|
|
|
09:30
|
AI Application in Physics and Medicine
-
Mariagrazia Monteleone
Francesca Camagni
(until 13:00)
(U3-03)
|
|
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
- Prof.
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))
|
|
11:00
|
--- Coffee Break ---
|
|
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))
|
|
|
09:30
|
XAI usage in HEP and medicine
-
Mariagrazia Monteleone
Francesca Camagni
(until 13:30)
(U6-02)
|
|
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)
|
|
10:30
|
--- Coffee break ---
|
|
11:00
|
Bayesian ML models and their usage to add uncertainty to the outcome
- Dr
Emanuele Moscato
|
|
11:30
|
Ante-hoc explainability and the ProtoPNet architecture
-
Andrea Berti
|
|
12:00
|
Anomaly detection in HEP
-
Florian Eble
(ETH Zurich (CH))
|
|
|
14:30
|
Introduction and keynotes
-
Francesca Camagni
Emanuele Moscato
(until 18:00)
(U6-02)
|
|
14:30
|
Welcome to the workshop
- Prof.
Chiara Paganelli
(Politecnico Milano)
Simone Gennai
(Universita & INFN, Milano-Bicocca (IT))
Pietro Govoni
(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?
- Prof.
Paolo Napoletano
|
|
15:40
|
--- Coffee break ---
|
|
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
|
|
|
14:30
|
AI Application in Physics and Medicine
-
Mariagrazia Monteleone
Emanuele Moscato
(until 20:00)
(U6-02)
|
|
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
|
|
16:00
|
--- Coffee break ---
|
|
16:30
|
Monotone models and their usage (LHCb example)
-
J Michael Williams
(Massachusetts Inst. of Technology (US))
|
|
17:00
|
Uncertainty aware ML models
- Dr
Gaia Grosso
(IAIFI, MIT)
|
|
|
