Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique

Différences entre les versions de « HealthTech Advanced Medical Image Processing: Modalities and Medical Insight »

De Équipe IMAGeS : Images, Modélisation, Apprentissage, Géométrie et Statistique
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(Page créée avec « == Objectives == This course aims to introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, el... »)
 
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== Objectives ==
 
== Objectives ==
  
This course aims to introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, elastography) and applications (clinical routine, preclinical imaging).
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This course aims to introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, elastography) and applications (clinical routine, preclinical imaging).
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Acquired skills
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After this lecture, the student will have learned how to analyze and implement methods for solving some advanced problems in medical image processing.
  
 
== Lectures ==
 
== Lectures ==

Version du 13 octobre 2022 à 07:02

Objectives

This course aims to introduce advanced processing issues specific to certain medical image imaging modalities (MRI, diffusion MRI, functional MRI, elastography) and applications (clinical routine, preclinical imaging). Acquired skills

After this lecture, the student will have learned how to analyze and implement methods for solving some advanced problems in medical image processing.

Lectures

  • Diffusion MRI (Vincent Noblet)
  • Elastography (Jonathan Vappou)
  • fMRI (Céline Meillier)
  • Preclinical imaging (Chrystelle Po)
  • Insights from the radiologist (Mickaël Ohana)
  • Insights from the radiotherapist (Philippe Meyer)