Pubblicazioni

Artificial intelligence for thyroid nodule characterization: where are we standing?

2022 - CANCERS

Sorrenti, Salvatore; Dolcetti, Vincenzo; Radzina, Maija; Bellini, Maria Irene; Frezza, Fabrizio; Munir, Khushboo; Grani, Giorgio; Durante, Cosimo; D'Andrea, Vito; David, Emanuele; CalÃ², Pietro Giorgio; Lori, Eleonora; Cantisani, Vito

A machine-learning-based bibliometric analysis of the scientific literature on anal cancer

2022 - CANCERS

Franco, Pierfrancesco; Segelov, Eva; Johnsson, Anders; Riechelmann, Rachel; Guren, Marianne G; Das, Prajnan; Rao, Sheela; Arnold, Dirk; Spindler, Karen-Lise Garm; Deutsch, Eric; Krengli, Marco; Tombolini, Vincenzo; Sebag-Montefiore, David; De Felice, Francesca

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

2022 - CANCERS

Garbulowski, Mateusz; Smolinska, Karolina; Ãabuk, UÄur; Yones, Sara A; Celli, Ludovica; Yaz, Esma Nur; BarrenÃ¤s, Fredrik; Diamanti, Klev; Wadelius, Claes; Komorowski, Jan

Artificial intelligence in thyroid field. A comprehensive review

2021 - CANCERS

Bini, F.; Pica, A.; Azzimonti, L.; Giusti, A.; Ruinelli, L.; Marinozzi, F.; Trimboli, P.

Machine learning based prediction of squamous cell carcinoma in ex vivo confocal laser scanning microscopy

2021 - CANCERS

Ruini, C.; Schlingmann, S.; Jonke, Z.; Avci, P.; Padron-Laso, V.; Neumeier, F.; Koveshazi, I.; Ikeliani, I. U.; Patzer, K.; Kunrad, E.; Kendziora, B.; Sattler, E.; French, L. E.; Hartmann, D.