Annual meeting January 2020

Contribution List

1. Welcome and project summary

Alessandra Retico (PI)

03/02/2020, 09:30

2. Uncovering the causes of site signature in MRI features of multicenter data

Paolo Bosco (INFN - Pisa)

03/02/2020, 09:45

AIM 1: Data harmonization

3. An attempt to account for site effects in multicenter MRI data analysis with ML

Francesco Laruina (P)

03/02/2020, 10:00

AIM 1: Data harmonization

4. Data harmonization in mammography: the tissue equivalent representation

Piernicola Oliva (University of Sassari and INFN Cagliari)

03/02/2020, 10:15

AIM 1: Data harmonization

12. Quality, harmonization and parcellation

Nicola Alchera (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 10:30

AIM 1: Data harmonization

10. Status of the DORIAN initiative

Francesco Sensi (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 10:45

AIM 2: Quantification

11. Update on amyloid PET: quantification, classification and clinics

Enrico Peira (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 11:30

AIM 2: Quantification

13. BYRON: a Deep Learning library for advanced Machine Learning

Nico Curti

03/02/2020, 11:45

AIM 2: Quantification

14. Deep Learning implementation of MRF data reconstruction

Luca Peretti

03/02/2020, 12:00

AIM 2: Quantification

15. Advancements in QSM data analysis

Claudia Testa

03/02/2020, 12:15

AIM 2: Quantification

16. Collection of the dataset for Radiomic and Dosiomic analysis in RT

Stefano Piffer (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 12:30

AIM 3: Predictive models

17. Preliminary classification results on data from Lung RT

Maurizio Marrale (CT)

03/02/2020, 12:45

AIM 3: Predictive models

18. Challenges in ML analysis implementation on RT data

Leonardo Ubaldi (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 13:00

AIM 3: Predictive models

19. Update on predictive models for CESM data

Sabina Tangaro (BA)

03/02/2020, 13:15

AIM 3: Predictive models

20. Thalamic parcellation through probabilistic tractography for tcMRgFUS treatments. Preliminary results of fMRI analyses on TcMRgFUS patients

Daniel Remondini (Istituto Nazionale di Fisica Nucleare), Giorgio Collura (CT), Maurizio Marrale (CT)

03/02/2020, 14:15

AIM 3: Predictive models

21. CHIMERA: a network of networks in medicine

Daniel Remondini (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 14:30

AIM 3: Predictive models

22. Predictive models for tumor classification

Carlo Mengucci, Daniel Remondini (Istituto Nazionale di Fisica Nucleare), Maurizio Marrale (CT)

03/02/2020, 14:45

AIM 3: Predictive models

23. Explaining Explanation Methods: Overview and Applications

Riccardo Guidotti

03/02/2020, 15:00

Hot Topics in ML: Explainability and Interpretability of ML models

24. Explainable ML Framework for Multi-site Harmonization

Angela Lombardi (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 15:30

Hot Topics in ML: Explainability and Interpretability of ML models

25. Explainable ML in mammography

Camilla Scapicchio, Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)

03/02/2020, 15:50

Hot Topics in ML: Explainability and Interpretability of ML models

26. Discussion, General Remarks and Conclusions

Alessandra Retico (PI)

03/02/2020, 16:10

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