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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

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  1. 1. Welcome
    16/10/2024, 14:30
  2. 2. Status of the Next_AIM project
    Alessandra Retico (INFN-Pisa)
    16/10/2024, 14:45
  3. 3. State of art of XAI in Medical Imaging
    Sara Colantonio (ISTI-CNR)
    16/10/2024, 15:10
  4. 4. Legal expert's point of view
    Gaia Gozzi (Pentaqo), Alessandro Paoletti (Pentaqo)
    16/10/2024, 15:50
  5. 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
  6. 14. Modality-independent explainable anomaly detection tool for neuroimaging
    Francesco Sensi (INFN-Genoa)
    16/10/2024, 17:25
  7. 13. Explainability for machine learning models and applications in clinical practice
    Nicola Lambri (Univ. of Milan and INFN)
    16/10/2024, 17:50
  8. 15. Improved interpretability with DnetPRO classifier applied to radiomics data
    Nico Curti (Univ. of Bologna and INFN)
    16/10/2024, 18:15
  9. 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
  10. 17. Exploring the Challenges of Radiomics Signatures: A case study
    Alessandro Stefano (IBFM-CNR and INFN-LNS)
    17/10/2024, 09:40
  11. 18. Application of PyRadiomics and TabNet for medical image analysis
    Antonio Zarrillo (Uni. of Naples and INFN)
    17/10/2024, 10:05
  12. 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
  13. 20. Combining Radiomics and Diffusion-MR to Unveil the Ageing Brain
    Agnese Robustelli Test (Univ. of Pavia and INFN)
    17/10/2024, 11:15
  14. 21. Explainable Artificial Intelligence for sarcoma patients
    Leonardo Ubaldi (Univ. of Florence and INFN)
    17/10/2024, 11:40
  15. 22. Explainable models for heterogeneous data (self-reported questionnaires) for Multiple Sclerosis
    Federica Di Antonio (INFN-Genoa)
    17/10/2024, 12:05
  16. 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
  17. 28. Multimodal Lung Cancer and Metastasis Classification Using CT and PET: An Explainable AI Approach
    Lorenzo de Trizio
    17/10/2024, 14:30
  18. 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
  19. 26. Fast accelerating approaches for Deep Learning in quantitative imaging
    Mattia Ricchi (Univ. of Pisa and INFN-Bologna)
    17/10/2024, 15:20
  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
  21. 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
  22. 9. Status of computing resource usage and SW repository 2024
    Francesca Lizzi (INFN-Pisa), Ian Postuma (INFN-Pavia)
    18/10/2024, 09:00
  23. 10. Discussion of tasks to be concluded by the end of 2024
    Alessandra Retico (INFN-Pisa)
    18/10/2024, 09:45
  24. 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
  25. 6. Working group on next_AIM SW repository
    Francesca Lizzi (INFN-Pisa), Ian Postuma (INFN-Pavia)
    18/10/2024, 11:00
  26. 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
  27. 11. Wrap-up and conclusions
    Alessandra Retico (INFN-Pisa)
    18/10/2024, 12:30

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