Improving the Security of the Shi Reversible Data Hiding Algorithm. - Siamak Yousefi; Hamid Reza Rabiee; Ebrahim Yousefi; Mohammed Ghanbari 001 (ICECS, 2006)

Reversible Date Hiding using Multi Level Integer Wavelet Decomposition and Intelligent Coefficient Selection. - Siamak Yousefi; Hamid R. Rabiee; Ebrahim Yousefi; Mohammed Ghanbari 001 (ICME, 2007)

Two-stage registration of substrcutures in magnetic resonance brain images. - Siamak Yousefi; Nasser Kehtarnavaz; Kaundinya S. Gopinath; Richard W. Briggs (ICIP, 2009)

Facial expression recognition based on diffeomorphic matching. - Siamak Yousefi; Minh Phuoc Nguyen; Nasser Kehtarnavaz; Yan Cao (ICIP, 2010)

Symmetric deformable image registration via optimization of information theoretic measures. - Ali Gholipour; Nasser Kehtarnavaz; Siamak Yousefi; Kaundinya S. Gopinath; Richard W. Briggs (Image Vis. Comput., 2010)

Linear Prediction of Discrete-Time 1/f Processes. - Siamak Yousefi; Joakim Jaldén; Thomas Eriksson (IEEE Signal Process. Lett., 2010)

Synthesis of cervical tissue second harmonic generation images using Markov random field modeling. - Siamak Yousefi; Nasser Kehtarnavaz; Ali Gholipour (EMBC, 2011)

A new stochastic image model based on Markov random fields and its application to texture modeling. - Siamak Yousefi; Nasser Kehtarnavaz (ICASSP, 2011)

An auto-focus sharpness function for stereo image pairs. - Mohammad Tauhidur Rahman 001; Nasser Kehtarnavaz; Siamak Yousefi (ICIP, 2011)

A new auto-focus sharpness function for digital and smart-phone cameras. - Siamak Yousefi; Mohammad Tauhidur Rahman 001; Nasser Kehtarnavaz (IEEE Trans. Consumer Electron., 2011)

Optimal Exposure detection function for digital and smart-phone camera applications. - Siamak Yousefi; Hamid R. Rabiee; P. Mianjy (ICCE, 2012)

Bilateral Markov mesh random field and its application to image restoration. - Siamak Yousefi; Nasser Kehtarnavaz; Yan Cao; Qolamreza R. Razlighi (J. Vis. Commun. Image Represent., 2012)

Improved Labeling of Subcortical Brain Structures in Atlas-Based Segmentation of Magnetic Resonance Images. - Siamak Yousefi; Nasser Kehtarnavaz; Ali Gholipour (IEEE Trans. Biomed. Eng., 2012)

Low-complexity variable forgetting factor constant modulus RLS-based algorithm for blind adaptive beamforming. - Boya Qin; Yunlong Cai; Benoît Champagne 001; Minjian Zhao 001; Siamak Yousefi (ACSSC, 2013)

A joint localization and synchronization technique using time of arrival at multiple antenna receivers. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (ACSSC, 2013)

Evaluating similarity measures for brain image registration. - Qolamreza R. Razlighi; Nasser Kehtarnavaz; Siamak Yousefi (J. Vis. Commun. Image Represent., 2013)

Computationally Tractable Stochastic Image Modeling Based on Symmetric Markov Mesh Random Fields. - Siamak Yousefi; Nasser Kehtarnavaz; Yan Cao (IEEE Trans. Image Process., 2013)

Recognizing patterns of visual field loss using unsupervised machine learning. - Siamak Yousefi; Michael H. Goldbaum; Linda M. Zangwill; Felipe A. Medeiros; Christopher Bowd (Image Processing, 2014)

Cooperative localization of mobile nodes in NLOS. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (PIMRC, 2014)

Distributed cooperative localization in wireless sensor networks without NLOS identification. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (WPNC, 2014)

Optimization method to reduce blocking artifacts in JPEG images. - Reza Pourreza-Shahri; Siamak Yousefi; Nasser Kehtarnavaz (J. Electronic Imaging, 2014)

A gradient-based optimization approach for reduction of blocking artifacts in JPEG images. - Reza Pourreza-Shahri; Siamak Yousefi; Nasser Kehtarnavaz (Signal Process. Image Commun., 2014)

