General Meeting next_AIM

Name: General Meeting next_AIM
Start: 2023-02-13T13:30:00+01:00
End: 2023-02-15T17:25:00+01:00
Location: Fondazione UNIMI, V.le Ortles 22/4, 20139 Milano

13–15 Feb 2023

Fondazione UNIMI, V.le Ortles 22/4, 20139 Milano

Europe/Rome timezone

Contribution List

17. Project overview

Alessandra Retico (Istituto Nazionale di Fisica Nucleare)

13/02/2023, 14:00

1. Synthetic images generation from small datasets

Daniel Remondini (Istituto Nazionale di Fisica Nucleare), Lorenzo Di Meco

13/02/2023, 14:30

WP1 - Methodological approaches to handle limited datasets

2. Low-dimensional signatures from high-dimensional data: the DNetPRO algorithm

Nico Curti

13/02/2023, 14:50

WP1 - Methodological approaches to handle limited datasets

3. How to deal the small data issue in artificial intelligence within medical image classification: a systematic review

Leonardo Ubaldi (Istituto Nazionale di Fisica Nucleare)

13/02/2023, 15:10

WP1 - Methodological approaches to handle limited datasets

4. A bootstrap method to model small datasets with survival outcome

Elena Ballante

13/02/2023, 15:30

WP1 - Methodological approaches to handle limited datasets

5. Established XAI techniques

Alessandro Fania

13/02/2023, 16:30

WP2 - Explainable techniques for biomedical data

6. A holistic and analytical approach to assess Trustworthy AI: Z-inspection® project

Francesca Lizzi (Istituto Nazionale di Fisica Nucleare)

13/02/2023, 17:00

WP2 - Explainable techniques for biomedical data

7. Effectiveness of biological inspired neural network models in learning and patterns memorization

Nico Curti

13/02/2023, 17:30

WP2 - Explainable techniques for biomedical data

8. A python framework for classification of DBT slices through Deep Learning (WP3.T1)

Gianfranco Paternò (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 08:50

WP3 - Applications to real data

9. An explainable unified approach for mass detection and classification in DBT (WP3.T1)

Andrea Berti

14/02/2023, 09:15

WP3 - Applications to real data

10. Use of GradCAM map for mass localization in DBT (WP3.T1)

Roberta Ricciardi (Università degli studi di Napoli “Federico II”)

14/02/2023, 09:40

WP3 - Applications to real data

11. Super-resolution for DBT imaging (WP3.T2)

Giovanni Mettivier (Istituto Nazionale di Fisica Nucleare), Nico Curti

14/02/2023, 10:05

WP3 - Applications to real data

12. Radiomics in prostate cancer (WP3.T3)

Maurizio Marrale (University of Palermo)

14/02/2023, 11:00

WP3 - Applications to real data

13. Deep learning models for targeting of tc-MRgFUS for essential tremor (WP3.T4)

M Romeo

14/02/2023, 11:25

WP3 - Applications to real data

14. Multi-algorithm approach for real-life clinical applications (WP3.T5)

Francesco Sensi

14/02/2023, 11:50

WP3 - Applications to real data

15. Nuclear Medicine Neuroimaging Quantification (WP3.T5)

Enrico Peira (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 12:15

WP3 - Applications to real data

23. High pathological grade prediction in prostate cancer patients undergoing 18F-PSMA PET/CT using matRadiomics (WP3.T5)

Giovanni Pasini

14/02/2023, 14:00

WP3 - Applications to real data

24. Correct approach to multicentric data harmonization (WP3.T6)

Piernicola Oliva (University of Sassari and INFN Cagliari)

14/02/2023, 14:25

WP3 - Applications to real data

25. Brain Connectivity with rs-EEG (WP3.T6)

F Cuna

14/02/2023, 14:50

WP3 - Applications to real data

26. ML applications for MRI, ECG, and Plethysmography (WP3.T6 + WP3.T11 + WP3.T12)

Alberto Zucchetta (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 15:15

WP3 - Applications to real data

27. Track detection on CR39 for 10B cell uptake measurements (WP3.T9)

Ian Postuma (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 15:40

WP3 - Applications to real data

18. COVID-19 severity prediction based on radiomics features obtained by exploiting the LungQuant segmentation output (WP3.T7)

Camilla Scapicchio (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 16:30

WP3 - Applications to real data

19. Radiomics and ML for biomarker prediction in Facioscapulohumeral dystrophy (WP3.T8)

Leonardo Barzaghi

14/02/2023, 16:55

WP3 - Applications to real data

20. Radiomics and ML-segmentation on lung tumor, the Blue Sky project (WP3.T8)

Francesca Brero (Istituto Nazionale di Fisica Nucleare), Ian Postuma (Istituto Nazionale di Fisica Nucleare), Raffaella Cabini (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 17:20

WP3 - Applications to real data

21. A software for extracting quantitative metrics and radiomic features in CT images of the lung: development of a practical tool and clinical applications (WP3.T8)

Luca Berta

14/02/2023, 17:45

WP3 - Applications to real data

22. Soft tissue sarcoma: transfer learning and fine-tuning for prediction of distant metastasis based on multimodal imaging (WP3.T10)

Stefano Piffer (Istituto Nazionale di Fisica Nucleare)

14/02/2023, 18:10

WP3 - Applications to real data

28. The DOlab_research environment

Paolo Bosco (INFN - Pisa)