Saïd Moussaoui
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View article: Implicit neural representations for end-to-end PET reconstruction
Implicit neural representations for end-to-end PET reconstruction Open
Implicit neural representations (INRs) have demonstrated strong capabilities in various medical imaging tasks, such as denoising, registration, and segmentation, by representing images as continuous functions, allowing complex details to b…
View article: Using Radial Basis Function in Eddy Current Nondestructive Evaluation
Using Radial Basis Function in Eddy Current Nondestructive Evaluation Open
In this paper we use radial basis function (RBF) surrogate model in order to find geometrical parameters of a defect in the context of Eddy current non-destructive evaluation (ECNDE). We applied an axisymmetric internal groove to an electr…
View article: Encouraging the Voluntary Mobilization of Mental Resources by Manipulating Task Design: Explorative Study
Encouraging the Voluntary Mobilization of Mental Resources by Manipulating Task Design: Explorative Study Open
Background Cognitive training is increasingly being considered and proposed as a solution for several pathologies, particularly those associated with aging. However, trainees need to be willing to invest enough mental effort to succeed and…
View article: Navier-Stokes-Based Regularization For 4D Flow MRI Super-Resolution
Navier-Stokes-Based Regularization For 4D Flow MRI Super-Resolution Open
International audience
View article: Functional Graph Image Representation applied to EEG-based Mental Workload Classification
Functional Graph Image Representation applied to EEG-based Mental Workload Classification Open
A lot of research has been lately dedicated to develop machine learning and statistical signal processing methods exploiting graph representations to solve inference and estimation problems. This is particularly relevant in the case of fun…
View article: How to encourage the voluntary mobilization of mental resources in a cognitive task? (Preprint)
How to encourage the voluntary mobilization of mental resources in a cognitive task? (Preprint) Open
BACKGROUND Cognitive training is increasingly being considered and proposed as a solution for a number of pathologies, particularly those associated with aging. However, to be effectively involved in cognitive training, it needs to be wil…
View article: Segmentation-Free Velocity Field Super-Resolution on 4D Flow MRI
Segmentation-Free Velocity Field Super-Resolution on 4D Flow MRI Open
Blood flow observation is of high interest in cardiovascular disease diagnosis and assessment. For this purpose, 2D Phase-Contrast MRI is widely used in the clinical routine. 4D flow MRI sequences, which dynamically image the anatomic shap…
View article: Dual cross-linked cellulose based hydrogel films
Dual cross-linked cellulose based hydrogel films Open
Stable and transparent hydrogel films made by dual-cross-linking carboxymethylcellulose (CMC) with citric acid (CA) and multivalent Al cations open up opportunities for a number of unexplored applications.
View article: Cognitive tasks and combined statistical methods to evaluate, model, and predict mental workload
Cognitive tasks and combined statistical methods to evaluate, model, and predict mental workload Open
Mental workload (MWL) is a concept that is used as a reference for assessing the mental cost of activities. In recent times, challenges related to user experience are determining the expected MWL value for a given activity and real-time ad…
View article: Monitoring mental workload by EEG during a game in Virtual Reality
Monitoring mental workload by EEG during a game in Virtual Reality Open
During an activity, knowing the mental workload (MWL) of the user allows to improve the Human-Machine Interactions (HMI). Indeed, the MWL has an impact on the individual and its interaction with the environment. Monitoring it is therefore …
View article: Characterization of Potato Tuber Tissues Using Spatialized MRI T2 Relaxometry
Characterization of Potato Tuber Tissues Using Spatialized MRI T2 Relaxometry Open
Magnetic Resonance Imaging is a powerful non-destructive tool in the study of plant tissues. For potato tubers, it greatly assists the study of tissue defects and tissue evolution during storage. This paper describes the MRI analysis of po…
View article: Digital twin of a hydraulic loop: application to fault detection and parameter estimation
Digital twin of a hydraulic loop: application to fault detection and parameter estimation Open
International audience
View article: Nested ADMM for PET Reconstruction with Two Constraints: Deep Image Prior and Non-Negativity in Projection Space
Nested ADMM for PET Reconstruction with Two Constraints: Deep Image Prior and Non-Negativity in Projection Space Open
International audience
View article: Segmentation-free Super-resolved 4D FLox MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization
Segmentation-free Super-resolved 4D FLox MRI Reconstruction Exploiting Navier-Stokes Equations and Spatial Regularization Open
International audience
View article: Tissue characterization of potato tubers using localized MRI T2 Relaxometry
Tissue characterization of potato tubers using localized MRI T2 Relaxometry Open
International audience
View article: A Decision Fusion for Source Detection Based on Multimodal Supervised Spectral Unmixing
A Decision Fusion for Source Detection Based on Multimodal Supervised Spectral Unmixing Open
International audience
View article: Publisher Correction: An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement
Publisher Correction: An LDV based method to quantify the error of PC-MRI derived Wall Shear Stress measurement Open
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
View article: Supervised mixture analysis and Source detection from multimodal measurements
Supervised mixture analysis and Source detection from multimodal measurements Open
International audience
View article: Local-mean preserving post-processing step for non-negativity enforcement in PET imaging: application to $^{90}$Y-PET
Local-mean preserving post-processing step for non-negativity enforcement in PET imaging: application to $^{90}$Y-PET Open
In a low-statistics PET imaging context, the positive bias in regions of low activity is a burning issue. To overcome this problem, algorithms without the built-in non-negativity constraint may be used. They allow negative voxels in the im…
View article: Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to <sup>90</sup>Y-PET
Local-Mean Preserving Post-Processing Step for Non-Negativity Enforcement in PET Imaging: Application to <sup>90</sup>Y-PET Open
In a low-statistics PET imaging context, the positive bias in regions of low activity is a burning issue. To overcome this problem, algorithms without the built-in non-negativity constraint may be used. They allow negative voxels in the im…
View article: Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution
Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution Open
This work introduces hyper-resolution (HyRes), a numerical approach for spatial resolution enhancement that combines hyperspectral unmixing and super-resolution image restoration (SRIR). HyRes yields a substantial increase in spatial resol…
View article: A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images
A Semi-Supervised Rank Tracking Algorithm For On-Line Unmixing Of Hyperspectral Images Open
International audience
View article: Multi-Exponential Transverse Relaxation Times Estimation From Magnetic Resonance Images Under Rician Noise and Spatial Regularization
Multi-Exponential Transverse Relaxation Times Estimation From Magnetic Resonance Images Under Rician Noise and Spatial Regularization Open
Relaxation signal inside each voxel of magnetic resonance images (MRI) is commonly fitted by a multi-exponential decay curve. The estimation of a discrete multi-component relaxation model parameters from magnitude MRI data is a challenging…
View article: Multi-Exponential Relaxation Times Maps Reconstruction and Unsupervised Classification in Magnitude Magnetic Resonance Imaging
Multi-Exponential Relaxation Times Maps Reconstruction and Unsupervised Classification in Magnitude Magnetic Resonance Imaging Open
International audience
View article: Spatially Regularized Multi-Exponential Transverse Relaxation Times Estimation from Magnitude Magnetic Resonance Images Under Rician Noise
Spatially Regularized Multi-Exponential Transverse Relaxation Times Estimation from Magnitude Magnetic Resonance Images Under Rician Noise Open
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