Glaucoma Progression Detection Using Structural Retinal Nerve Fiber Layer Measurements and Functional Visual Field Points. - Siamak Yousefi; Michael H. Goldbaum; Madhusudhanan Balasubramanian; Tzyy-Ping Jung; Robert N. Weinreb; Felipe A. Medeiros; Linda M. Zangwill; Jeffrey M. Liebmann; Christopher A. Girkin; Christopher Bowd (IEEE Trans. Biomed. Eng., 2014)

Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements. - Siamak Yousefi; Michael H. Goldbaum; Madhusudhanan Balasubramanian; Felipe A. Medeiros; Linda M. Zangwill; Jeffrey M. Liebmann; Christopher A. Girkin; Robert N. Weinreb; Christopher Bowd (IEEE Trans. Biomed. Eng., 2014)

Vessel Delineation in Retinal Images using Leung-Malik filters and Two Levels Hierarchical Learning. - Ehsan Shahrian Varnousfaderani; Siamak Yousefi; Christopher Bowd; Akram Belghith; Michael H. Goldbaum (AMIA, 2015)

RSSI Localization with Gaussian Processes and Tracking. - Marzieh Dashti; Simon Yiu; Siamak Yousefi; Fernando Pérez-Cruz; Holger Claussen 001 (GLOBECOM Workshops, 2015)

Sensor localization in NLOS environments with anchor uncertainty and unknown clock parameters. - Siamak Yousefi; Reza Monir Vaghefi; Xiao-Wen Chang; Benoît Champagne 001; R. Michael Buehrer (ICC Workshops, 2015)

Detecting glaucomatous change in visual fields: Analysis with an optimization framework. - Siamak Yousefi; Michael H. Goldbaum; Ehsan Shahrian Varnousfaderani; Akram Belghith; Tzyy-Ping Jung; Felipe A. Medeiros; Linda M. Zangwill; Robert N. Weinreb; Jeffrey M. Liebmann; Christopher A. Girkin; Christopher Bowd (J. Biomed. Informatics, 2015)

Mobile Localization in Non-Line-of-Sight Using Constrained Square-Root Unscented Kalman Filter. - Siamak Yousefi; Xiao-Wen Chang; Benoît Champagne 001 (IEEE Trans. Veh. Technol., 2015)

Luminosity and contrast normalization in color retinal images based on standard reference image. - Ehsan Shahrian Varnousfaderani; Siamak Yousefi; Akram Belghith; Michael H. Goldbaum (Image Processing, 2016)

A Look at the Recent Wireless Positioning Techniques With a Focus on Algorithms for Moving Receivers. - Ashraf A. Tahat; Georges Kaddoum; Siamak Yousefi; Shahrokh Valaee; François Gagnon (IEEE Access, 2016)

Tight Two-Dimensional Outer-Approximations of Feasible Sets in Wireless Sensor Networks. - Siamak Yousefi; Henk Wymeersch; Xiao-Wen Chang; Benoît Champagne 001 (IEEE Commun. Lett., 2016)

A Survey on Behavior Recognition Using WiFi Channel State Information. - Siamak Yousefi; Hirokazu Narui; Sankalp Dayal; Stefano Ermon; Shahrokh Valaee (IEEE Commun. Mag., 2017)

A Survey of Human Activity Recognition Using WiFi CSI. - Siamak Yousefi; Hirokazu Narui; Sankalp Dayal; Stefano Ermon; Shahrokh Valaee (CoRR, 2017)

Automated Glaucoma Diagnosis Using Deep and Transfer Learning: Proposal of a System for Clinical Testing. - Mohammad Norouzifard; Ali Nemati; Hamid Gholamhosseini; Reinhard Klette; Kouros Nouri-Mahdavi; Siamak Yousefi (IVCNZ, 2018)

Glaucoma Monitoring Using Manifold Learning and Unsupervised Clustering. - Siamak Yousefi; Tobias Elze; Louis R. Pasquale; Michael V. Boland (IVCNZ, 2018)

Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization. - Hiroki Sugiura; Taichi Kiwaki; Siamak Yousefi; Hiroshi Murata; Ryo Asaoka; Kenji Yamanishi (KDD, 2018)

