A Statistical Tomographic Approach to Synthetic Aperture Radar Image Reconstruction. - Müjdat Çetin; William Clement Karl (ICIP (1), 1997)

A Statistical Method for Discrimination of Natural Terrain Types from SAR Data. - Müjdat Çetin; William Clement Karl (ICIP (1), 1998)

A Criteria-Based Approach to Grasp Synthesis. - R. D. Hester; Müjdat Çetin; Chetan Kapoor; Delbert Tesar (ICRA, 1999)

Enhanced, high resolution radar imaging based on robust regularization. - Müjdat Çetin; W. Clem Karl (ICASSP, 2000)

Superresolution and Edge-Preserving Reconstruction of Complex-Valued Synthetic Aperture Radar Images. - Müjdat Çetin; William Clement Karl (ICIP, 2000)

Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization. - Müjdat Çetin; William Clement Karl (IEEE Trans. Image Process., 2001)

A variational technique for source localization based on a sparse signal reconstruction perspective. - Müjdat Çetin; Dmitry M. Malioutov; Alan S. Willsky (ICASSP, 2002)

Edge-preserving image reconstruction for coherent imaging applications. - Müjdat Çetin; William Clement Karl; Alan S. Willsky (ICIP (2), 2002)

Nonparametric methods for image segmentation using information theory and curve evolution. - Junmo Kim 004; John W. Fisher III; Anthony J. Yezzi Jr.; Müjdat Çetin; Alan S. Willsky (ICIP (3), 2002)

A curve evolution-based variational approach to simultaneous image restoration and segmentation. - Junmo Kim 004; Andy Tsai; Müjdat Çetin; Alan S. Willsky (ICIP (1), 2002)

Incorporating complex statistical information in active contour-based image segmentation. - Junmo Kim 004; John W. Fisher III; Müjdat Çetin; Anthony J. Yezzi; Alan S. Willsky (ICIP (2), 2003)

A Unified Variational Approach to Denoising and Bias Correction in MR. - Ayres C. Fan; William M. Wells III; John W. Fisher III; Müjdat Çetin; Steven Haker; Robert V. Mulkern; Clare M. Tempany; Alan S. Willsky (IPMI, 2003)

Optimal sparse representations in general overcomplete bases. - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (ICASSP (2), 2004)

Semi-blind sparse channel estimation with constant modulus symbols. - Müjdat Çetin; Brian M. Sadler (ICASSP (3), 2005)

Homotopy continuation for sparse signal representation. - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (ICASSP (5), 2005)

Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images. - Walter Sun; Müjdat Çetin; Raymond C. Chan; Vivek Y. Reddy; Godtfred Holmvang; Venkat Chandar; Alan S. Willsky (IPMI, 2005)

A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution. - Junmo Kim 004; John W. Fisher III; Anthony J. Yezzi; Müjdat Çetin; Alan S. Willsky (IEEE Trans. Image Process., 2005)

A sparse signal reconstruction perspective for source localization with sensor arrays. - Dmitry M. Malioutov; Müjdat Çetin; Alan S. Willsky (IEEE Trans. Signal Process., 2005)

Sparsity-Driven Sparse-Aperture Ultrasound Imaging. - Müjdat Çetin; Emmanuel Bossy; Robin O. Cleveland; W. Clem Karl (ICASSP (2), 2006)

Data association based on optimization in graphical models with application to sensor networks. - Lei Chen; Martin J. Wainwright; Müjdat Çetin; Alan S. Willsky (Math. Comput. Model., 2006)

Distributed fusion in sensor networks. - Müjdat Çetin; Lei Chen; John W. Fisher III; Alexander T. Ihler; Randolph L. Moses; Martin J. Wainwright; Alan S. Willsky (IEEE Signal Process. Mag., 2006)

Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture. - Walter Sun; Müjdat Çetin; W. Carlisle Thacker; Toshio Mike Chin; Alan S. Willsky (IEEE Trans. Geosci. Remote. Sens., 2006)

Data Mining Spontaneous Facial Behavior with Automatic Expression Coding. - Marian Stewart Bartlett; Gwen Littlewort; Esra Vural; Kang Lee; Müjdat Çetin; Aytül Erçil; Javier R. Movellan (COST 2102 Workshop (Patras), 2007)

Shape and data driven texture segmentation using local binary patterns. - Erkin Tekeli; Müjdat Çetin; Aytül Erçil (EUSIPCO, 2007)

Drowsy Driver Detection Through Facial Movement Analysis. - Esra Vural; Müjdat Çetin; Aytül Erçil; Gwen Littlewort; Marian Stewart Bartlett; Javier R. Movellan (ICCV-HCI, 2007)

