Research output per year
Research output per year
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Dive into the research topics where Antonio Napolitano is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Understanding Language Reorganization With Neuroimaging: How Language Adapts to Different Focal Lesions and Insights Into Clinical Applications
Pasquini, L., Di Napoli, A., Rossi-Espagnet, M. C., Visconti, E., Napolitano, A., Romano, A., Bozzao, A., Peck, K. K. & Holodny, A. I., Feb 18 2022, In: Frontiers in Human Neuroscience. 16, 747215.Research output: Contribution to journal › Review article › peer-review
Open Access -
AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?
Pasquini, L., Napolitano, A., Lucignani, M., Tagliente, E., Dellepiane, F., Rossi-Espagnet, M. C., Ritrovato, M., Vidiri, A., Villani, V., Ranazzi, G., Stoppacciaro, A., Romano, A., Di Napoli, A. & Bozzao, A., 2021, In: Frontiers in Oncology. 11, p. 601425Research output: Contribution to journal › Article › peer-review
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Clinical prognostic factors in advanced epithelioid haemangioendothelioma: a retrospective case series analysis within the Italian Rare Cancers Network
Frezza, A. M., Napolitano, A., Miceli, R., Badalamenti, G., Brunello, A., Buonomenna, C., Casali, P. G., Caraceni, A., Grignani, G., Gronchi, A., Infante, G., Morosi, C., Saita, L., Simeone, N., Zaffaroni, N., Vincenzi, B. & Stacchiotti, S., Apr 2021, In: ESMO Open. 6, 2, 100083.Research output: Contribution to journal › Article › peer-review
Open Access -
Clinical prognostic factors in advanced epithelioid haemangioendothelioma: a retrospective case series analysis within the Italian Rare Cancers Network
Frezza, A. M., Napolitano, A., Miceli, R., Badalamenti, G., Brunello, A., Buonomenna, C., Casali, P. G., Caraceni, A., Grignani, G., Gronchi, A., Infante, G., Morosi, C., Saita, L., Simeone, N., Zaffaroni, N., Vincenzi, B. & Stacchiotti, S., Apr 2021, In: ESMO Open. 6, 2, p. 1-9 9 p., 100083.Research output: Contribution to journal › Article › peer-review
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COVID Mortality Prediction with Machine Learning Methods: A Systematic Review and Critical Appraisal
Bottino, F., Tagliente, E., Pasquini, L., Napoli, A. D., Lucignani, M., Figà-Talamanca, L. & Napolitano, A., Sep 7 2021, In: Journal of Personalized Medicine. 11, 9Research output: Contribution to journal › Review article › peer-review