2.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- InsermFR38 papers
- Université de Bretagne OccidentaleFR29 papers
- IMT AtlantiqueFR26 papers
- Centre Hospitalier Régional Universitaire de BrestFR23 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Hôpital LariboisièreFR5 papers
- Symbiosis International UniversityIN5 papers
- Assistance Publique – Hôpitaux de ParisFR4 papers
- Institut Mines-TélécomFR4 papers
- Johns Hopkins UniversityUS3 papers
- Laboratoire de Mathématiques de Bretagne AtlantiqueFR3 papers
- University Hospital of BernCH3 papers
12 papers · 1 filter
GATE 10 Monte Carlo particle transport simulation -- Part I: development and new features
David Sarrut, Nicolas Arbor, Thomas Baudier +30
We present GATE version 10, a major evolution of the open-source Monte Carlo simulation application for medical physics, built on Geant4. This release marks a transformative evolut…
Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space
Clémentine Phung-Ngoc, Alexandre Bousse, Antoine De Paepe +6
Attenuation correction (AC) is necessary for accurate activity quantification in positron emission tomography (PET). Conventional reconstruction methods typically rely on attenuati…
Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
Hussein Harb, Didier Benoit, Axel Rannou +4
To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo simulations of X-ray imaging systems, enabling realistic beam intensity p…
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…
Dual-Input Dynamic Convolution for Positron Range Correction in PET Image Reconstruction
Youness Mellak, Alexandre Bousse, Thibaut Merlin +3
Positron range (PR) blurring degrades positron emission tomography (PET) image resolution, particularly for high-energy emitters like gallium-68 (68 Ga). We introduce Dual-Input Dy…
Evaluation of Deep Learning-based Scatter Correction on a Long-axial Field-of-view PET scanner
Baptiste Laurent, Alexandre Bousse, Thibaut Merlin +3
Objective: Long-axial field-of-view (LAFOV) positron emission tomography (PET) systems allow higher sensitivity, with an increased number of detected lines of response induced by a…
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…
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising with Neural Network Approaches
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi +4
Low-dose emission tomography (ET) plays a crucial role in medical imaging, enabling the acquisition of functional information for various biological processes while minimizing the…
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…
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar +5
Aim: In the present work, we aimed to evaluate a comprehensive radiomics framework that enabled prediction of EGFR and KRAS mutation status in NSCLC cancer patients based on PET an…
GATE : a simulation toolkit for PET and SPECT
S. Jan, G. Santin, D. Strul +50
Monte Carlo simulation is an essential tool in emission tomography that can assist in the design of new medical imaging devices, the optimization of acquisition protocols, and the…