Siamak Yousefi

Orcid: 0000-0001-8633-5730

According to our database1, Siamak Yousefi authored at least 53 papers between 2006 and 2024.

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Bibliography

2024
A comprehensive review of artificial intelligence models for screening major retinal diseases.
Artif. Intell. Rev., May, 2024

Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease.
Biomed. Signal Process. Control., 2024

2023
Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions.
CoRR, 2023

Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning.
CoRR, 2023

ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports.
CoRR, 2023

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology.
CoRR, 2023

Contrastive Learning Driven Self-Supervised Framework for Segmentation of Biomarker of Diabetic Macular Edema.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023

2022
Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning.
Bioinform., 2022

2021
Keratoconus Severity Detection From Elevation, Topography and Pachymetry Raw Data Using a Machine Learning Approach.
IEEE Access, 2021

Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

Glaucoma Precognition Based on Confocal Scanning Laser Ophthalmoscopy Images of the Optic Disc Using Convolutional Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Detecting Keratoconus From Corneal Imaging Data Using Machine Learning.
IEEE Access, 2020

Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018
A novel approach for ellipsoidal outer-approximation of the intersection region of ellipses in the plane.
Comput. Optim. Appl., 2018

Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

2017
A Survey of Human Activity Recognition Using WiFi CSI.
CoRR, 2017

A Survey on Behavior Recognition Using WiFi Channel State Information.
IEEE Commun. Mag., 2017

2016
Tight Two-Dimensional Outer-Approximations of Feasible Sets in Wireless Sensor Networks.
IEEE Commun. Lett., 2016

A Look at the Recent Wireless Positioning Techniques With a Focus on Algorithms for Moving Receivers.
IEEE Access, 2016

Luminosity and contrast normalization in color retinal images based on standard reference image.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
Mobile Localization in Non-Line-of-Sight Using Constrained Square-Root Unscented Kalman Filter.
IEEE Trans. Veh. Technol., 2015

Detecting glaucomatous change in visual fields: Analysis with an optimization framework.
J. Biomed. Informatics, 2015

Sensor localization in NLOS environments with anchor uncertainty and unknown clock parameters.
Proceedings of the IEEE International Conference on Communication, 2015

RSSI Localization with Gaussian Processes and Tracking.
Proceedings of the 2015 IEEE Globecom Workshops, San Diego, CA, USA, December 6-10, 2015, 2015

Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning.
Proceedings of the AMIA 2015, 2015

2014
Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements.
IEEE Trans. Biomed. Eng., 2014

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points.
IEEE Trans. Biomed. Eng., 2014

A gradient-based optimization approach for reduction of blocking artifacts in JPEG images.
Signal Process. Image Commun., 2014

Optimization method to reduce blocking artifacts in JPEG images.
J. Electronic Imaging, 2014

Distributed cooperative localization in wireless sensor networks without NLOS identification.
Proceedings of the 11th Workshop on Positioning, Navigation and Communication, 2014

Cooperative localization of mobile nodes in NLOS.
Proceedings of the 25th IEEE Annual International Symposium on Personal, 2014

Recognizing patterns of visual field loss using unsupervised machine learning.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

2013
Computationally Tractable Stochastic Image Modeling Based on Symmetric Markov Mesh Random Fields.
IEEE Trans. Image Process., 2013

Evaluating similarity measures for brain image registration.
J. Vis. Commun. Image Represent., 2013

A joint localization and synchronization technique using time of arrival at multiple antenna receivers.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

Low-complexity variable forgetting factor constant modulus RLS-based algorithm for blind adaptive beamforming.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Improved Labeling of Subcortical Brain Structures in Atlas-Based Segmentation of Magnetic Resonance Images.
IEEE Trans. Biomed. Eng., 2012

Bilateral Markov mesh random field and its application to image restoration.
J. Vis. Commun. Image Represent., 2012

Optimal Exposure detection function for digital and smart-phone camera applications.
Proceedings of the IEEE International Conference on Consumer Electronics, 2012

2011
A new auto-focus sharpness function for digital and smart-phone cameras.
IEEE Trans. Consumer Electron., 2011

An auto-focus sharpness function for stereo image pairs.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A new stochastic image model based on Markov random fields and its application to texture modeling.
Proceedings of the IEEE International Conference on Acoustics, 2011

Synthesis of cervical tissue second harmonic generation images using Markov random field modeling.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Linear Prediction of Discrete-Time 1/f Processes.
IEEE Signal Process. Lett., 2010

Symmetric deformable image registration via optimization of information theoretic measures.
Image Vis. Comput., 2010

Facial expression recognition based on diffeomorphic matching.
Proceedings of the International Conference on Image Processing, 2010

2009
Two-stage registration of substrcutures in magnetic resonance brain images.
Proceedings of the International Conference on Image Processing, 2009

2007
Reversible Date Hiding using Multi Level Integer Wavelet Decomposition and Intelligent Coefficient Selection.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

2006
Improving the Security of the Shi Reversible Data Hiding Algorithm.
Proceedings of the 13th IEEE International Conference on Electronics, 2006


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