From Physics to Medicine: XAI workshop

Europe/Zurich
Università degli studi di Milano Bicocca

Università degli studi di Milano Bicocca

Description

This workshop will offer a review of the state-of-the art in the field of the application to machine learning techniques to diagnostics and prognosis and in the use of artificial intelligence techniques in particle physics, to create a multi-disciplinary community able to exploit modern data analysis techniques in the medical field in an explainable way, providing a strong awareness to medical practitioners.

The workshop will provide ECM credits (13 at minimum).

The participation is free of charge.

the Local Organising Committee:

  • Francesca Camagni
  • Simone Gennai
  • Pietro Govoni
  • Mariagrazia Monteleone
  • Emanuele Moscato
  • Chiara Paganelli
Participants
    • Introduction and keynotes U6-02

      U6-02

      First day should deal with more global topics talks such as keynotes on XAI and new trends on ML

      Conveners: Emanuele Moscato, Francesca Camagni
    • AI Application in Physics and Medicine U3-03

      U3-03

      Conveners: Francesca Camagni, Mariagrazia Monteleone
      • 7
        Most wanted models in HEP: what is working and what may work in the near future
        Speakers: Alessandro Rossi (INFN Perugia), Alessandro Rossi (Universita e INFN, Perugia (IT))
      • 8
        A mathematical model for the enhancement of digital images and applications in the biomedical field
        Speaker: Prof. Gianluca Vinti (Università degli Studi di Perugia)
      • 9
        Treatment of systematic uncertainties with Bayesian networks
        Speaker: Andrea Messina (Sapienza Universita e INFN, Roma I (IT))
      • 11:00
        Coffee Break
      • 10
        Gaussian Mixture Models for probabilistic learning
        Speaker: Luca Scrucca
      • 11
        Anomaly detection with Autoencoders for Data Quality Monitoring in HEP
        Speaker: Alkis Papanastassiou (Universita e INFN, Firenze (IT))
    • AI Application in Physics and Medicine U6-02

      U6-02

      Conveners: Emanuele Moscato, Mariagrazia Monteleone
      • 12
        Deep Learning and XAI in medical imaging
        Speaker: Francesca Lizzi
      • 13
        AI-based compensation of motion deterioration effects in MR imaging
        Speaker: Marco Riboldi
      • 14
        Validation of a deep learning approach for abdominal synthetic CT generation using computational phantoms
        Speaker: Francesca Camagni
      • 16:00
        Coffee break
      • 15
        Monotone models and their usage (LHCb example)
        Speaker: J Michael Williams (Massachusetts Inst. of Technology (US))
      • 16
        Uncertainty aware ML models
        Speaker: Dr Gaia Grosso (IAIFI, MIT)