Université d'Auvergne Clermont1 | CNRS

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Giuseppe Marchioro

Giuseppe Marchioro was an ISIT member.

Alumni

  • Team: ALCoV
  • Status: Ingénieur de recherche

ISIT supervisor

Contact

MARIA (Multiscale Approaches for Robust medical Image Analysis)

- on-going project

Partner's funding: 4400€

Partners:

  • PRIP group (Pattern Recognition and Image Processing), Austria

Description

MARIA (Multi-scale Approaches for Robust medical Image Analysis) is a joint PHC/WTZ project between ISIT and PRIP labs. In this project, we would like to study novel multi-scale approaches to solve open problems in the analysis of contrast-enhanced medical image sequences. More precisely, the goal is to detect liver tumors from DCE-MRI (Dynamic Contrast-Enhanced Magnetic Resonance Images), and to extract important physiological, geometrical and topological features from these data.

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Fakhri Torkhani

Fakhri Torkhani was an ISIT member.

Alumni

  • Team: ALCoV
  • Status: Post-doctorant

ISIT supervisor

Contact

Kévin Bianchi's PhD defence

La thèse porte sur la segmentation spatio-temporelle et interactive d'images cardiaques dynamiques. Elle s'inscrit dans le projet ANR 3DSTRAIN du programme"Technologies pour la Santé et l'Autonomie" qui a pour objectif d'estimer de façon complète, dense et sur plusieurs modalités d'imagerie 3D+t (telles que l'IRM, la TEMP et l'échocardiographie) l'indice de déformation du muscle cardiaque : le strain.

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Jules Gorny

Jules Gorny was an ISIT member.

Alumni

ISIT supervisor

Contact

Using Category-Level Templates in Shape-from-Template

Context

Type: Engineering school or master degree

  • Deadline: when it's filled
  • Funding: ERC Project Flexable
  • Salary: 508€ net / month
  • Team: ALCoV
  • ISIT supervisors:
  • Description

    An active area in the research fields of computer vision and Augmented Reality (AR) is to interpret the 3D world from camera images of videos. One of the current open challenges is how to do this when the scene is dynamic and non-rigid. There are two main approaches to this problem, both of which are being pioneered at our lab in ALCoV. This first is by assuming we have a 3D model of the objects in the scene, and the goal is to determine their nonrigid shapes using cues from the images.