Rare Diseases
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Applications of Machine Learning in Pediatric Hydrocephalus: A Systematic Review. Pahwa Bhavya et al. Neurology India 2022 69(Supplement) S380-S389 |
Evaluation of an artificial intelligent hydrocephalus diagnosis model based on transfer learning. Duan Weike et al. Medicine 2020 Jul 99(29) e21229 |
Automated detection of imaging features of disproportionately enlarged subarachnoid space hydrocephalus using machine learning methods. Gunter Nathaniel B et al. NeuroImage. Clinical 2019 21101605 |
Automated deep-neural-network surveillance of cranial images for acute neurologic events. Titano Joseph J et al. Nature medicine 2018 24(9) 1337-1341 |
Big Data Research in Pediatric Neurosurgery: Content, Statistical Output, and Bibliometric Analysis. Oravec Chesney S et al. Pediatric neurosurgery 2019 54(2) 85-97 |