1 code implementation • 19 Jul 2023 • Matteo Ronchetti, Wolfgang Wein, Nassir Navab, Oliver Zettinig, Raphael Prevost
Our method is several orders of magnitude faster than local patch-based metrics and can be directly applied in clinical settings by replacing the similarity measure with the proposed one.
1 code implementation • 13 Jun 2022 • Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli, Mehrdad Salehi, Nassir Navab, Wolfgang Wein, Oliver Zettinig
We propose a novel method to automatically calibrate tracked ultrasound probes.
no code implementations • 6 May 2022 • Viktoria Markova, Matteo Ronchetti, Wolfgang Wein, Oliver Zettinig, Raphael Prevost
Multi-modal registration is a required step for many image-guided procedures, especially ultrasound-guided interventions that require anatomical context.
no code implementations • 26 Oct 2020 • Matteo Ronchetti, Davide Bacciu
We propose an end-to-end differentiable architecture for tomography reconstruction that directly maps a noisy sinogram into a denoised reconstruction.
1 code implementation • 29 Sep 2020 • Matteo Ronchetti
The library is designed to help researchers working on CT problems to combine deep learning and model-based approaches.
1 code implementation • 5 Sep 2018 • Matteo Ronchetti
In contrast the approximation produced by Nystr\"om method is a linear combination of kernel evaluations.