Silvia Schievano
Orcid: 0000-0003-2037-5339
According to our database1,
Silvia Schievano
authored at least 20 papers
between 2010 and 2024.
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Bibliography
2024
Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.
PLoS Comput. Biol., 2024
Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.
CoRR, 2024
Latent disentanglement in mesh variational autoencoders improves the diagnosis of craniofacial syndromes and aids surgical planning.
Comput. Methods Programs Biomed., 2024
A computational modelling tool for prediction of head reshaping following endoscopic strip craniectomy and helmet therapy for the treatment of scaphocephaly.
Comput. Biol. Medicine, 2024
VheaRts: Reporting a Single-Centre Experience in Developing and Implementing a Virtual Reality Application for Planning Treatment of Congenital Heart Disease.
Proceedings of the Extended Reality - International Conference, 2024
Improving Understanding of Cardiovascular Structures: A Workflow to Visualize Patient-Specific Simulations in Virtual Reality.
Proceedings of the Extended Reality - International Conference, 2024
2023
Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.
PLoS Comput. Biol., 2023
2022
Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.
CoRR, 2022
Parametrizing the genioplasty: a biomechanical virtual study on soft tissue behavior.
Int. J. Comput. Assist. Radiol. Surg., 2022
2020
A novel RBF-based predictive tool for facial distraction surgery in growing children with syndromic craniosynostosis.
Int. J. Comput. Assist. Radiol. Surg., 2020
Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2017
Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches.
IEEE Trans. Biomed. Eng., 2017
Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta.
BMC Medical Imaging, 2016
Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients.
Proceedings of the Reconstruction, Segmentation, and Analysis of Medical Images, 2016
2015
A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
2012
Medical Biol. Eng. Comput., 2012
A multi-physics and multi-scale lumped parameter model of cardiac contraction of the left ventricle: A conceptual model from the protein to the organ scale.
Comput. Biol. Medicine, 2012
2010
Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010