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next_AIM workshop on XAI techniques for medical data analysis

16–18 Oct 2024
Bari - da giovedi: Aula Multimediale Dipartimento di Fisica.
Europe/Rome timezone

Contribution List

27 / 27
1. Welcome
16/10/2024, 14:30
2. Status of the Next_AIM project
Alessandra Retico (INFN-Pisa)
16/10/2024, 14:45
3. State of art of XAI in Medical Imaging
Sara Colantonio (ISTI-CNR)
16/10/2024, 15:10
4. Legal expert's point of view
Gaia Gozzi (Pentaqo), Alessandro Paoletti (Pentaqo)
16/10/2024, 15:50
12. An explainable-by-design end-to-end AI framework based on prototypical part learning for mass detection and classification in DBT images
Andrea Berti (ISTI-CNR, Univ. of Pisa and INFN)
16/10/2024, 17:00
14. Modality-independent explainable anomaly detection tool for neuroimaging
Francesco Sensi (INFN-Genoa)
16/10/2024, 17:25
13. Explainability for machine learning models and applications in clinical practice
Nicola Lambri (Univ. of Milan and INFN)
16/10/2024, 17:50
15. Improved interpretability with DnetPRO classifier applied to radiomics data
Nico Curti (Univ. of Bologna and INFN)
16/10/2024, 18:15
16. Explainability in COVID-19 pneumonia: Finding consistent features in a multicenter radiomic study and explaining the prediction of a multi-input deep model
Camilla Scapicchio (INFN-Pisa)
17/10/2024, 09:15
17. Exploring the Challenges of Radiomics Signatures: A case study
Alessandro Stefano (IBFM-CNR and INFN-LNS)
17/10/2024, 09:40
18. Application of PyRadiomics and TabNet for medical image analysis
Antonio Zarrillo (Uni. of Naples and INFN)
17/10/2024, 10:05
19. Study of the robustness of radiomic features and of its potential impact on AI-based CAD systems
Maria Irene Tenerani (Univ. of Pisa and INFN)
17/10/2024, 10:30
20. Combining Radiomics and Diffusion-MR to Unveil the Ageing Brain
Agnese Robustelli Test (Univ. of Pavia and INFN)
17/10/2024, 11:15
21. Explainable Artificial Intelligence for sarcoma patients
Leonardo Ubaldi (Univ. of Florence and INFN)
17/10/2024, 11:40
22. Explainable models for heterogeneous data (self-reported questionnaires) for Multiple Sclerosis
Federica Di Antonio (INFN-Genoa)
17/10/2024, 12:05
23. Unraveling the network signatures of oncogenicity in virus-human protein-protein interactions
Francesco Zambelli (Istituto Nazionale di Fisica Nucleare)
17/10/2024, 12:30
28. Multimodal Lung Cancer and Metastasis Classification Using CT and PET: An Explainable AI Approach
Lorenzo de Trizio
17/10/2024, 14:30
25. Diffusion correction in Fricke hydrogel dosimeters through physics-informed neural network models
Mattia Romeo (Univ. of Palermo and INFN-Catania)
17/10/2024, 14:55
26. Fast accelerating approaches for Deep Learning in quantitative imaging
Mattia Ricchi (Univ. of Pisa and INFN-Bologna)
17/10/2024, 15:20
27. Interpreting the output of dose maps predicted by a Unet with the gamma index analysis
Lorenzo Marini (Univ. of Florence, Univ. of Pisa and INFN)
17/10/2024, 15:45
5. Round Table - What’s new in XAI: can we go beyond the qualitative explaination?
Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)
17/10/2024, 16:45
9. Status of computing resource usage and SW repository 2024
Francesca Lizzi (INFN-Pisa), Ian Postuma (INFN-Pavia)
18/10/2024, 09:00
10. Discussion of tasks to be concluded by the end of 2024
Alessandra Retico (INFN-Pisa)
18/10/2024, 09:45
8. Working group on data platforms
Camilla Scapicchio (INFN-Pisa), Piernicola Oliva (Univ. Sassari & INFN-Cagliari), Sabina Tangaro (Univ. of Bari and INFN)
18/10/2024, 11:00
6. Working group on next_AIM SW repository
Francesca Lizzi (INFN-Pisa), Ian Postuma (INFN-Pavia)
18/10/2024, 11:00
7. Working group on task completion
Alessandro Lascialfari (Univ. of Pavia and INFN), Maurizio Marrale (Univ. of Palermo and INFN), Piernicola Oliva (Univ. of Sassari and INFN-Cagliari)
18/10/2024, 11:00
11. Wrap-up and conclusions
Alessandra Retico (INFN-Pisa)
18/10/2024, 12:30

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