Nonparametric shape priors for active contour-based image segmentation. - Junmo Kim 004; Müjdat Çetin; Alan S. Willsky (Signal Process., 2007)

Segmentation of the evolving left ventricle by learning the dynamics. - Walter Sun; Müjdat Çetin; Raymond C. Chan; Alan S. Willsky (ISBI, 2008)

Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures. - M. Gökhan Uzunbas; Müjdat Çetin; Gozde B. Unal; Aytül Erçil (ISBI, 2008)

Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects. - Walter Sun; Müjdat Çetin; Raymond C. Chan; Alan S. Willsky (IEEE Trans. Image Process., 2008)

Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar. - Kush R. Varshney; Müjdat Çetin; John W. Fisher III; Alan S. Willsky (IEEE Trans. Signal Process., 2008)

Multi-object segmentation using coupled nonparametric shape and relative pose priors. - Mustafa Gökhan Uzunbas; Octavian Soldea; Müjdat Çetin; Gözde B. Ünal; Aytül Erçil; Devrim Ünay; Ahmet Ekin; Zeynep Firat (Computational Imaging, 2009)

Automated X-Ray Image Annotation - Single versus Ensemble of Support Vector Machines. - Devrim Ünay; Octavian Soldea; Süreyya Özögür-Akyüz; Müjdat Çetin; Aytül Erçil (CLEF (2), 2009)

Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009. - Devrim Ünay; Octavian Soldea; Süreyya Özögür-Akyüz; Müjdat Çetin; Aytül Erçil (CLEF (Working Notes), 2009)

An efficient Monte Carlo approach for optimizing communication constrained decentralized estimation networks. - Murat Uney; Müjdat Çetin (EUSIPCO, 2009)

An efficient message passing algorithm for multi-target tracking. - Zhexu Chen; Lei Chen; Müjdat Çetin; Alan S. Willsky (FUSION, 2009)

Volumetric Segmentation of Multiple Basal Ganglia Structures using Nonparametric Coupled shape and Inter-Shape Pose Priors. - M. Gökhan Uzunbas; Octavian Soldea; Müjdat Çetin; Gozde B. Unal; Aytül Erçil; Devrim Ünay; Ahmet Ekin; Zeynep Firat (ISBI, 2009)

Automatic Annotation of X-Ray Images: A Study on Attribute Selection. - Devrim Ünay; Octavian Soldea; Ahmet Ekin; Müjdat Çetin; Aytül Erçil (MCBR-CDS, 2009)

Joint sparsity-driven inversion and model error correction for radar imaging. - N. Özben Önhon; Müjdat Çetin (ICASSP, 2010)

Design, Implementation and Evaluation of a Real-Time P300-based Brain-Computer Interface System. - Armagan Amcalar; Müjdat Çetin (ICPR, 2010)

AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces. - Ali Ozgur Argunsah; Müjdat Çetin (ICPR, 2010)

Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL - A Quantitative Approach. - Octavian Soldea; Ahmet Ekin; Diana F. Soldea; Devrim Ünay; Müjdat Çetin; Aytül Erçil; Mustafa Gökhan Uzunbas; Zeynep Firat; Mutlu Cihangiroglu (ICPR, 2010)

Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions. - Esra Vural; Marian Stewart Bartlett; Gwen Littlewort; Müjdat Çetin; Aytül Erçil; Javier R. Movellan (ICPR, 2010)

Sparsity and Compressed Sensing in Radar Imaging. - Lee C. Potter; Emre Ertin; Jason T. Parker; Müjdat Çetin (Proc. IEEE, 2010)

Hidden conditional random fields for classification of imaginary motor tasks from EEG data. - Jaime F. Delgado Saa; Müjdat Çetin (EUSIPCO, 2011)

A group sparsity-driven approach to 3-D action recognition. - Serhan Cosar; Müjdat Çetin (ICCV Workshops, 2011)

Sparsity-driven image formation and space-variant focusing for SAR. - N. Özben Önhon; Müjdat Çetin (ICIP, 2011)

A graphical model based solution to the facial feature point tracking problem. - Serhan Cosar; Müjdat Çetin (Image Vis. Comput., 2011)

Parameter Selection in Sparsity-Driven SAR Imaging. - Ozge Batu; Müjdat Çetin (IEEE Trans. Aerosp. Electron. Syst., 2011)

Monte Carlo Optimization of Decentralized Estimation Networks Over Directed Acyclic Graphs Under Communication Constraints. - Murat Üney; Müjdat Çetin (IEEE Trans. Signal Process., 2011)

