next_AIM workshop on XAI techniques for medical data analysis

Session

Session 1 - Scientific contributions by next_AIM affiliates

16 Oct 2024, 17:00

Bari - da giovedi: Aula Multimediale Dipartimento di Fisica.

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