BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Verde F, Romeo V, Stanzione A, Maurea S. Current trends of artificial intelligence in cancer imaging. Artif Intell Med Imaging 2020; 1(3): 87-93 [DOI: 10.35711/aimi.v1.i3.87]
URL: https://www.wjgnet.com/1007-9327/full/v1/i3/87.htm
Number Citing Articles
1
Arnaldo Stanzione, Francesco Verde, Valeria Romeo, Francesca Boccadifuoco, Pier Paolo Mainenti, Simone Maurea. Radiomics and machine learning applications in rectal cancer: Current update and future perspectivesWorld Journal of Gastroenterology 2021; 27(32): 5306-5321 doi: 10.3748/wjg.v27.i32.5306
2
Marco Di Serafino, Francesca Iacobellis, Maria Laura Schillirò, Divina D’auria, Francesco Verde, Dario Grimaldi, Giuseppina Dell’Aversano Orabona, Martina Caruso, Vittorio Sabatino, Chiara Rinaldo, Pasquale Guerriero, Vito Cantisani, Gianfranco Vallone, Luigia Romano. Common and Uncommon Errors in Emergency UltrasoundDiagnostics 2022; 12(3): 631 doi: 10.3390/diagnostics12030631
3
Pankaj Garg, Atish Mohanty, Sravani Ramisetty, Prakash Kulkarni, David Horne, Evan Pisick, Ravi Salgia, Sharad S. Singhal. Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancersBiochimica et Biophysica Acta (BBA) - Reviews on Cancer 2023; 1878(6): 189026 doi: 10.1016/j.bbcan.2023.189026
4
Tanvi Meet Dhruv, Vipul K. Dabhi. Comparative Study of Artificial Intelligence Models for Breast Cancer DetectionJournal of Trends in Computer Science and Smart Technology 2024; 6(1): 18 doi: 10.36548/jtcsst.2024.1.002
5
Vinícius Remus Ballotin, Lucas Goldmann Bigarella, John Soldera, Jonathan Soldera. Deep learning applied to the imaging diagnosis of hepatocellular carcinomaArtificial Intelligence in Gastrointestinal Endoscopy 2021; 2(4): 127-135 doi: 10.37126/aige.v2.i4.127