Automatic and semi-automatic extraction of curvilinear features from SAR images. - Emre Akyilmaz; Osman Erman Okman; Fatih Nar; Müjdat Çetin (SAR, 2012)

Segmentation of inhomogeneous foreground and background intensity objects using a probability density function based data term and nonparametric shape priors. - Abdurrahim Soganli; Mustafa Gökhan Uzunbas; Müjdat Çetin (SIU, 2012)

Special Issue on Awards from ICPR 2010. - Kim Boyer; Müjdat Çetin; Anil K. Jain 001; Seong-Whan Lee (Pattern Recognit. Lett., 2012)

A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction. - N. Özben Önhon; Müjdat Çetin (IEEE Trans. Image Process., 2012)

A sparsity-driven approach to multi-camera tracking in visual sensor networks. - Serhan Cosar; Müjdat Çetin (AVSS, 2013)

SAR moving target imaging using group sparsity. - N. Özben Önhon; Müjdat Çetin (EUSIPCO, 2013)

Incorporation of a language model into a brain computer interface based speller through HMMs. - Cagdas Ulas; Müjdat Çetin (ICASSP, 2013)

Brain Computer Interface based robotic rehabilitation with online modification of task speed. - Mine Sarac; Ela Koyas; Ahmetcan Erdogan; Müjdat Çetin; Volkan Patoglu (ICORR, 2013)

Detection of intention level in response to task difficulty from EEG signals. - Ela Koyas; Elif Hocaoglu; Volkan Patoglu; Müjdat Çetin (MLSP, 2013)

Interactive ship segmentation in SAR images. - Emre Akyilmaz; Can Demirkesen; Fatih Nar; Osman Erman Okman; Müjdat Çetin (SIU, 2013)

A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin (SIU, 2013)

Control of a BCI-based upper limb rehabilitation system utilizing posterior probabilities. - Ela Koyas; Mine Sarac; Ahmetcan Erdogan; Müjdat Çetin; Volkan Patoglu (SIU, 2013)

The first Brain-Computer Interface utilizing a Turkish language model. - Cagdas Ulas; Müjdat Çetin (SIU, 2013)

Biomedical image time series registration with particle filtering. - A. Murat Yagci; Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin; Lale Akarun; Fikret Gürgen (SIU, 2013)

Multiple Feature-Enhanced SAR Imaging Using Sparsity in Combined Dictionaries. - Sadegh Samadi; Müjdat Çetin; Mohammad Ali Masnadi-Shirazi (IEEE Geosci. Remote. Sens. Lett., 2013)

Compressed Sensing of Monostatic and Multistatic SAR. - Ivana Stojanovic; Müjdat Çetin; W. Clem Karl (IEEE Geosci. Remote. Sens. Lett., 2013)

Decentralized Human Tracking in Visual Sensor Networks: Using Sparse Representation for Efficient Communication. - Serhan Cosar; Müjdat Çetin (Human Behavior Understanding in Networked Sensing, 2014)

Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features. - Lavdie Rada; Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin (ICIP, 2014)

Dictionary learning for sparsity-driven SAR image reconstruction. - Abdurrahim Soganli; Müjdat Çetin (ICIP, 2014)

An alternating direction method of multipliers for sparse SAR imaging. - H. Emre Guven; Müjdat Çetin (SIU, 2014)

Detection of task difficulty from intention level information in the EEG features. - Ela Koyas; Elif Hocaoglu; Müjdat Çetin; Volkan Patoglu (SIU, 2014)

Dictionary learning-based approach for SAR image reconstruction. - Abdurrahim Soganli; Müjdat Çetin (SIU, 2014)

Optimization of decentralized random field estimation networks under communication constraints through Monte Carlo methods. - Murat Üney; Müjdat Çetin (Digit. Signal Process., 2014)

Feature compression: A framework for multi-view multi-person tracking in visual sensor networks. - Serhan Cosar; Müjdat Çetin (J. Vis. Commun. Image Represent., 2014)

Combining learning-based intensity distributions with nonparametric shape priors for image segmentation. - Abdurrahim Soganli; Mustafa Gökhan Uzunbas; Müjdat Çetin (Signal Image Video Process., 2014)

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. - Müjdat Çetin; Ivana Stojanovic; N. Özben Önhon; Kush R. Varshney; Sadegh Samadi; William Clement Karl; Alan S. Willsky (IEEE Signal Process. Mag., 2014)

An Augmented Lagrangian Method for image reconstruction with multiple features. - H. Emre Guven; Alper Gungor; Müjdat Çetin (ICIP, 2015)

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (ISBI, 2015)

Disjunctive normal shape models. - Nisha Ramesh; Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (ISBI, 2015)

Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation. - Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (MICCAI (3), 2015)

Information-theoretic noisy band detection in hyperspectral imagery. - Mustafa Ergul; Fatih Nar; Emre Akyilmaz; Nigar Sen; Müjdat Çetin (SIU, 2015)

Dendritic spine shape classification from two-photon microscopy images. - Muhammad Usman Ghani 002; Sumeyra Demir Kanik; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (SIU, 2015)

Automated dendritic spine tracking on 2-photon microscopic images. - Bike Kilic; Lavdie Rada; Ertunc Erdil; Ali Ozgur Argunsah; Müjdat Çetin; Devrim Ünay (SIU, 2015)

Adaptive neurofeedback on parieto-occipital cortex for motor learning performance. - Ozan Özdenizci; Timm Meyer; Müjdat Çetin; Moritz Grosse-Wentrup (SIU, 2015)

Sparsity-driven SAR image reconstruction via low-rank sparse matrix decomposition. - Abdurrahim Soganli; Müjdat Çetin (SIU, 2015)

Semi-supervised adaptation of motor imagery based BCI systems. - Ismail Yilmaz; Sumeyra Demir Kanik; Tolga Tasdizen; Müjdat Çetin (SIU, 2015)

Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. - Serhan Cosar; Müjdat Çetin (Comput. Vis. Image Underst., 2015)

On the Quality and Timeliness of Fusion in a Random Access Sensor Network. - Abdurrahim Soganli; Özgür Erçetin; Müjdat Çetin (IEEE Signal Process. Lett., 2015)

MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Müjdat Çetin; Tolga Tasdizen (CVPR, 2016)

Dendritic Spine Shape Analysis: A Clustering Perspective. - Muhammad Usman Ghani 002; Ertunç Erdil; Sümeyra Demir Kanik; Ali Özgür Argunsah; Anna Felicity Hobbiss; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ECCV Workshops (1), 2016)

Disjunctive normal level set: An efficient parametric implicit method. - Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (ICIP, 2016)

Nonparametric joint shape and feature priors for segmentation of dendritic spines. - Ertunc Erdil; Lavdie Rada; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

On comparison of manifold learning techniques for dendritic spine classification. - Muhammad Usman Ghani 002; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

Dendritic spine shape analysis using disjunctive normal shape models. - Muhammad Usman Ghani 002; Fitsum Mesadi; Sumeyra Demir Kanik; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (ISBI, 2016)

Context-aware hybrid classification system for fine-grained retail product recognition. - Ipek Baz; Erdem Yörük; Müjdat Çetin (IVMSP, 2016)

Disjunctive normal unsupervised LDA for P300-based brain-computer interfaces. - Majed Elwardy; Tolga Tasdizen; Müjdat Çetin (SIU, 2016)

Dendritic spine classification based on two-photon microscopic images using sparse representation. - Muhammad Usman Ghani 002; Sumeyra Demir Kanik; Ali Ozgur Argunsah; Inbal Israely; Devrim Ünay; Müjdat Çetin (SIU, 2016)

Detection of motor task difficulty level from EEG data. - Sezen Yagmur Günay; Elif Hocaoglu; Volkan Patoglu; Müjdat Çetin (SIU, 2016)

Classification of motor task execution speed from EEG data. - Sezen Yagmur Günay; Elif Hocaoglu; Volkan Patoglu; Müjdat Çetin (SIU, 2016)

Resting-state EEG correlates of motor learning performance in a force-field adaptation task. - Ozan Özdenizci; Mustafa Yalcin; Ahmetcan Erdogan; Volkan Patoglu; Moritz Grosse-Wentrup; Müjdat Çetin (SIU, 2016)

Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces. - Jaime Fernando Delgado Saa; Müjdat Çetin (CoRR, 2016)

Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization. - Dmitry M. Malioutov; Aycan A. Corum; Müjdat Çetin (IEEE J. Sel. Top. Signal Process., 2016)

An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging. - H. Emre Guven; Alper Gungor; Müjdat Çetin (IEEE Trans. Computational Imaging, 2016)

Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity. - Ozan Özdenizci; Mustafa Yalcin; Ahmetcan Erdogan; Volkan Patoglu; Moritz Grosse-Wentrup; Müjdat Çetin (GBCIC, 2017)

Disjunctive Normal Shape Boltzmann Machine. - Ertunc Erdil; Fitsum Mesadi; Tolga Tasdizen; Müjdat Çetin (ICASSP, 2017)

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning. - Ozan Özdenizci; Mustafa Yalcin; Ahmetcan Erdogan; Volkan Patoglu; Moritz Grosse-Wentrup; Müjdat Çetin (ICASSP, 2017)