A novel approach for ellipsoidal outer-approximation of the intersection region of ellipses in the plane. - Siamak Yousefi; Xiao-Wen Chang; Henk Wymeersch; Benoît Champagne 001; Godfried Toussaint (Comput. Optim. Appl., 2018)

Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis. - Sidharth Mahotra; Mengyu Wang 001; Tobias Elze; Michael V. Boland; Louis R. Pasquale; Juleke Majoor; Koen A. Vermeer; Chris Johnson; Kouros Nouri-Mahdavi; Hans G. Lemij; Michael H. Goldbaum; Siamak Yousefi (IEEE BigData, 2020)

Glaucoma Precognition: Recognizing Preclinical Visual Functional Signs of Glaucoma. - Krati Gupta; Anshul Thakur; Michael H. Goldbaum; Siamak Yousefi (CVPR Workshops, 2020)

Detecting Keratoconus From Corneal Imaging Data Using Machine Learning. - Alexandru Lavric; Valentin Popa; Hidenori Takahashi; Siamak Yousefi (IEEE Access, 2020)

Glaucoma Precognition Based on Confocal Scanning Laser Ophthalmoscopy Images of the Optic Disc Using Convolutional Neural Network. - Krati Gupta; Michael H. Goldbaum; Siamak Yousefi (CVPR Workshops, 2021)

Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification. - Yeganeh Madadi; Vahid Seydi; Jian Sun; Edward Chaum; Siamak Yousefi (OMIA@MICCAI, 2021)

Keratoconus Severity Detection From Elevation, Topography and Pachymetry Raw Data Using a Machine Learning Approach. - Alexandru Lavric; Liliana Anchidin; Valentin Popa; Ali H. Al-Timemy; Zaid Abdi Alkareem Alyasseri; Hidenori Takahashi; Siamak Yousefi; Rossen M. Hazarbassanov (IEEE Access, 2021)

Detecting retinal neural and stromal cell classes and ganglion cell subtypes based on transcriptome data with deep transfer learning. - Yeganeh Madadi; Jian Sun; Hao Chen 007; Robert W. Williams; Siamak Yousefi (Bioinform., 2022)

Contrastive Learning Driven Self-Supervised Framework for Segmentation of Biomarker of Diabetic Macular Edema. - Hina Raja; Taimur Hassan; Bilal Hassan; Naoufel Werghi; Hira Raja; Siamak Yousefi (CIVEMSA, 2023)

Using Large Language Models to Automate Category and Trend Analysis of Scientific Articles: An Application in Ophthalmology. - Hina Raja; Asim Munawar; Mohammad Delsoz; Mohammad Elahi; Yeganeh Madadi; Amr Hassan; Hashem Abu Serhan; Onur Inam; Luis Hermandez; Sang Tran; Wuqas Munir; Alaa A. Abd-alrazaq; et al. (CoRR, 2023)

ChatGPT Assisting Diagnosis of Neuro-ophthalmology Diseases Based on Case Reports. - Yeganeh Madadi; Mohammad Delsoz; Priscilla A. Lao; Joseph W. Fong; TJ Hollingsworth; Malik Y. Kahook; Siamak Yousefi (CoRR, 2023)

Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning. - Xiaoqin Huang; Asma Poursoroush; Jian Sun; Michael V. Boland; Chris Johnson; Siamak Yousefi (CoRR, 2023)

A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions. - Hina Raja; Taimur Hassan; Bilal Hassan; Muhammad Usman Akram; Hira Raja; Alaa A. Abd-alrazaq; Siamak Yousefi; Naoufel Werghi (CoRR, 2023)

Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science. - Yeganeh Madadi; Aboozar Monavarfeshani; Hao Chen 007; W. Daniel Stamer; Robert W. Williams; Siamak Yousefi (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Domain Adaptation-Based deep learning model for forecasting and diagnosis of glaucoma disease. - Yeganeh Madadi; Hashem Abu Serhan; Siamak Yousefi (Biomed. Signal Process. Control., 2024)

A comprehensive review of artificial intelligence models for screening major retinal diseases. - Bilal Hassan; Hina Raja; Taimur Hassan; Muhammad Usman Akram; Hira Raja; Alaa A. Abd-alrazaq; Siamak Yousefi; Naoufel Werghi (Artif. Intell. Rev., 2024)