Akram Belghith

发表

Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2018, Scientific Reports.

Change detection based on a support vector data description that treats dependency

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2013, Pattern Recognit. Lett..

Change-detection based on support vector data description handling dependency

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2011, 2011 18th IEEE International Conference on Image Processing.

A Bayesian framework for glaucoma progression detection using Heidelberg Retina Tomograph images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2013 .

Detecting glaucomatous change in visual fields: Analysis with an optimization framework

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015, J. Biomed. Informatics.

Learning from healthy and stable eyes: A new approach for detection of glaucomatous progression

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015, Artif. Intell. Medicine.

A statistical framework for biomarker identification of biopsies using HR-MAS HSQC spectroscopy

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Glance: A Visual Analytics Approach for Opening the Black Box to Explain Deep Learning Predictions of Glaucomatous Visual Field Damage from Optical Coherence Tomography Scans

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020 .

Deep Learning Models Predict Visual Function from Macula Thickness Map

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2019 .

Glaucoma progression detection using nonlocal Markov random field prior

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014, Journal of medical imaging.

Glaucoma progression detection using variational expectation maximization algorithm

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

A unified framework for peak detection and alignment: application to HR-MAS 2D NMR spectroscopy

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2013, Signal Image Video Process..

A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Wheezing sounds detection using multivariate generalized gaussian distributions

Christophe Collet, Akram Belghith, Steven Le Cam, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automated segmentation of anterior lamina cribrosa surface: How the lamina cribrosa responds to intraocular pressure change in glaucoma eyes?

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A unified framework for glaucoma progression detection using Heidelberg Retina Tomograph images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2014, Comput. Medical Imaging Graph..

Glaucoma progression detection using a Bayesian-fuzzy logic approach applied to 3D spectral domain optical coherence tomography optic nerve head images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2013 .

Measurement of BMO-based optic disc area and rim area using Artificial Neural Network Principal component analysis (ANN-PCA) approach applied to 3D spectral domain optical coherence tomography optic nerve head images

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2014 .

Automated circumferential construction of first-order aqueous humor outflow pathways using spectral-domain optical coherence tomography

Robert N Weinreb, Akram Belghith, Linda M Zangwill, 2017, Journal of biomedical optics.

A joint estimation detection of Glaucoma progression in 3D spectral domain optical coherence tomography optic nerve head images

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2014, Medical Imaging.

Diabetic retinopathy detection from image to classification using deep convolutional neural network

Christopher Bowd, Linda M. Zangwill, Michael H. Goldbaum, 2016 .

Individualized deep learning auto-encoder (DL-AE)-based OCT deviation maps for improved glaucoma progression detection

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020 .

Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning

Christopher Bowd, Michael H. Goldbaum, Siamak Yousefi, 2015, AMIA.

Rate and Pattern of Rim Area Loss in Healthy and Progressing Glaucoma Eyes.

Robert N Weinreb, Christopher Bowd, Akram Belghith, 2016, Ophthalmology.

Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms

Christopher Bowd, Linda M. Zangwill, Robert N. Weinreb, 2020, Translational vision science & technology.

Deep Retinal Layer Microvasculature Dropout Detected by the Optical Coherence Tomography Angiography in Glaucoma.

Robert N Weinreb, Akram Belghith, Linda M Zangwill, 2016, Ophthalmology.

Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps.

Robert N Weinreb, Christopher Bowd, Mark Christopher, 2019, Ophthalmology.

Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2016, Investigative ophthalmology & visual science.

Optical Coherence Tomography Angiography Vessel Density in Glaucomatous Eyes with Focal Lamina Cribrosa Defects.

Robert N Weinreb, Siamak Yousefi, Akram Belghith, 2016, Ophthalmology.

Segmentation of respiratory signals by evidence theory

Christophe Collet, Akram Belghith, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression

Christopher Bowd, Linda M. Zangwill, Felipe A. Medeiros, 2018, Investigative ophthalmology & visual science.

A Statistical Framework for Biomarker Analysis and HR-MAS 2D Metabolite Identification

Christophe Collet, Jean-Paul Armspach, Akram Belghith, 2014 .