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For: Xie Q, Faust K, Van Ommeren R, Sheikh A, Djuric U, Diamandis P. Deep learning for image analysis: Personalizing medicine closer to the point of care. Crit Rev Clin Lab Sci 2019;56:61-73. [PMID: 30628494 DOI: 10.1080/10408363.2018.1536111] [Cited by in Crossref: 22] [Cited by in F6Publishing: 14] [Article Influence: 7.3] [Reference Citation Analysis]
Number Citing Articles
1 Iglesias-Puzas Á, Boixeda P. Deep Learning and Mathematical Models in Dermatology. Actas Dermosifiliogr (Engl Ed) 2020;111:192-5. [PMID: 31910947 DOI: 10.1016/j.ad.2019.01.014] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
2 Roohi A, Faust K, Djuric U, Diamandis P. Unsupervised Machine Learning in Pathology: The Next Frontier. Surg Pathol Clin 2020;13:349-58. [PMID: 32389272 DOI: 10.1016/j.path.2020.01.002] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
3 Chae J, Kang YJ, Noh Y. A Deep-Learning Approach for Foot-Type Classification Using Heterogeneous Pressure Data. Sensors (Basel) 2020;20:E4481. [PMID: 32796568 DOI: 10.3390/s20164481] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
4 Camara J, Neto A, Pires IM, Villasana MV, Zdravevski E, Cunha A. A Comprehensive Review of Methods and Equipment for Aiding Automatic Glaucoma Tracking. Diagnostics 2022;12:935. [DOI: 10.3390/diagnostics12040935] [Reference Citation Analysis]
5 Sarwar S, Dent A, Faust K, Richer M, Djuric U, Van Ommeren R, Diamandis P. Physician perspectives on integration of artificial intelligence into diagnostic pathology. NPJ Digit Med 2019;2:28. [PMID: 31304375 DOI: 10.1038/s41746-019-0106-0] [Cited by in Crossref: 37] [Cited by in F6Publishing: 32] [Article Influence: 12.3] [Reference Citation Analysis]
6 Zhang W. The mitophagy receptor FUN14 domain-containing 1 (FUNDC1): A promising biomarker and potential therapeutic target of human diseases. Genes Dis 2021;8:640-54. [PMID: 34291135 DOI: 10.1016/j.gendis.2020.08.011] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Bingol MC, Aydogmus O. Practical application of a safe human-robot interaction software. IR 2020;47:359-68. [DOI: 10.1108/ir-09-2019-0180] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Smidova V, Michalek P, Goliasova Z, Eckschlager T, Hodek P, Adam V, Heger Z. Nanomedicine of tyrosine kinase inhibitors. Theranostics 2021;11:1546-67. [PMID: 33408767 DOI: 10.7150/thno.48662] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
9 Toh J, Hoppe MM, Thakur T, Yang H, Tan KT, Pang B, Ho S, Roy R, Ho KY, Yeoh KG, Tan P, Sundar R, Jeyasekharan A. Profiling of gastric cancer cell-surface markers to achieve tumour-normal discrimination. BMJ Open Gastroenterol 2020;7:e000452. [PMID: 32816956 DOI: 10.1136/bmjgast-2020-000452] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Manogaran G, Shakeel PM, Fouad H, Nam Y, Baskar S, Chilamkurti N, Sundarasekar R. Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System. Sensors (Basel) 2019;19:E3030. [PMID: 31324070 DOI: 10.3390/s19133030] [Cited by in Crossref: 80] [Cited by in F6Publishing: 19] [Article Influence: 26.7] [Reference Citation Analysis]
11 Rajsic S, Breitkopf R, Bachler M, Treml B. Diagnostic Modalities in Critical Care: Point-of-Care Approach. Diagnostics (Basel) 2021;11:2202. [PMID: 34943438 DOI: 10.3390/diagnostics11122202] [Reference Citation Analysis]
12 Zheng Q, Zhang G. Application of leukocyte esterase strip test in the screening of periprosthetic joint infections and prospects of high-precision strips. Arthroplasty 2020;2. [DOI: 10.1186/s42836-020-00053-5] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
13 Kim J, McKee JA, Fontenot JJ, Jung JP. Engineering Tissue Fabrication With Machine Intelligence: Generating a Blueprint for Regeneration. Front Bioeng Biotechnol 2019;7:443. [PMID: 31998708 DOI: 10.3389/fbioe.2019.00443] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
14 Rawson SD, Maksimcuka J, Withers PJ, Cartmell SH. X-ray computed tomography in life sciences. BMC Biol 2020;18:21. [PMID: 32103752 DOI: 10.1186/s12915-020-0753-2] [Cited by in Crossref: 21] [Cited by in F6Publishing: 14] [Article Influence: 10.5] [Reference Citation Analysis]
15 Pantel JT, Hajjir N, Danyel M, Elsner J, Abad-Perez AT, Hansen P, Mundlos S, Spielmann M, Horn D, Ott CE, Mensah MA. Efficiency of Computer-Aided Facial Phenotyping (DeepGestalt) in Individuals With and Without a Genetic Syndrome: Diagnostic Accuracy Study. J Med Internet Res 2020;22:e19263. [PMID: 33090109 DOI: 10.2196/19263] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
16 Wang C, Liu M, Wang Z, Li S, Deng Y, He N. Point-of-care diagnostics for infectious diseases: From methods to devices. Nano Today 2021;37:101092. [PMID: 33584847 DOI: 10.1016/j.nantod.2021.101092] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 16.0] [Reference Citation Analysis]
17 Grenier K, Kao J, Diamandis P. Three-dimensional modeling of human neurodegeneration: brain organoids coming of age. Mol Psychiatry 2020;25:254-74. [PMID: 31444473 DOI: 10.1038/s41380-019-0500-7] [Cited by in Crossref: 34] [Cited by in F6Publishing: 33] [Article Influence: 11.3] [Reference Citation Analysis]
18 Li S, Wang Z, Visser LC, Wisner ER, Cheng H. Pilot study: Application of artificial intelligence for detecting left atrial enlargement on canine thoracic radiographs. Vet Radiol Ultrasound 2020;61:611-8. [PMID: 32783354 DOI: 10.1111/vru.12901] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
19 Vuong QH, Ho MT, Vuong TT, La VP, Ho MT, Nghiem KP, Tran BX, Giang HH, Giang TV, Latkin C, Nguyen HT, Ho CSH, Ho RCM. Artificial Intelligence vs. Natural Stupidity: Evaluating AI readiness for the Vietnamese Medical Information System. J Clin Med 2019;8:E168. [PMID: 30717268 DOI: 10.3390/jcm8020168] [Cited by in Crossref: 17] [Cited by in F6Publishing: 10] [Article Influence: 5.7] [Reference Citation Analysis]