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Cited by in F6Publishing
For: Laurinavicius A, Rasmusson A, Plancoulaine B, Shribak M, Levenson R. Machine-Learning-Based Evaluation of Intratumoral Heterogeneity and Tumor-Stroma Interface for Clinical Guidance. Am J Pathol 2021:S0002-9440(21)00165-6. [PMID: 33895120 DOI: 10.1016/j.ajpath.2021.04.008] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Cohen S, Levenson R, Pantanowitz L. Guest Editorial: Artificial Intelligence in Pathology. Am J Pathol 2021:S0002-9440(21)00349-7. [PMID: 34391718 DOI: 10.1016/j.ajpath.2021.07.011] [Reference Citation Analysis]
2 Garberis I, Andre F, Lacroix-Triki M. L’intelligence artificielle pourrait-elle intervenir dans l’aide au diagnostic des cancers du sein ? – L’exemple de HER2: Could artificial intelligence play a role in breast cancer diagnosis? – The example of HER2. Bull Cancer 2021;108:11S35-45. [PMID: 34969514 DOI: 10.1016/S0007-4551(21)00635-4] [Reference Citation Analysis]
3 Radziuviene G, Rasmusson A, Augulis R, Grineviciute RB, Zilenaite D, Laurinaviciene A, Ostapenko V, Laurinavicius A. Intratumoral Heterogeneity and Immune Response Indicators to Predict Overall Survival in a Retrospective Study of HER2-Borderline (IHC 2+) Breast Cancer Patients. Front Oncol 2021;11:774088. [PMID: 34858854 DOI: 10.3389/fonc.2021.774088] [Reference Citation Analysis]