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Cited by in F6Publishing

For:	Nisha KL, G S, Sathidevi PS, Mohanachandran P, Vinekar A. A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features. Comput Med Imaging Graph 2019;74:72-94. [PMID: 31039506 DOI: 10.1016/j.compmedimag.2019.04.003] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]

For:

Nisha KL, G S, Sathidevi PS, Mohanachandran P, Vinekar A. A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features. Comput Med Imaging Graph 2019;74:72-94. [PMID: 31039506 DOI: 10.1016/j.compmedimag.2019.04.003] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]

Number	Citing Articles
1	Lo Castro D, Tegolo D, Valenti C. A visual framework to create photorealistic retinal vessels for diagnosis purposes. J Biomed Inform 2020;108:103490. [PMID: 32640292 DOI: 10.1016/j.jbi.2020.103490] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
2	Agarwal K, Vinekar A, Chandra P, Padhi TR, Nayak S, Jayanna S, Panchal B, Jalali S, Das T. Imaging the pediatric retina: An overview. Indian J Ophthalmol 2021;69:812-23. [PMID: 33727440 DOI: 10.4103/ijo.IJO_1917_20] [Reference Citation Analysis]
3	Gensure RH, Chiang MF, Campbell JP. Artificial intelligence for retinopathy of prematurity. Curr Opin Ophthalmol 2020;31:312-7. [PMID: 32694266 DOI: 10.1097/ICU.0000000000000680] [Cited by in Crossref: 7] [Article Influence: 3.5] [Reference Citation Analysis]