Müjdat Çetin

Orcid: 0000-0002-9824-1229

According to our database1, Müjdat Çetin authored at least 156 papers between 1997 and 2024.

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Bibliography

2024
A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification.
CoRR, 2024

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition.
CoRR, 2024

2023
The Foundations of Computational Imaging: A signal processing perspective.
IEEE Signal Process. Mag., July, 2023

A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition.
CoRR, 2023

Adversarial Discriminative Domain Adaptation and Transformers for EEG-based Cross-Subject Emotion Recognition.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Ultrasound elasticity reconstruction with inaccurate forward model using integrated data-driven correction of data-fidelity gradient.
Proceedings of the Computational Imaging XXI, San Francisco, 2023

Automatic parameter tuning for plug-and-play algorithms using generalized cross validation and Stein's unbiased risk estimation for linear inverse problems in computational imaging.
Proceedings of the Computational Imaging XXI, San Francisco, 2023

2022
Compressive Synthetic Aperture Radar Imaging and Autofocusing by Augmented Lagrangian Methods.
IEEE Trans. Computational Imaging, 2022

Uncertainty Quantification for Deep Unrolling-Based Computational Imaging.
IEEE Trans. Computational Imaging, 2022

2021
Video-SAR Imaging of Dynamic Scenes Using Low-Rank and Sparse Decomposition.
IEEE Trans. Computational Imaging, 2021

Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors.
IEEE Trans. Computational Imaging, 2021

Online discriminative graph learning from multi-class smooth signals.
Signal Process., 2021

MR Elasticity Reconstruction Using Statistical Physical Modeling and Explicit Data-Driven Denoising Regularizer.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Finite Element Reconstruction of Stiffness Images in MR Elastography Using Statistical Physical Forward Modeling and Proximal Optimization Methods.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

EEG-Based Emotion Classification Using Graph Signal Processing.
Proceedings of the IEEE International Conference on Acoustics, 2021

Ultrasound Elasticity Imaging Using Physics-Based Models and Learning-Based Plug-and-Play Priors.
Proceedings of the IEEE International Conference on Acoustics, 2021

Online Graph Learning under Smoothness Priors.
Proceedings of the 29th European Signal Processing Conference, 2021

Regularization By Adversarial Learning For Ultrasound Elasticity Imaging.
Proceedings of the 29th European Signal Processing Conference, 2021

EEG Emotion Recognition via Graph-based Spatio-Temporal Attention Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging.
Proceedings of the Computational Imaging XIX, Virtual Event, 11-28 January 2021., 2021

2020
Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task.
IEEE J. Biomed. Health Informatics, 2020

Prediction of Motor Imagery Performance based on Pre-Trial Spatio-Spectral Alertness Features.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Compressed Sensing Structured Illumination Microscopy.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Statistical Framework for Model-Based Inverse Problems in Ultrasound Elastography.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors.
IEEE Trans. Image Process., 2019

Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors.
IEEE Trans. Computational Imaging, 2019

Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task.
CoRR, 2019

Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images.
CoRR, 2019

Context-Aware Confidence Sets for Fine-Grained Product Recognition.
IEEE Access, 2019

Neural Signatures of Motor Skill in the Resting Brain.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models.
IEEE Trans. Medical Imaging, 2018

RmSAT-CFAR: Fast and accurate target detection in radar images.
SoftwareX, 2018

Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables.
Digit. Signal Process., 2018

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors.
CoRR, 2018

Electroencephalographic identifiers of reading abilities in turkish language.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Disjunctive Normal Parametric Level Set With Application to Image Segmentation.
IEEE Trans. Image Process., 2017

Nonparametric Joint Shape and Feature Priors for Image Segmentation.
IEEE Trans. Image Process., 2017

Sparse representation-based algorithm for joint SAR image formation and autofocus.
Signal Image Video Process., 2017

SAR moving object imaging using sparsity imposing priors.
EURASIP J. Adv. Signal Process., 2017

SAR imaging of moving targets by subaperture based low-rank and sparse decomposition.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

On comparison of different classification techniques for the fine-grained retail product recognition problem.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

A Markov Chain Monte Carlo based rigid image registration method.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

