Damiano Zanini

IRCCS Humanitas Research Hospital — Italy

Neuroscience · Life Sciences

15h-index684citations40works1.72yr avg
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Research Topics

Neurobiology and Insect Physiology Research(14), AI in cancer detection(12), Radiomics and Machine Learning in Medical Imaging(12), Circadian rhythm and melatonin(7), Cell Image Analysis Techniques(4)

Publications40 total

Depicting the cellular complexity of pancreatic adenocarcinoma by Imaging Mass Cytometry: focus on cancer-associated fibroblasts
Frontiers in Immunology·2024· 3 citedOpen Access
Table S3 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Data from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 3 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 2 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Table 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Data from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 3 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Table S3 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Supplementary Figure 1 from Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
2024Open Access
Integrating AI-Powered Digital Pathology and Imaging Mass Cytometry Identifies Key Classifiers of Tumor Cells, Stroma, and Immune Cells in Non–Small Cell Lung Cancer
Cancer Research·2024· 20 citedOpen Access
Multiplexed Imaging Mass Cytometry Analysis in Preclinical Models of Pancreatic Cancer
International Journal of Molecular Sciences·2024· 6 citedOpen Access
A Multilayered Imaging and Microfluidics Approach for Evaluating the Effect of Fibrinolysis in Staphylococcus aureus Biofilm Formation
Pathogens·2023· 4 citedOpen Access
All-optical manipulation of the Drosophila olfactory system
Scientific Reports·2022· 8 citedOpen Access
All-optical manipulation of the <i>Drosophila</i> olfactory system
2022Open Access
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Frequent Co-authors

Marco Erreni(18), Maria Rita Fumagalli(18), Andrea Doni(18), Alberto Mantovani(16), Federica Marchesi(16), Alessandra Rigamonti(15), Marika Viatore(15), Rebecca Polidori(15), Daoud Rahal(15), Anna Rita Putignano(15), Paola Bossi(15), Emanuele Voulaz(15), Marco Alloisio(15), Sabrina Rossi(15), Paolo Andrea Zucali(15), Armando Santoro(15), Vittoria Balzano(15), Paola Nisticò(15), Friedrich Feuerhake(15), Massimo Locati(15)