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Cited by in F6Publishing
For: O'Sullivan S, Holzinger A, Wichmann D, Saldiva PHN, Sajid MI, Zatloukal K. Virtual autopsy: Machine Learning and AI provide new opportunities for investigating minimal tumor burden and therapy resistance by cancer patients. Autops Case Rep 2018;8:e2018003. [PMID: 29515978 DOI: 10.4322/acr.2018.003] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Mesejo P, Martos R, Ibáñez Ó, Novo J, Ortega M. A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification. Applied Sciences 2020;10:4703. [DOI: 10.3390/app10144703] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
2 O’sullivan S, Jeanquartier F, Jean-quartier C, Holzinger A, Shiebler D, Moon P, Angione C. Developments in AI and Machine Learning for Neuroimaging. Artificial Intelligence and Machine Learning for Digital Pathology 2020. [DOI: 10.1007/978-3-030-50402-1_18] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
3 Regitnig P, Müller H, Holzinger A. Expectations of Artificial Intelligence for Pathology. Artificial Intelligence and Machine Learning for Digital Pathology 2020. [DOI: 10.1007/978-3-030-50402-1_1] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
4 Holzinger A, Plass M, Kickmeier-rust M, Holzinger K, Crişan GC, Pintea C, Palade V. Interactive machine learning: experimental evidence for the human in the algorithmic loop: A case study on Ant Colony Optimization. Appl Intell 2019;49:2401-14. [DOI: 10.1007/s10489-018-1361-5] [Cited by in Crossref: 105] [Cited by in F6Publishing: 52] [Article Influence: 21.0] [Reference Citation Analysis]