BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Tokarz DA, Steinbach TJ, Lokhande A, Srivastava G, Ugalmugle R, Co CA, Shockley KR, Singletary E, Cesta MF, Thomas HC, Chen VS, Hobbie K, Crabbs TA. Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy. Toxicol Pathol 2021;49:888-96. [PMID: 33287662 DOI: 10.1177/0192623320972614] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Turner OC, Knight B, Zuraw A, Litjens G, Rudmann DG. Mini Review: The Last Mile-Opportunities and Challenges for Machine Learning in Digital Toxicologic Pathology. Toxicol Pathol 2021;49:714-9. [PMID: 33590805 DOI: 10.1177/0192623321990375] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Mehrvar S, Himmel LE, Babburi P, Goldberg AL, Guffroy M, Janardhan K, Krempley AL, Bawa B. Deep Learning Approaches and Applications in Toxicologic Histopathology: Current Status and Future Perspectives. J Pathol Inform 2021;12:42. [PMID: 34881097 DOI: 10.4103/jpi.jpi_36_21] [Reference Citation Analysis]
3 Zuraw A, Aeffner F. Whole-slide imaging, tissue image analysis, and artificial intelligence in veterinary pathology: An updated introduction and review. Vet Pathol 2021;:3009858211040484. [PMID: 34521285 DOI: 10.1177/03009858211040484] [Reference Citation Analysis]
4 Glass C, Lafata KJ, Jeck W, Horstmeyer R, Cooke C, Everitt J, Glass M, Dov D, Seidman MA. The Role of Machine Learning in Cardiovascular Pathology. Can J Cardiol 2021:S0828-282X(21)00867-9. [PMID: 34813876 DOI: 10.1016/j.cjca.2021.11.008] [Reference Citation Analysis]
5 Smith GF. Artificial Intelligence in Drug Safety and Metabolism. Methods Mol Biol 2022;2390:483-501. [PMID: 34731484 DOI: 10.1007/978-1-0716-1787-8_22] [Reference Citation Analysis]