39 citations · 40 across the 3 of their papers we have counts for
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eess.IV2022★ 1 cited
Global Multi-modal 2D/3D Registration via Local Descriptors Learning
Viktoria Markova, Matteo Ronchetti, Wolfgang Wein +2
Multi-modal registration is a required step for many image-guided procedures, especially ultrasound-guided interventions that require anatomical context. While a number of such reg…
eess.IV2020
Generative Tomography Reconstruction
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. Compared to existing approach…
eess.IV2020★ 39 cited
TorchRadon: Fast Differentiable Routines for Computed Tomography
Matteo Ronchetti
This work presents TorchRadon -- an open source CUDA library which contains a set of differentiable routines for solving computed tomography (CT) reconstruction problems. The libra…