Master MVA 2016-2017 First Semester : Introduction to Medical Image Analysis

Hervé Delingette
Equipe Asclepios
2004, route des Lucioles B.P. 93
06902 Sophia Antipolis Cedex
04 92 38 77 64

Xavier Pennec
Equipe Asclepios
2004, route des Lucioles B.P. 93
06902 Sophia Antipolis Cedex
04 92 38 76 64

Course Objectives

The course is an introduction to medical image analysis, in particular image registration and image segmentation.
It is complemented by a course at the second semester detailing some advanced techniques in statistical and mechanical modeling for computational anatomy and physiology.

Liste of courses and slides (updated in real-time)


Articles pour le choix du projet

  • Quentin Chan Wai Nam + Clara Bonnet + Romain Girard : Efficient globally optimal segmentation of cells in fluorescence microscopy images using level sets and convex energy functionals by Bergeest and Rohr.
  • Simon Lebastard + Thomas Baz : Estimating A Reference Standard Segmentation with Spatially Varying Performance Parameters: Local MAP STAPLE by Olivier Commowick, Alireza Akhondi-Asl, Simon K. Warfield
  • Lea Naccache + Esther Ouakrat + David Sabbagh : A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
  • Mariem MEZGHANNI et Cyrine CHTOUROU : Adaptive multi-level conditional random fields for detection and segmentation of small enhanced pathology in medical images by Zahra Karimaghaloo, Douglas L. Arnold et Tal Arbel.
  • Sharone Dayan et Alexandre Attia : "A Combined Deep-Learning and Deformable-Model Approach to Fully Automatic Segmentation of the Left Ventricle in Cardiac MRI” de Avendi et al.
  • James von Albade et Paul Jehanno) : "Finite-Dimensional Lie Algebras for Fast Di?eomorphic Image Registration," écrit par Zhang et Fletcher.
  • Quentin Leroy et Bastien Ponchon : "Unsupervised domaion adaptation in brain lesion segmentation with adversarial networks"" by Kamnitsas et al.
  • Mihai Dusmanu et Anna Song : "Spectral Demons" by H. Lombaert
  • Adèle Gillier, Victor Sanh et Margot Barbet : "Spatially Varying Color Distributions for Interactive Multilabel Segmentation" by Claudia Nieuwenhuis and Daniel Cremers.
  • Mhamed Hajaiej, Alaa Eddine Mahi et Akrem Bahri : " Image Segmentation with One Shape Prior – A Template-Based Formulation" by S Chen, D Cremers, RJ Radke