Name: From Physics to Medicine: XAI workshop
Start: 2023-11-20T14:30:00+01:00
End: 2023-11-22T13:30:00+01:00
Location: Università degli studi di Milano Bicocca

From Physics to Medicine: XAI workshop

from Monday 20 November 2023 (14:30) to Wednesday 22 November 2023 (13:30)

Monday 20 November 2023
14:30
14:30 - 18:00
Room: U6-02
Contributions

14:30 Welcome to the workshop - Chiara Paganelli (Politecnico Milano) Pietro Govoni (Universita & INFN, Milano-Bicocca (IT)) Simone Gennai (Universita & INFN, Milano-Bicocca (IT))

14:40 Example of Adaptation domain in High Energy Physics - Benedetta Camaiani (Universita e INFN, Firenze (IT))

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

16:00 The MUCCA project - Cecilia Voena (Sapienza Universita e INFN, Roma I (IT))

16:30 AI in radiation Oncology: from development to clinical implementation - Stine Korreman

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 - Mariagrazia Monteleone
Tuesday 21 November 2023
09:30
09:30 - 13:00
Room: U3-03
Contributions

09:30 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))

10:00 A mathematical model for the enhancement of digital images and applications in the biomedical field - Gianluca Vinti (Università degli Studi di Perugia)

10:30 Treatment of systematic uncertainties with Bayesian networks - Andrea Messina (Sapienza Universita e INFN, Roma I (IT))

11:30 Gaussian Mixture Models for probabilistic learning - Luca Scrucca

12:00 Anomaly detection with Autoencoders for Data Quality Monitoring in HEP - Alkis Papanastassiou (Universita e INFN, Firenze (IT))
14:30
14:30 - 20:00
Room: U6-02
Contributions

14:30 Deep Learning and XAI in medical imaging - Francesca Lizzi

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

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

16:30 Monotone models and their usage (LHCb example) - J Michael Williams (Massachusetts Inst. of Technology (US))

17:00 Uncertainty aware ML models - Gaia Grosso (IAIFI, MIT)
Wednesday 22 November 2023
09:30
09:30 - 13:30
Room: U6-02
Contributions

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

10:00 usecase of Bayesian networks in imaging registration - Andreas Smolders (PSI)

11:00 Bayesian ML models and their usage to add uncertainty to the outcome - Emanuele Moscato

11:30 Ante-hoc explainability and the ProtoPNet architecture - Andrea Berti

12:00 Anomaly detection in HEP - Florian Eble (ETH Zurich (CH))

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