Philippe Burlina
Philippe Burlina
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Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Patient-specific modeling and analysis of the mitral valve using 3D-TEE
P Burlina, C Sprouse, D DeMenthon, A Jorstad, R Juang, F Contijoch, ...
International Conference on Information Processing in Computer-Assisted …, 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
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
Adaptive source-channel subband video coding for wireless channels
M Srinivasan, R Chellappa
IEEE Journal on Selected Areas in Communications 16 (9), 1830-1839, 1998
Image segmentation and labeling using the Polya urn model
A Banerjee, P Burlina, F Alajaji
IEEE transactions on image processing 8 (9), 1243-1253, 1999
Systems and methods for determining eye glances
C Shekhar, P Burlina, Q Zheng, R Chellappa
US Patent App. 09/836,079, 2002
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