Silvia Schievano

According to our database, Silvia Schievano authored at least 16 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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.

Tina Yao, Endrit Pajaziti, Michael Quail, Silvia Schievano, Jennifer Anne Steeden, Vivek Muthurangu

CoRR, 2024

2023

Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.

Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Michael Quail, Silvia Schievano, Vivek Muthurangu

PLoS Comput. Biol., 2023

Latent Disentanglement in Mesh Variational Autoencoders Improves the Diagnosis of Craniofacial Syndromes and Aids Surgical Planning.

Simone Foti, Alexander J. Rickart, Bongjin Koo, Eimear O' Sullivan, Lara S. van de Lande, Athanasios Papaioannou, Roman Khonsari, Danail Stoyanov, N. U. Owase Jeelani, Silvia Schievano, David J. Dunaway, Matthew J. Clarkson

CoRR, 2023

2022

Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields.

Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Silvia Schievano, Vivek Muthurangu

CoRR, 2022

Parametrizing the genioplasty: a biomechanical virtual study on soft tissue behavior.

Federica Ruggiero, Giovanni Badiali, Mirko Bevini, C. Marchetti, Juling Ong, Federico Bolognesi, Silvia Schievano, David J. Dunaway, A. Bianchi, Alessandro Borghi

Int. J. Comput. Assist. Radiol. Surg., 2022

2020

A novel RBF-based predictive tool for facial distraction surgery in growing children with syndromic craniosynostosis.

Freida Angullia, W. Richard Fright, R. Richards, Silvia Schievano, Alf D. Linney, David J. Dunaway

Int. J. Comput. Assist. Radiol. Surg., 2020

Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders.

Eimear O' Sullivan, Lara van de Lande, Antonia Osolos, Silvia Schievano, David J. Dunaway, Neil Bulstrode, Stefanos Zafeiriou

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.

Jan L. Bruse, Maria A. Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell N. Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano

IEEE Trans. Biomed. Eng., 2017

Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Naiara Rodriguez-Florez, Jan L. Bruse, Alessandro Borghi, Herman Vercruysse, Juling Ong, Greg James, Xavier Pennec, David J. Dunaway, N. U. Owase Jeelani, Silvia Schievano

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.

Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano

BMC Medical Imaging, 2016

Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients.

Maria A. Zuluaga, Benedetta Biffi, Andrew Mayall Taylor, Silvia Schievano, Tom Vercauteren, Sébastien Ourselin

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?

Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Papillary Muscle Segmentation from a Multi-atlas Database: A Feasibility Study.

Benedetta Biffi, Maria A. Zuluaga, Sébastien Ourselin, Andrew Mayall Taylor, Silvia Schievano

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

2012

Patient-specific simulations of transcatheter aortic valve stent implantation.

Claudio Capelli, Giorgia M. Bosi, E. Cerri, J. Nordmeyer, Thomas Odenwald, P. Bonhoeffer, Francesco Migliavacca, Andrew Mayall Taylor, Silvia Schievano

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.

Benjamin Bhattacharya-Ghosh, Silvia Schievano, Vanessa Díaz-Zuccarini

Comput. Biol. Medicine, 2012

2010

Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging.

Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Silvia Schievano, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010