From Physics to Medicine: XAI workshop

Contribution List

1. Welcome to the workshop

Prof. Chiara Paganelli (Politecnico Milano), Pietro Govoni (Universita & INFN, Milano-Bicocca (IT)), Simone Gennai (Universita & INFN, Milano-Bicocca (IT))

20/11/2023, 14:30

Introduction and keynotes

3. Example of Adaptation domain in High Energy Physics

Benedetta Camaiani (Universita e INFN, Firenze (IT))

20/11/2023, 14:40

Introduction and keynotes

2. Current trends in AI : what's the next big thing we should looking for?

Prof. Paolo Napoletano

20/11/2023, 15:10

Introduction and keynotes

18. The MUCCA project

Cecilia Voena (Sapienza Universita e INFN, Roma I (IT))

20/11/2023, 16:00

Introduction and keynotes

14. AI in radiation Oncology: from development to clinical implementation

Stine Korreman

20/11/2023, 16:30

Introduction and keynotes

15. A novel explainable approach in radiomics pipeline for local recurrence prediction of lung cancer: a feasibility study exploiting high energy physics potential to evaluate the model

Mariagrazia Monteleone

20/11/2023, 17:00

Introduction and keynotes

8. Most wanted models in HEP: what is working and what may work in the near future

Alessandro Rossi (INFN Perugia), Alessandro Rossi (Universita e INFN, Perugia (IT))

21/11/2023, 09:30

AI Application in Physics and Medicine

23. A mathematical model for the enhancement of digital images and applications in the biomedical field

Prof. Gianluca Vinti (Università degli Studi di Perugia)

21/11/2023, 10:00

AI Application in Physics and Medicine

9. Treatment of systematic uncertainties with Bayesian networks

Andrea Messina (Sapienza Universita e INFN, Roma I (IT))

21/11/2023, 10:30

AI Application in Physics and Medicine

11. Gaussian Mixture Models for probabilistic learning

Luca Scrucca

21/11/2023, 11:30

AI Application in Physics and Medicine

10. Anomaly detection with Autoencoders for Data Quality Monitoring in HEP

Alkis Papanastassiou (Universita e INFN, Firenze (IT))

21/11/2023, 12:00

AI Application in Physics and Medicine

13. Deep Learning and XAI in medical imaging

Francesca Lizzi

21/11/2023, 14:30

AI Application in Physics and Medicine

17. AI-based compensation of motion deterioration effects in MR imaging

Marco Riboldi

21/11/2023, 15:00

AI Application in Physics and Medicine

16. Validation of a deep learning approach for abdominal synthetic CT generation using computational phantoms

Francesca Camagni

21/11/2023, 15:30

AI Application in Physics and Medicine

12. Monotone models and their usage (LHCb example)

J Michael Williams (Massachusetts Inst. of Technology (US))

21/11/2023, 16:30

AI Application in Physics and Medicine

22. Uncertainty aware ML models

Dr Gaia Grosso (IAIFI, MIT)

21/11/2023, 17:00

AI Application in Physics and Medicine

24. Ion imaging in ion beam therapy: from model-based to data-driven approaches

Chiara Gianoli

22/11/2023, 09:30

XAI usage in HEP and medicine

19. usecase of Bayesian networks in imaging registration

Andreas Smolders (PSI)

22/11/2023, 10:00

XAI usage in HEP and medicine

4. Bayesian ML models and their usage to add uncertainty to the outcome

Dr Emanuele Moscato

22/11/2023, 11:00

XAI usage in HEP and medicine

20. Ante-hoc explainability and the ProtoPNet architecture

Andrea Berti

22/11/2023, 11:30

XAI usage in HEP and medicine

21. Anomaly detection in HEP

Florian Eble (ETH Zurich (CH))

22/11/2023, 12:00

XAI usage in HEP and medicine

6. AI Applications in HEP and Medicine

Most important applications of AI to HEP and Medicine. A status of the art review and what to look for in the near future. Which Models we should keep under the radar?

5. Wrap-up

XAI usage in HEP and medicine

7. XAI for HEP and more robust ML models