Difference between revisions of "Main Page"
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<div style="position: relative; overflow: hidden; height: 500px;"><!-- RECOMMENDED THIS HEIGHT IS THE SAME AS THE HEIGHT SET FOR THE IMAGES --> | <div style="position: relative; overflow: hidden; height: 500px;"><!-- RECOMMENDED THIS HEIGHT IS THE SAME AS THE HEIGHT SET FOR THE IMAGES --> | ||
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}} | {{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}} | ||
− | The three scientific themes of the team highlight its interdisciplinarity, and allow reflecting the variety of disciplines that interact within the team. | + | The three scientific themes of the team highlight its interdisciplinarity, and allow reflecting the variety of disciplines that interact within the team. It emphasizes research recognized at the best international level, in particular in medical robotics and data science for health: |
* '''Medical Robotics and Interventional Imaging''' gathers the historical activities of the team in the field of robotic assistance to minimally invasive medical and surgical procedures, and, beyond, around methodological and clinical developments in interventional radiology. | * '''Medical Robotics and Interventional Imaging''' gathers the historical activities of the team in the field of robotic assistance to minimally invasive medical and surgical procedures, and, beyond, around methodological and clinical developments in interventional radiology. | ||
* '''Learning, modeling and data science''' gathers the activities of the team around artificial intelligence (AI), biomechanical simulation and measurement and evaluation methods, pursued both independently and in synergy, as simulation can be used to generate data for learning. | * '''Learning, modeling and data science''' gathers the activities of the team around artificial intelligence (AI), biomechanical simulation and measurement and evaluation methods, pursued both independently and in synergy, as simulation can be used to generate data for learning. |