Monitoring Disease Progression With a Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning
Stanford Taylor(Oregon Health & Science University), Michael F. Chiang(United States National Library of Medicine), James M. Brown(Mary Lyon Centre at MRC Harwell), J. Peter Campbell(Oregon Health & Science University), Jayashree Kalpathy–Cramer(University of Colorado Denver), Jennifer Dy(Northeastern University), Kishan Gupta(University of California, Los Angeles), R.V. Paul Chan(University of Illinois Chicago), Stratis Ioannidis(Northeastern University), Susan Ostmo(Oregon Health & Science University), Deniz Erdoğmuş(Northeastern University), Sang J. Kim(Oregon Health & Science University)
Cited by 126
Related Papers
3D Slicer as an image computing platform for the Quantitative Imaging Network
|Magnetic Resonance Imaging|2012|9.1k
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
|IEEE Transactions on Medical Imaging|2014|6.7k
High-throughput discovery of novel developmental phenotypes
|Nature|2016|1.3k
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials
|Neuro-Oncology|2015|670
Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
|JAMA Ophthalmology|2018|660