Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Super-resolution, multiscale data fusion and complex dynamics in Earth Observation and Universe Sciences
- Characterization of underlying stochastic dynamic of the cardiac muscle under fibrillation: singularity analysis and modeling
- Classification of Cardiac Arrhythmia in vitro based on Multivariate Complexity Analysis
- Classification of Cardiac Arrhythmia in vitro based on Multivariate Complexity Analysis
- Nonlinear trend removal should be carefully performed in heart rate variability analysis
- Quantification of Heart's Recover by Multiscale Complexity Analysis of Heart Rate: a Validation Study
- Quantification and Its Approximate Solution of Action Potential in Neuron Models by Anharmonicity Analysis
- Image Reconstruction from Highly Corrupted Gradients
- Fast Image Edge-Aware Processing
- Low-Rankness Transfer for Realistic Denoising
- Turbulent Flow Estimation
- Pathological voice classification
- Emotion detection: project with Batvoice start-up
- Heartbeat signal analysis: Proof of Concept with IHU LIRYC
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
Overall Objectives
Research Program
Application Domains
New Software and Platforms
New Results
- Super-resolution, multiscale data fusion and complex dynamics in Earth Observation and Universe Sciences
- Characterization of underlying stochastic dynamic of the cardiac muscle under fibrillation: singularity analysis and modeling
- Classification of Cardiac Arrhythmia in vitro based on Multivariate Complexity Analysis
- Classification of Cardiac Arrhythmia in vitro based on Multivariate Complexity Analysis
- Nonlinear trend removal should be carefully performed in heart rate variability analysis
- Quantification of Heart's Recover by Multiscale Complexity Analysis of Heart Rate: a Validation Study
- Quantification and Its Approximate Solution of Action Potential in Neuron Models by Anharmonicity Analysis
- Image Reconstruction from Highly Corrupted Gradients
- Fast Image Edge-Aware Processing
- Low-Rankness Transfer for Realistic Denoising
- Turbulent Flow Estimation
- Pathological voice classification
- Emotion detection: project with Batvoice start-up
- Heartbeat signal analysis: Proof of Concept with IHU LIRYC
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Bibliography
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