From Physics to Medicine: XAI workshop

20 Nov 2023, 14:30 → 22 Nov 2023, 13:30 Europe/Zurich

Università degli studi di Milano Bicocca

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

Bulletin_ From Physics to Medicine_ XAI workshop.pdf

Monday 20 November ¶

14:30 → 18:00 Introduction and keynotes¶

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

Conveners: Emanuele Moscato, Francesca Camagni

14:30 Welcome to the workshop¶

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

WorkshopXAI_EXPANSION.pdf

WorkshopXAI_EXPANSION.pptx

14:40 Example of Adaptation domain in High Energy Physics¶

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

Model_Independent_measurements_XAIWorkshop_BCamaiani_pdf.pdf

15:10 Current trends in AI : what's the next big thing we should looking for?¶

Speaker: Prof. Paolo Napoletano

Current_trends_in_AI_ppt.pdf

15:40 Coffee break

16:00 The MUCCA project¶

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

MUCCA-Voena-Milano.pdf

16:30 AI in radiation Oncology: from development to clinical implementation¶

Speaker: Stine Korreman

XAI radonc 20112023 korreman.pdf

17:00 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¶

Speaker: Mariagrazia Monteleone

XAI_Workshop_Monteleone.pdf

Tuesday 21 November ¶

09:30 → 13:00 AI Application in Physics and Medicine¶

Conveners: Francesca Camagni, Mariagrazia Monteleone

09:30 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))

XAIWorkshop_Ale.pdf

10:00 A mathematical model for the enhancement of digital images and applications in the biomedical field¶

Speaker: Prof. Gianluca Vinti (Università degli Studi di Perugia)

Talk Milano_Vinti.pdf

10:30 Treatment of systematic uncertainties with Bayesian networks¶

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

BN-systematics.pdf

11:00 Coffee Break

11:30 Gaussian Mixture Models for probabilistic learning¶

Speaker: Luca Scrucca

Scrucca_slides.pdf

12:00 Anomaly detection with Autoencoders for Data Quality Monitoring in HEP¶

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

XAI_workshop_Papanastassiou.pdf

14:30 → 20:00 AI Application in Physics and Medicine¶

Conveners: Emanuele Moscato, Mariagrazia Monteleone

14:30 Deep Learning and XAI in medical imaging¶

Speaker: Francesca Lizzi

15:00 AI-based compensation of motion deterioration effects in MR imaging¶

Speaker: Marco Riboldi

Presentation-Riboldi-2023.pdf

15:30 Validation of a deep learning approach for abdominal synthetic CT generation using computational phantoms¶

Speaker: Francesca Camagni

Workshop_XAI_Camagni.pdf

16:00 Coffee break

16:30 Monotone models and their usage (LHCb example)¶

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

Williams-XAI.pdf

17:00 Uncertainty aware ML models¶

Speaker: Dr Gaia Grosso (IAIFI, MIT)

XAI-Milan-2023

Wednesday 22 November ¶

09:30 → 13:30 XAI usage in HEP and medicine¶

Conveners: Francesca Camagni, Mariagrazia Monteleone

09:30 Ion imaging in ion beam therapy: from model-based to data-driven approaches¶

Speaker: Chiara Gianoli

XAI_ion_imaging.pdf

10:00 usecase of Bayesian networks in imaging registration¶

Speaker: Andreas Smolders (PSI)

20231122_XIAInPhyiscsAndMedicne.pdf

20231122_XIAInPhyiscsAndMedicne.pptx

10:30 Coffee break

11:00 Bayesian ML models and their usage to add uncertainty to the outcome¶

Speaker: Dr Emanuele Moscato

Bayesian ML talk Moscato.pdf

11:30 Ante-hoc explainability and the ProtoPNet architecture¶

Speaker: Andrea Berti

presentazione_bicoccaXAI_Berti.pdf

12:00 Anomaly detection in HEP¶

Speaker: Florian Eble (ETH Zurich (CH))

Anomaly_detection_in_HEP_XAI.pdf