5 citations · 10 across the 5 of their papers we have counts for
5 papers
Material Decomposition in Photon-Counting Computed Tomography with Diffusion Models: Comparative Study and Hybridization with Variational Regularizers
Corentin Vazia, Thore Dassow, Alexandre Bousse +6
Photon-counting computed tomography (PCCT) has emerged as a promising imaging technique, enabling spectral imaging and material decomposition (MD). However, images typically suffer…
Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentation
Amine Sadikine, Bogdan Badic, Jean-Pierre Tasu +3
The extraction of blood vessels has recently experienced a widespread interest in medical image analysis. Automatic vessel segmentation is highly desirable to guide clinicians in c…
Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography
Corentin Vazia, Alexandre Bousse, Béatrice Vedel +6
Using recent advances in generative artificial intelligence (AI) brought by diffusion models, this paper introduces a new synergistic method for spectral computed tomography (CT) r…
Spectral CT Two-step and One-step Material Decomposition using Diffusion Posterior Sampling
Corentin Vazia, Alexandre Bousse, Jacques Froment +6
This paper proposes a novel approach to spectral computed tomography (CT) material decomposition that uses the recent advances in generative diffusion models (DMs) for inverse prob…
Uconnect: Synergistic Spectral CT Reconstruction with U-Nets Connecting the Energy bins
Zhihan Wang, Alexandre Bousse, Franck Vermet +5
Spectral computed tomography (CT) offers the possibility to reconstruct attenuation images at different energy levels, which can be then used for material decomposition. However, t…