3B dendritic spine segmentation using nonparametric shape priors.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Retail product recognition with a graphical shelf model.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Coupled shape priors for dynamic segmentation of dendritic spines.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Disjunctive Normal Shape Boltzmann Machine.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity.
Proceedings of the From Vision to Reality, 2017

2016
An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging.
IEEE Trans. Computational Imaging, 2016

Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization.
IEEE J. Sel. Top. Signal Process., 2016

Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces.
CoRR, 2016

Resting-state EEG correlates of motor learning performance in a force-field adaptation task.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Classification of motor task execution speed from EEG data.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Detection of motor task difficulty level from EEG data.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Dendritic spine classification based on two-photon microscopic images using sparse representation.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Disjunctive normal unsupervised LDA for P300-based brain-computer interfaces.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Context-aware hybrid classification system for fine-grained retail product recognition.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Dendritic spine shape analysis using disjunctive normal shape models.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

On comparison of manifold learning techniques for dendritic spine classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Nonparametric joint shape and feature priors for segmentation of dendritic spines.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Disjunctive normal level set: An efficient parametric implicit method.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Dendritic Spine Shape Analysis: A Clustering Perspective.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
On the Quality and Timeliness of Fusion in a Random Access Sensor Network.
IEEE Signal Process. Lett., 2015

Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks.
Comput. Vis. Image Underst., 2015

Semi-supervised adaptation of motor imagery based BCI systems.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Sparsity-driven SAR image reconstruction via low-rank sparse matrix decomposition.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Adaptive neurofeedback on parieto-occipital cortex for motor learning performance.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Automated dendritic spine tracking on 2-photon microscopic images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Dendritic spine shape classification from two-photon microscopy images.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Information-theoretic noisy band detection in hyperspectral imagery.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Disjunctive normal shape models.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

An Augmented Lagrangian Method for image reconstruction with multiple features.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing.
IEEE Signal Process. Mag., 2014

Combining learning-based intensity distributions with nonparametric shape priors for image segmentation.
Signal Image Video Process., 2014

Feature compression: A framework for multi-view multi-person tracking in visual sensor networks.
J. Vis. Commun. Image Represent., 2014

Optimization of decentralized random field estimation networks under communication constraints through Monte Carlo methods.
Digit. Signal Process., 2014

Dictionary learning-based approach for SAR image reconstruction.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Detection of task difficulty from intention level information in the EEG features.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

An alternating direction method of multipliers for sparse SAR imaging.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

Dictionary learning for sparsity-driven SAR image reconstruction.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Decentralized Human Tracking in Visual Sensor Networks: Using Sparse Representation for Efficient Communication.
Proceedings of the Human Behavior Understanding in Networked Sensing, 2014

2013
Compressed Sensing of Monostatic and Multistatic SAR.
IEEE Geosci. Remote. Sens. Lett., 2013

Multiple Feature-Enhanced SAR Imaging Using Sparsity in Combined Dictionaries.
IEEE Geosci. Remote. Sens. Lett., 2013

Biomedical image time series registration with particle filtering.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

The first Brain-Computer Interface utilizing a Turkish language model.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Control of a BCI-based upper limb rehabilitation system utilizing posterior probabilities.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Interactive ship segmentation in SAR images.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Detection of intention level in response to task difficulty from EEG signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Brain Computer Interface based robotic rehabilitation with online modification of task speed.
Proceedings of the IEEE 13th International Conference on Rehabilitation Robotics, 2013

Incorporation of a language model into a brain computer interface based speller through HMMs.
Proceedings of the IEEE International Conference on Acoustics, 2013

SAR moving target imaging using group sparsity.
Proceedings of the 21st European Signal Processing Conference, 2013

A sparsity-driven approach to multi-camera tracking in visual sensor networks.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012
A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction.
IEEE Trans. Image Process., 2012

Special Issue on Awards from ICPR 2010.
Pattern Recognit. Lett., 2012

Segmentation of inhomogeneous foreground and background intensity objects using a probability density function based data term and nonparametric shape priors.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Automatic and semi-automatic extraction of curvilinear features from SAR images.
Proceedings of the SAR Image Analysis, 2012

