Zanzotto FM[au] - Search Results

Year	Number of Results
2016	1
2017	2
2018	1
2019	3
2020	2
2021	3
2022	1

1

Evaluating diagnostic content of AI-generated radiology reports of chest X-rays.

Babar Z, van Laarhoven T, Zanzotto FM, Marchiori E. Babar Z, et al. Among authors: zanzotto fm. Artif Intell Med. 2021 Jun;116:102075. doi: 10.1016/j.artmed.2021.102075. Epub 2021 Apr 15. Artif Intell Med. 2021. PMID: 34020752 Free article.

2

Data Augmentation Using Background Replacement for Automated Sorting of Littered Waste.

Patrizi A, Gambosi G, Zanzotto FM. Patrizi A, et al. Among authors: zanzotto fm. J Imaging. 2021 Aug 12;7(8):144. doi: 10.3390/jimaging7080144. J Imaging. 2021. PMID: 34460780 Free PMC article.

3

Artificial intelligence for cancer-associated thrombosis risk assessment.

Ferroni P, Roselli M, Zanzotto FM, Guadagni F. Ferroni P, et al. Among authors: zanzotto fm. Lancet Haematol. 2018 Sep;5(9):e391. doi: 10.1016/S2352-3026(18)30111-X. Lancet Haematol. 2018. PMID: 30172343 No abstract available.

4

Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.

Banegas-Luna AJ, Peña-García J, Iftene A, Guadagni F, Ferroni P, Scarpato N, Zanzotto FM, Bueno-Crespo A, Pérez-Sánchez H. Banegas-Luna AJ, et al. Among authors: zanzotto fm. Int J Mol Sci. 2021 Apr 22;22(9):4394. doi: 10.3390/ijms22094394. Int J Mol Sci. 2021. PMID: 33922356 Free PMC article. Review.

5

Machine learning approach to predict medication overuse in migraine patients.

Ferroni P, Zanzotto FM, Scarpato N, Spila A, Fofi L, Egeo G, Rullo A, Palmirotta R, Barbanti P, Guadagni F. Ferroni P, et al. Among authors: zanzotto fm. Comput Struct Biotechnol J. 2020 Jun 12;18:1487-1496. doi: 10.1016/j.csbj.2020.06.006. eCollection 2020. Comput Struct Biotechnol J. 2020. PMID: 32637046 Free PMC article.

6

Breast Cancer Prognosis Using a Machine Learning Approach.

Ferroni P, Zanzotto FM, Riondino S, Scarpato N, Guadagni F, Roselli M. Ferroni P, et al. Among authors: zanzotto fm. Cancers (Basel). 2019 Mar 7;11(3):328. doi: 10.3390/cancers11030328. Cancers (Basel). 2019. PMID: 30866535 Free PMC article.

7

Symbolic, Distributed, and Distributional Representations for Natural Language Processing in the Era of Deep Learning: A Survey.

Ferrone L, Zanzotto FM. Ferrone L, et al. Among authors: zanzotto fm. Front Robot AI. 2020 Jan 21;6:153. doi: 10.3389/frobt.2019.00153. eCollection 2019. Front Robot AI. 2020. PMID: 33501168 Free PMC article. Review.

8

Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models.

Riondino S, Ferroni P, Zanzotto FM, Roselli M, Guadagni F. Riondino S, et al. Among authors: zanzotto fm. Cancers (Basel). 2019 Jan 15;11(1):95. doi: 10.3390/cancers11010095. Cancers (Basel). 2019. PMID: 30650562 Free PMC article. Review.

9

Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients.

Ferroni P, Zanzotto FM, Scarpato N, Riondino S, Nanni U, Roselli M, Guadagni F. Ferroni P, et al. Among authors: zanzotto fm. Med Decis Making. 2017 Feb;37(2):234-242. doi: 10.1177/0272989X16662654. Epub 2016 Aug 19. Med Decis Making. 2017. PMID: 27491558

10

Validation of a Machine Learning Approach for Venous Thromboembolism Risk Prediction in Oncology.

Ferroni P, Zanzotto FM, Scarpato N, Riondino S, Guadagni F, Roselli M. Ferroni P, et al. Among authors: zanzotto fm. Dis Markers. 2017;2017:8781379. doi: 10.1155/2017/8781379. Epub 2017 Sep 17. Dis Markers. 2017. PMID: 29104344 Free PMC article.

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