Philippe Burlina - Concepedia

Author

Philippe Burlina

Johns Hopkins University Applied Physics Laboratory ORCID

Also Known As

Burlina, Phil, Burlina, Philippe, Burlina, Philippe M., P Burlina, P. Burlina, Phil Burlina, Philippe Burlina, Philippe M. Burlina, Principal Investigator

165

Publications

4.7K

Citations

H-Index

121

Concepts

All Affiliations

Johns Hopkins University Applied Physics Laboratory Johns Hopkins University Johns Hopkins Medicine University of Maryland, College Park

About

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

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	35	2.1K
2	Health Sciences	8	8	509
3	Medicine	7	7	249
4	Natural Sciences	2	2	36
5	Management	1	1	12

Philippe Burlina

Publications

3.7K

Citations

H-Index

Page 1

	Year	Citations
Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks Philippe Burlina, Neil Joshi, Michael Pekala, JAMA Ophthalmology	2017	664
A support vector method for anomaly detection in hyperspectral imagery Amit Banerjee, Philippe Burlina, Christopher Diehl IEEE Transactions on Geoscience and Remote Sensing Anomaly DetectionEngineeringEnvironmental MonitoringDisaster DetectionEarth Science	2006	374
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, Computers in Biology and Medicine Convolutional Neural NetworkImage AnalysisMachine LearningData ScienceEngineering	2017	221
AI for medical imaging goes deep Daniel Shu Wei Ting, Yong Liu, Philippe Burlina, Nature Medicine Artificial IntelligenceBiomedical Artificial IntelligenceEngineeringMedical ImagingDeep Learning	2018	205
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, JAMA Ophthalmology	2018	166
Validating Retinal Fundus Image Analysis Algorithms: Issues and a Proposal Emanuele Trucco, Alfredo Ruggeri, Thomas P. Karnowski, Investigative Ophthalmology & Visual Science Aria ValidationEngineeringAria LiteratureValidation TechniquesImage Analysis	2013	164
Assessment of Deep Generative Models for High-Resolution Synthetic Retinal Image Generation of Age-Related Macular Degeneration Philippe Burlina, Neil Joshi, Kátia D. Pacheco, JAMA Ophthalmology	2019	164
Detection of age-related macular degeneration via deep learning Philippe Burlina, David Freund, N. Joshi, Amd DetectionConvolutional Neural NetworkOcular DiseaseEngineeringImage Classification	2016	135
Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods Philippe Burlina, Seth Billings, Neil Joshi, PLoS ONE	2017	132
Addressing Artificial Intelligence Bias in Retinal Diagnostics Philippe Burlina, Neil Joshi, William Paul, Translational Vision Science & Technology	2021	122

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