5 citations · 7 across the 5 of their papers we have counts for
5 papers
Synergistic PET/CT Reconstruction Using a Joint Generative Model
Noel Jeffrey Pinton, Alexandre Bousse, Zhihan Wang +5
We propose in this work a framework for synergistic positron emission tomography (PET)/computed tomography (CT) reconstruction using a joint generative model as a penalty. We use a…
CConnect: Synergistic Convolutional Regularization for Cartesian T2* Mapping
Juan Molina, Alexandre Bousse, Tabita Catalán +5
Magnetic resonance imaging (MRI) is fundamental for the assessment of many diseases, due to its excellent tissue contrast characterization. This is based on quantitative techniques…
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…