Sebastiano Ferraris

According to our database, Sebastiano Ferraris authored at least 7 papers between 2016 and 2022.

Collaborative distances:

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

2022

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.

Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren, Juan Eugenio Iglesias

Medical Image Anal., 2022

2018

A magnetic resonance multi-atlas for the neonatal rabbit brain.

Sebastiano Ferraris, Johannes L. van der Merwe, Lennart Van Der Veeken, Ferran Prados, Juan Eugenio Iglesias, Andrew Melbourne, Marco Lorenzi, Marc Modat, Willy Gsell, Jan Deprest, Tom Vercauteren

NeuroImage, 2018

Model-Based Refinement of Nonlinear Registrations in 3D Histology Reconstruction.

Juan Eugenio Iglesias, Marco Lorenzi, Sebastiano Ferraris, Loïc Peter, Marc Modat, Allison Stevens, Bruce Fischl, Tom Vercauteren

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Forward-backward splitting in deformable image registration: A demons approach.

Michael Ebner, Marc Modat, Sebastiano Ferraris, Sébastien Ourselin, Tom Vercauteren

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Bruker2nifti: Magnetic Resonance Images converter from Bruker ParaVision to Nifti format.

Sebastiano Ferraris, Dzhoshkun Ismail Shakir, Johannes L. van der Merwe, Willy Gsell, Jan Deprest, Tom Vercauteren

J. Open Source Softw., 2017

Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study.

Juan Eugenio Iglesias, Sebastiano Ferraris, Marc Modat, Willy Gsell, Jan Deprest, Johannes L. van der Merwe, Tom Vercauteren

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016

Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration.

Sebastiano Ferraris, Marco Lorenzi, Pankaj Daga, Marc Modat, Tom Vercauteren

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016