volume effect in brain MRIs and the …
remains a challenging task due to the notorious partial volume effect in brain MRIs and the …
An optimization framework to personalize passive cardiac mechanics
Personalized cardiac mechanics modeling is a powerful tool for understanding the
biomechanics of cardiac function in health and disease and assisting in treatment planning …
biomechanics of cardiac function in health and disease and assisting in treatment planning …
AI‐Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis
Aortic stenosis (AS) is the most common valvular heart disease in developed countries. High‐
fidelity preclinical models can improve AS management by enabling therapeutic innovation …
fidelity preclinical models can improve AS management by enabling therapeutic innovation …
Patient-specific heart geometry modeling for solid biomechanics using deep learning
Automated volumetric meshing of patient-specific heart geometry can help expedite various
biomechanics studies, such as post-intervention stress estimation. Prior meshing techniques …
biomechanics studies, such as post-intervention stress estimation. Prior meshing techniques …
Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field …
Computational fluid dynamics (CFD) can be used for non-invasive evaluation of
hemodynamics. However, its routine use is limited by labor-intensive manual segmentation …
hemodynamics. However, its routine use is limited by labor-intensive manual segmentation …
Whole-Heart Reconstruction with Explicit Topology Integrated Learning
Reconstruction and visualization of cardiac structures play significant roles in computer-
aided clinical practice as well as scientific research. With the advancement of medical …
aided clinical practice as well as scientific research. With the advancement of medical …
ADDG: An Adaptive Domain Generalization Framework for Cross-Plane MRI Segmentation
Multi-planar magnetic resonance imaging (MRI) can provide comprehensive 3D structural
information for disease diagnosis. Compared to multi-source MRI, multi-planar MRI scans …
information for disease diagnosis. Compared to multi-source MRI, multi-planar MRI scans …
MISNeR: Medical Implicit Shape Neural Representation for Image Volume Visualisation
Three‐dimensional visualisation of mesh reconstruction of the medical images is commonly
used for various clinical applications including pre/post‐surgical planning. Such meshes are …
used for various clinical applications including pre/post‐surgical planning. Such meshes are …