J
J. Peter Campbell
Researcher at Oregon Health & Science University
Publications - 166
Citations - 3823
J. Peter Campbell is an academic researcher from Oregon Health & Science University. The author has contributed to research in topics: Retinopathy of prematurity & Medicine. The author has an hindex of 22, co-authored 119 publications receiving 2136 citations. Previous affiliations of J. Peter Campbell include University of Portland & Johns Hopkins University.
Papers
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Journal ArticleDOI
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
James M. Brown,J. Peter Campbell,Andrew Beers,Ken Chang,Susan Ostmo,R.V. Paul Chan,Jennifer G. Dy,Deniz Erdogmus,Stratis Ioannidis,Jayashree Kalpathy-Cramer,Jayashree Kalpathy-Cramer,Michael F. Chiang +11 more
TL;DR: This fully automated algorithm diagnosed plus disease in ROP with comparable or better accuracy than human experts, which has potential applications in disease detection, monitoring, and prognosis in infants at risk of ROP.
Journal ArticleDOI
Retinopathy of prematurity: a review of risk factors and their clinical significance
Sang Jin Kim,Sang Jin Kim,Alexander D. Port,Ryan Swan,J. Peter Campbell,R.V. Paul Chan,Michael F. Chiang +6 more
TL;DR: Understanding ROP risk factors is essential to develop predictive models, to gain insights into pathophysiology of retinal vascular diseases and diseases of prematurity, and to determine future directions in management of and research in ROP.
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Projection-resolved optical coherence tomographic angiography.
Miao Zhang,Thomas S. Hwang,J. Peter Campbell,Steven T. Bailey,David J. Wilson,David Huang,Yali Jia +6 more
TL;DR: It is demonstrated that PR OCT-A cleanly removes flow projection from the normally avascular outer retinal slab while preserving the density and continuity of the intermediate and deep retinal capillary plexuses.
Journal Article
Projection-Resolved Optical Coherence Tomographic Angiography
Zhang Miao,Thomas S. Hwang,J. Peter Campbell,Steven T. Bailey,David J. Wilson,David Huang,Yali Jia +6 more
TL;DR: In this article, the authors proposed a projection resolved (PR) OCT-A algorithm to remove the projection artifacts by resolving the ambiguity between in situ and projected flow signals, which effectively suppressed the projection artifact on both en face and cross-sectional angiograms.
Journal ArticleDOI
Introduction to Machine Learning, Neural Networks, and Deep Learning.
TL;DR: The aim of this review article is to provide the nontechnical readers a layman's explanation of the machine learning methods being used in medicine today, to provide a better understanding of the potential and challenges of artificial intelligence within the field of medicine.