ASCLEPIOS Research team
Analysis and Simulation of Biomedical Images
We have three main objectives:
- Analysis of Biomedical Images with advanced geometrical, statistical, physical and functional models
- Simulation of Physiological Systems with Computational Models built from biomedical images and other signals
- Application of previous tools to Medicine and Biology to assist prevention, diagnosis and therapy.
The research is organized around 5 main axes:
- Medical Image Analysis
- Biological Image Analysis
- Computational Anatomy
- Computational Physiology
- Clinical and Biological Evaluation
International and industrial relations
- Biomedical: Guy’s & St Thomas Hospitals (London), Harvard Medical School (Boston), IRCAD (Strasbourg), IPMC (Sophia-Antipolis), Karlsruhe Univ (D), LONI (Los Angeles), MNI (Montreal), NIH (Washington), Oxford Univ.(UK), UPF (Barcelona), University Hospitals and CAL (Nice), CHU Pitié-Salpêtrière (Paris), etc.
- Dosisoft, General Electric Medical Systems, Mauna Kea Technogies, Medtronic, Microsoft Research, Philips HealthCare, QuantifiCare, Siemens Corporate Research, etc.
Research teams of the same theme :
- ARAMIS - Algorithms, models and methods for images and signals of the human brain
- ATHENA - Computational Imaging of the Central Nervous System
- BIOVISION - Biologically plausible Integrative mOdels of the Visual system : towards synergIstic Solutions for visually-Impaired people and artificial visiON
- CAMIN - Control of Artificial Movement & Intuitive Neuroprosthesis
- GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
- MATHNEURO - Mathématiques pour les Neurosciences
- MIMESIS - Computational Anatomy and Simulation for Medicine
- MNEMOSYNE - Mnemonic Synergy
- NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
- PARIETAL - Modelling brain structure, function and variability based on high-field MRI data.
- SISTM - Statistics In System biology and Translational Medicine
- VISAGES - Vision, Action and information manaGement System in health
- XPOP - statistical modelling for life sciences
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