Philippe Burlina

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Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerifierad e-postadress på jhu.edu
Fady AlajajiQueen's UniversityVerifierad e-postadress på mast.queensu.ca
Daniel DeMenthonFounder and CEO, SwiftAlgosVerifierad e-postadress på cfar.umd.edu
Yinzhi CaoJohns Hopkins UniversityVerifierad e-postadress på jhu.edu
Kapil KatyalPrincipal Staff - Robotics, Johns Hopkins University Applied Physics LabVerifierad e-postadress på jhuapl.edu
Saurabh VyasPostdoctoral Fellow, Columbia UniversityVerifierad e-postadress på columbia.edu
Michael D. AbramoffProfessor of Ophthalmology and Visual Sciences, Electrical and Computer Engineering and Biomedical EngineeringVerifierad e-postadress på uiowa.edu
Elliot McVeighUCSD Bioengineering, Medicine, RadiologyVerifierad e-postadress på jhu.edu
Larry DavisProfessor of Computer Science, University of MarylandVerifierad e-postadress på cs.umd.edu
A N RajagopalanIndian Institute of Technology MadrasVerifierad e-postadress på ee.iitm.ac.in
Emanuele Trucco, FRSA, FIAPR, FBM...VAMPIRE/CVIP, Computing, University of DundeeVerifierad e-postadress på dundee.ac.uk
Luca GiancardoMcWilliams School of Biomedical Informatics, University of Texas Health Science Center at HoustonVerifierad e-postadress på uth.tmc.edu
Alfredo RuggeriAssociate Professor (retired), University of PaduaVerifierad e-postadress på unipd.it
Carol Y Cheung, PhDDepartment of Ophthalmology and Visual Sciences, Faculty of Medicine, The Chinese University of HongVerifierad e-postadress på cuhk.edu.hk
Edward ChaumMargy Ann and J Donald M Gass Chair and Professor of Ophthalmology and Visual SciencesVerifierad e-postadress på vumc.org
Gwenolé QuellecResearch director, InsermVerifierad e-postadress på inserm.fr
Andre LevchenkoJohn C. Malone Professor of Biomedical Engineering, Director of Yale Systems Biology Institute, YaleVerifierad e-postadress på yale.edu
Miaomiao ZhangAssistant Professor, University of VirginiaVerifierad e-postadress på virginia.edu
AloimonosProfessor of Computer Science, University of Maryland, Director Computer Vision LaboratoryVerifierad e-postadress på cs.umd.edu
Ram NevatiaVerifierad e-postadress på usc.edu

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Philippe Burlina

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

Verifierad e-postadress på jhuapl.edu - Startsida

Machine Intelligence/Vision


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	671	2017
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	513	2006
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	490	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	231	2017
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	229	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	213	2019
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	208	2013
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	169	2018
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	154	2019
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	151	2016
Practical blind membership inference attack via differential comparisons B Hui, Y Yang, H Yuan, P Burlina, NZ Gong, Y Cao arXiv preprint arXiv:2101.01341, 2021	144	2021
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	136	2017
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	124	2007
Addressing artificial intelligence bias in retinal diagnostics P Burlina, N Joshi, W Paul, KD Pacheco, NM Bressler Translational Vision Science & Technology 10 (2), 13-13, 2021	109	2021
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	107	2014
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	106	2004
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	100	1999
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	90	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	85	2007
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	73	2015

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