39 citations · 41 across the 7 of their papers we have counts for
7 papers
DualTrack: Sensorless 3D Ultrasound needs Local and Global Context
Paul F. R. Wilson, Matteo Ronchetti, Rüdiger Göbl +5
Three-dimensional ultrasound (US) offers many clinical advantages over conventional 2D imaging, yet its widespread adoption is limited by the cost and complexity of traditional 3D…
DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration
Matteo Ronchetti, Wolfgang Wein, Nassir Navab +2
Multimodal image registration is a challenging but essential step for numerous image-guided procedures. Most registration algorithms rely on the computation of complex, frequently…
PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
Matteo Ronchetti, Julia Rackerseder, Maria Tirindelli +4
We propose a novel method to automatically calibrate tracked ultrasound probes. To this end we design a custom phantom consisting of nine cones with different heights. The tips are…
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…
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…
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…