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Sébastien Valette

Full-time Researcher (HDR)

CREATIS

CNRS

Biography

I am a permanent CNRS researcher at CREATIS since 2005. I defended my Accreditation To Supervise Research (HDR) in 2019.

Since September 2019, I am an elected member of the CoNRS (section 7).

My research activities include data compression, geometry processing (mostly mesh generation), and medical image processing (segmentation and registration). I have published in several top rank journals (IEEE TVCG, IEEE TIP, IEEE TMI) and my works have been presented at several selective international conferences (Eurographics, SGP, SMI). I am also a contributor to open science, providing the source code for several of my papers on github (ACVD, DESK, FROG, Wavemesh).

Interests

  • Geometry Processing
  • Image processing
  • Data compression
  • Medical image analysis

Education

  • Habilitation à Diriger de Recherches, 2019

    INSA-Lyon

  • PhD in Image and Geometry Processing, 2002

    INSA-Lyon

  • Electrical Engineering, 1998

    INSA-Lyon

Skills

Digital Geometry Processing

My main contributions to this field are related to mesh generation

Medical Image Processing

There is a huge quantity of medical images in hospitals. I develop methods to efficiently analyse large 3D image sets, while preserving patient anonymity

Data Compression

I have contributed to data compression, especially for 3D triangular meshes

HTML5 Web Applications

Web technologies (especially Javascript) allow to efficiently develop applications for both the Internet and the desktop

Projects /
Software

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TOPACS

Towards Open processing of PACS data.

FROG

Fast Registration Of image Groups.

ACVD

Robust remeshing via Approximate Centroidal Voronoi Diagrams.

DESK

DESK Exposing Server Kit, a framework for web-based medical image display and processing.

EduAnat2

3D medical image viewer for education

Wavemesh

Multiresolution analysis of 3D triangular meshes and application to compression

Recent Publications
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Hubless keypoint-based 3D deformable groupwise registration

We present a novel algorithm for Fast Registration Of image Groups (FROG), applied to large 3D image groups. Our approach extracts 3D …

HDR : De l'image médicale au signal géométrique: analyse, construction et compression

Ce mémoire se découpe en 4 parties. La première partie chapitre aborde la compression de données 3D, et particulièrement la …

The prospects for application of computational anatomy in forensic anthropology for sex determination

The purpose of this study is to assess the relevance of computational anatomy for the sex determination in forensic anthropology. A …

Automatic Multiorgan Segmentation via Multiscale Registration and Graph Cut

We propose an automatic multiorgan segmentation method for 3D radiological images of different anatomical content and modality. The …

Thermal behavior of Pd@SiO 2 nanostructures in various gas environments: a combined 3D and in situ TEM approach

The thermal stability of core-shell Pd@SiO2 nanostructures was for the first time directly monitored in the real space by using the …

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