2011
Monte Carlo Optimization of Decentralized Estimation Networks Over Directed Acyclic Graphs Under Communication Constraints.
IEEE Trans. Signal Process., 2011

Parameter Selection in Sparsity-Driven SAR Imaging.
IEEE Trans. Aerosp. Electron. Syst., 2011

A graphical model based solution to the facial feature point tracking problem.
Image Vis. Comput., 2011

Sparsity-driven image formation and space-variant focusing for SAR.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A group sparsity-driven approach to 3-D action recognition.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Hidden conditional random fields for classification of imaginary motor tasks from EEG data.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Sparsity and Compressed Sensing in Radar Imaging.
Proc. IEEE, 2010

Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL - A Quantitative Approach.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Design, Implementation and Evaluation of a Real-Time P300-based Brain-Computer Interface System.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Joint sparsity-driven inversion and model error correction for radar imaging.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Automatic Annotation of X-Ray Images: A Study on Attribute Selection.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2009

Volumetric Segmentation of Multiple Basal Ganglia Structures using Nonparametric Coupled shape and Inter-Shape Pose Priors.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

An efficient message passing algorithm for multi-target tracking.
Proceedings of the 12th International Conference on Information Fusion, 2009

An efficient Monte Carlo approach for optimizing communication constrained decentralized estimation networks.
Proceedings of the 17th European Signal Processing Conference, 2009

Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Automated X-Ray Image Annotation - Single versus Ensemble of Support Vector Machines.
Proceedings of the Multilingual Information Access Evaluation II. Multimedia Experiments, 2009

Multi-object segmentation using coupled nonparametric shape and relative pose priors.
Proceedings of the Computational Imaging VII, 2009

2008
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar.
IEEE Trans. Signal Process., 2008

Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects.
IEEE Trans. Image Process., 2008

Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Segmentation of the evolving left ventricle by learning the dynamics.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Nonparametric shape priors for active contour-based image segmentation.
Signal Process., 2007

Drowsy Driver Detection Through Facial Movement Analysis.
Proceedings of the Human-Computer Interaction, 2007

Shape and data driven texture segmentation using local binary patterns.
Proceedings of the 15th European Signal Processing Conference, 2007

Data Mining Spontaneous Facial Behavior with Automatic Expression Coding.
Proceedings of the Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, 2007

2006
Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture.
IEEE Trans. Geosci. Remote. Sens., 2006

Distributed fusion in sensor networks.
IEEE Signal Process. Mag., 2006

Data association based on optimization in graphical models with application to sensor networks.
Math. Comput. Model., 2006

Sparsity-Driven Sparse-Aperture Ultrasound Imaging.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
A sparse signal reconstruction perspective for source localization with sensor arrays.
IEEE Trans. Signal Process., 2005

A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution.
IEEE Trans. Image Process., 2005

Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images.
Proceedings of the Information Processing in Medical Imaging, 2005

Homotopy continuation for sparse signal representation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Semi-blind sparse channel estimation with constant modulus symbols.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Optimal sparse representations in general overcomplete bases.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
A Unified Variational Approach to Denoising and Bias Correction in MR.
Proceedings of the Information Processing in Medical Imaging, 2003

Incorporating complex statistical information in active contour-based image segmentation.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
A curve evolution-based variational approach to simultaneous image restoration and segmentation.
Proceedings of the 2002 International Conference on Image Processing, 2002

Nonparametric methods for image segmentation using information theory and curve evolution.
Proceedings of the 2002 International Conference on Image Processing, 2002

Edge-preserving image reconstruction for coherent imaging applications.
Proceedings of the 2002 International Conference on Image Processing, 2002

A variational technique for source localization based on a sparse signal reconstruction perspective.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization.
IEEE Trans. Image Process., 2001

2000
Superresolution and Edge-Preserving Reconstruction of Complex-Valued Synthetic Aperture Radar Images.
Proceedings of the 2000 International Conference on Image Processing, 2000

Enhanced, high resolution radar imaging based on robust regularization.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
A Criteria-Based Approach to Grasp Synthesis.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

1998
A Statistical Method for Discrimination of Natural Terrain Types from SAR Data.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
A Statistical Tomographic Approach to Synthetic Aperture Radar Image Reconstruction.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997


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