Fabio Massimo Zanzotto (Fabio M Zanzotto)

Scopus Author ID ResearcherID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 5

Top Topics

Machine Learning

Risk Assessment

Venous Thromboembolism

Papillary Thyroid

Top Venues

Journal of imaging

International journal of molecular sciences

Cancer immunology research

This page only lists publications with an associated author ORCID identifier.

Publications

Georges Bedran, Hans-Christof Gasser, Kenneth Weke, Tongjie Wang, Dominika Bedran, Alexander Laird, Christophe Battail, Fabio Massimo Zanzotto, Catia Pesquita, Håkan Axelson, Ajitha Rajan, David J Harrison, Aleksander Palkowski, Maciej Pawlik, Maciej Parys, J Robert O'Neill, Paul M Brennan, Stefan N Symeonides, David R Goodlett, Kevin Litchfield, Robin Fahraeus, Theodore Hupp, Sachin Kote, Javier Antonio Alfaro
The immunopeptidome from a genomic perspective: Establishing the non-canonical landscape of MHC class I-associated peptides. Cancer immunology research (2023)
Antonio Jesús Banegas-Luna, Jorge Peña-García, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, Horacio Pérez Sánchez
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. International journal of molecular sciences 22 (9) (2021)
Arianna Patrizi, Giorgio Gambosi, Fabio Massimo Zanzotto
Data Augmentation Using Background Replacement for Automated Sorting of Littered Waste. Journal of imaging 7 (8) (2021)
Silvia Riondino, Patrizia Ferroni, Fabio Massimo Zanzotto, Mario Roselli, Fiorella Guadagni
Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models. Cancers 11 (1) (2019)
Patrizia Ferroni, Fabio Massimo Zanzotto, Silvia Riondino, Noemi Scarpato, Fiorella Guadagni, Mario Roselli
Breast Cancer Prognosis Using a Machine Learning Approach. Cancers 11 (3) (2019)