Wednesday, July 5


  • 2 lectures on radiomics and artificial intelligence (AI)
  • 2 dedicated practical sessions dedicated to AI
  • 1 spot on nuclear medicine
  • Gala dinner in Nantes city center

Lecture #1

  • Introduction to Artificial Intelligence (AI)
    Diana Mateus, LS2N
    Professor at Centrale Nantes, recipient in 2016 of the “Laura Bassi” award, from the Technische Universität of Munich, for her outstanding scientific achievements in the field medical image analysis, and currently PI of the Connect Talent MILCOM Chaire on “Multimodal Imaging and Learning for Computational-based Medicine” financed by European Feder funds for Pays-de-la-Loire and Nantes Metropole.

Lecture #2

  • Radiomics: fundamentals, challenges and prospects
    Mathieu Hatt
    Inserm director of research at the laboratory of medical information processing (LaTIM) Inserm UMR 1101, team ACTION (Image-guided therapeutic action in oncology), in charge of the radiomics group, recipient of the 2014 IEEE NMISC “Bruce H. Hasegawa Young Investigator Medical Imaging Science Award”

Extraction of information from medical images to design clinical diagnostic or decision-aid systems has been around for decades. However, the use of machine and deep learning techniques to adress specific issues in that field and for nuclear medicine imaging has been exponentially increasing for the past 10 years.

This talk will carry you through the history of what is called today radiomics, from the early beginnings (before it was called radiomics) to the most recent developments using deep neural networks, with fully automated detection and delineation of organs and lesions, harmonization of multi-centric images and predictive multiparametric modeling of relevant clinical endpoints. A specific focus will be on the standardization of the radiomics process, the official guidelines and the remaining issues and challenges left to tackle in order to facilitate the clinical translation of radiomics into nuclear medicine.

Practical sessions

Image processing and deep learning
With Diana Mateus (LS2N), Oriane Thiéry (LS2N) & Alexandre Merasli (Centrale Nantes / Nantes University Hospital)