Philippe Burlina

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17 articles

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Coauteurs

Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Fady AlajajiQueen's UniversityAdresse e-mail validée de mast.queensu.ca
Daniel DeMenthonFounder and CEO, SwiftAlgosAdresse e-mail validée de cfar.umd.edu
Kapil KatyalPrincipal Staff - Robotics, Johns Hopkins University Applied Physics LabAdresse e-mail validée de jhuapl.edu
Saurabh VyasPostdoctoral Fellow, Columbia UniversityAdresse e-mail validée de columbia.edu
Elliot McVeighUCSD Bioengineering, Medicine, RadiologyAdresse e-mail validée de jhu.edu
Michael D. AbramoffProfessor of Ophthalmology and Visual Sciences, Electrical and Computer Engineering and Biomedical EngineeringAdresse e-mail validée de uiowa.edu
Larry DavisProfessor of Computer Science, University of MarylandAdresse e-mail validée de cs.umd.edu
A N RajagopalanIndian Institute of Technology MadrasAdresse e-mail validée de ee.iitm.ac.in
Yinzhi CaoJohns Hopkins UniversityAdresse e-mail validée de jhu.edu
Emanuele Trucco, FRSA, FIAPR, FBM...VAMPIRE/CVIP, Computing, University of DundeeAdresse e-mail validée de dundee.ac.uk
Luca GiancardoSchool of Biomedical Informatics, University of Texas Health Science Center at HoustonAdresse e-mail validée de uth.tmc.edu
Alfredo RuggeriAssociate Professor (retired), University of PaduaAdresse e-mail validée de unipd.it
Carol Y Cheung, PhDDepartment of Ophthalmology and Visual Sciences, Faculty of Medicine, The Chinese University of HongAdresse e-mail validée de cuhk.edu.hk
Edward ChaumMargy Ann and J Donald M Gass Chair and Professor of Ophthalmology and Visual SciencesAdresse e-mail validée de vumc.org
Gwenolé QuellecResearch director, InsermAdresse e-mail validée de inserm.fr
Andre LevchenkoJohn C. Malone Professor of Biomedical Engineering, Director of Yale Systems Biology Institute, YaleAdresse e-mail validée de yale.edu
Miaomiao ZhangAssistant Professor, University of VirginiaAdresse e-mail validée de virginia.edu
AloimonosProfessor of Computer Science, University of Maryland, Director Computer Vision LaboratoryAdresse e-mail validée de cs.umd.edu
Ram NevatiaAdresse e-mail validée de usc.edu

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Philippe Burlina

JHU/CS, JHU/SOM, JHU/APL, Malone MCEH

Adresse e-mail validée de jhuapl.edu - Page d'accueil

Machine Intelligence/Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A support vector method for anomaly detection in hyperspectral imagery A Banerjee, P Burlina, C Diehl IEEE Transactions on Geoscience and Remote Sensing 44 (8), 2282-2291, 2006	463	2006
Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks PM Burlina, N Joshi, M Pekala, KD Pacheco, DE Freund, NM Bressler JAMA ophthalmology 135 (11), 1170-1176, 2017	458	2017
Deep learning in ophthalmology: the technical and clinical considerations DSW Ting, L Peng, AV Varadarajan, PA Keane, PM Burlina, MF Chiang, ... Progress in retinal and eye research 72, 100759, 2019	282	2019
Comparing humans and deep learning performance for grading AMD: a study in using universal deep features and transfer learning for automated AMD analysis P Burlina, KD Pacheco, N Joshi, DE Freund, NM Bressler Computers in biology and medicine 82, 80-86, 2017	180	2017
Validating retinal fundus image analysis algorithms: issues and a proposal E Trucco, A Ruggeri, T Karnowski, L Giancardo, E Chaum, ... Investigative ophthalmology & visual science 54 (5), 3546-3559, 2013	178	2013
AI for medical imaging goes deep DSW Ting, Y Liu, P Burlina, X Xu, NM Bressler, TY Wong Nature medicine 24 (5), 539-540, 2018	154	2018
Deep learning based retinal OCT segmentation M Pekala, N Joshi, TYA Liu, NM Bressler, DC DeBuc, P Burlina Computers in biology and medicine 114, 103445, 2019	142	2019
Use of deep learning for detailed severity characterization and estimation of 5-year risk among patients with age-related macular degeneration PM Burlina, N Joshi, KD Pacheco, DE Freund, J Kong, NM Bressler JAMA ophthalmology 136 (12), 1359-1366, 2018	127	2018
Kernel fully constrained least squares abundance estimates J Broadwater, R Chellappa, A Banerjee, P Burlina 2007 IEEE international geoscience and remote sensing symposium, 4041-4044, 2007	120	2007
Detection of age-related macular degeneration via deep learning P Burlina, DE Freund, N Joshi, Y Wolfson, NM Bressler 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 184-188, 2016	113	2016
System and method of managing web content A Brown, P Burlina, S Depuy, S Wang, D Anderson, J Wingen US Patent App. 10/758,954, 2004	105	2004
Assessment of deep generative models for high-resolution synthetic retinal image generation of age-related macular degeneration PM Burlina, N Joshi, KD Pacheco, TYA Liu, NM Bressler JAMA ophthalmology 137 (3), 258-264, 2019	101	2019
Adaptive target detection in foliage-penetrating SAR images using alpha-stable models A Banerjee, P Burlina, R Chellappa IEEE Transactions on Image Processing 8 (12), 1823-1831, 1999	94	1999
System and method for automated detection of age related macular degeneration and other retinal abnormalities N Bressler, PM Burlina, DE Freund US Patent 8,896,682, 2014	92	2014
Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods P Burlina, S Billings, N Joshi, J Albayda PloS one 12 (8), e0184059, 2017	89	2017
Higher order statistical learning for vehicle detection in images AN Rajagopalan, P Burlina, R Chellappa Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999	84	1999
Fast hyperspectral anomaly detection via SVDD A Banerjee, P Burlina, R Meth 2007 IEEE International Conference on Image Processing 4, IV-101-IV-104, 2007	78	2007
Patient-specific modeling and analysis of the mitral valve using 3D-TEE P Burlina, C Sprouse, D DeMenthon, A Jorstad, R Juang, F Contijoch, ... Information Processing in Computer-Assisted Interventions: First …, 2010	67	2010
Automated detection of drusen in the macula DE Freund, N Bressler, P Burlina 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009	65	2009
Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images AK Feeny, M Tadarati, DE Freund, NM Bressler, P Burlina Computers in biology and medicine 65, 124-136, 2015	62	2015

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