Philippe Burlina

Publications

3.7K

Citations

H-Index

1997

Active since

Affiliations

Johns Hopkins University Applied Physics Laboratory(Current)

Johns Hopkins University

Johns Hopkins Medicine

University of Maryland, College Park

Philippe Burlina is an author at Johns Hopkins University Applied Physics Laboratory specializing in engineering, image analysis, and computer vision.

ORCID

Top concepts

EngineeringImage AnalysisComputer VisionMachine VisionPattern RecognitionRadiologyMedical Image ComputingData ScienceMachine LearningDeep Learning

Publications per year

1997–2024

Publications

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

Philippe Burlina, Neil Joshi, Michael Pekala et al. · JAMA Ophthalmology · 2017 · 664 citations · Full text

A support vector method for anomaly detection in hyperspectral imagery

Amit Banerjee, Philippe Burlina, Christopher Diehl · IEEE Transactions on Geoscience and Remote Sensing · 2006 · 374 citations

Anomaly Detection, Engineering, Environmental Monitoring +18

Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis

Philippe Burlina, Kátia D. Pacheco, Neil Joshi et al. · Computers in Biology and Medicine · 2017 · 221 citations

Convolutional Neural Network, Image Analysis, Machine Learning +9

AI for medical imaging goes deep

Daniel Shu Wei Ting, Yong Liu, Philippe Burlina et al. · Nature Medicine · 2018 · 205 citations

Artificial Intelligence, Biomedical Artificial Intelligence, Engineering +9

Use of Deep Learning for Detailed Severity Characterization and Estimation of 5-Year Risk Among Patients With Age-Related Macular Degeneration

Philippe Burlina, Neil Joshi, Kátia D. Pacheco et al. · JAMA Ophthalmology · 2018 · 166 citations · Full text

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