Coupled shape priors for dynamic segmentation of dendritic spines. - Naeimeh Atabakilachini; Ertunc Erdil; Ali Ozgur Argunsah; Lavdie Rada; Devrim Ünay; Müjdat Çetin (SIU, 2017)

Retail product recognition with a graphical shelf model. - Ipek Baz; Erdem Yörük; Müjdat Çetin (SIU, 2017)

3B dendritic spine segmentation using nonparametric shape priors. - Erdem Bocugoz; Ertunc Erdil; Ali Ozgur Argunsah; Devrim Ünay; Müjdat Çetin (SIU, 2017)

A Markov Chain Monte Carlo based rigid image registration method. - Navdar Karabulut; Ertunc Erdil; Müjdat Çetin (SIU, 2017)

On comparison of different classification techniques for the fine-grained retail product recognition problem. - Osman Berk Satir; Ipek Baz; Ertunc Erdil; Müjdat Çetin (SIU, 2017)

SAR imaging of moving targets by subaperture based low-rank and sparse decomposition. - Mubashar Yasin; Müjdat Çetin; Ahmed Shaharyar Khwaja (SIU, 2017)

SAR moving object imaging using sparsity imposing priors. - N. Özben Önhon; Müjdat Çetin (EURASIP J. Adv. Signal Process., 2017)

Sparse representation-based algorithm for joint SAR image formation and autofocus. - Mohammad Javad Hasankhan; Sadegh Samadi; Müjdat Çetin (Signal Image Video Process., 2017)

Nonparametric Joint Shape and Feature Priors for Image Segmentation. - Ertunc Erdil; Muhammad Usman Ghani 002; Lavdie Rada; Ali Ozgur Argunsah; Devrim Ünay; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2017)

Disjunctive Normal Parametric Level Set With Application to Image Segmentation. - Fitsum Mesadi; Müjdat Çetin; Tolga Tasdizen (IEEE Trans. Image Process., 2017)

Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation. - Mehran Javanmardi; Ricardo Bigolin Lanfredi; Müjdat Çetin; Tolga Tasdizen (CVPR Workshops, 2018)

Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback. - Gunet Eroglu; Serap Aydin; Müjdat Çetin; Selim Balcisoy (SIU, 2018)

Electroencephalographic identifiers of reading abilities in turkish language. - Gunet Eroglu; Müjdat Çetin; Selim Balcisoy (SIU, 2018)

Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (CoRR, 2018)

Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables. - Fatih Nar; Osman Erman Okman; Atilla Özgür; Müjdat Çetin (Digit. Signal Process., 2018)

RmSAT-CFAR: Fast and accurate target detection in radar images. - Fatih Nar; Osman Erman Okman; Atilla Özgür; Müjdat Çetin (SoftwareX, 2018)

Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models. - Fitsum Mesadi; Ertunc Erdil; Müjdat Çetin; Tolga Tasdizen (IEEE Trans. Medical Imaging, 2018)

Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Sara Atito Ali Ahmed; Serap Aydin; Müjdat Çetin (EMBC, 2019)

Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (ISBI, 2019)

Neural Signatures of Motor Skill in the Resting Brain. - Ozan Özdenizci; Timm Meyer; Felix A. Wichmann; Jan Peters 001; Bernhard Schölkopf; Müjdat Çetin; Moritz Grosse-Wentrup (SMC, 2019)

Context-Aware Confidence Sets for Fine-Grained Product Recognition. - Ipek Baz; Erdem Yörük; Müjdat Çetin (IEEE Access, 2019)

Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. - Ertunc Erdil; Ali Ozgur Argunsah; Tolga Tasdizen; Devrim Ünay; Müjdat Çetin (CoRR, 2019)

Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Serap Aydin; Müjdat Çetin (CoRR, 2019)

Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors. - Majid Moradikia; Sadegh Samadi; Müjdat Çetin (IEEE Trans. Computational Imaging, 2019)

Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. - Ertunc Erdil; Sinan Yildirim; Tolga Tasdizen; Müjdat Çetin (IEEE Trans. Image Process., 2019)

A Statistical Framework for Model-Based Inverse Problems in Ultrasound Elastography. - Narges Mohammadi; Marvin M. Doyley; Müjdat Çetin (ACSSC, 2020)

Compressed Sensing Structured Illumination Microscopy. - Baturay Ozgurun; Müjdat Çetin (EMBC, 2020)

Prediction of Motor Imagery Performance based on Pre-Trial Spatio-Spectral Alertness Features. - Mastaneh Torkamani-Azar; Aysa Jafarifarmand; Müjdat Çetin (EMBC, 2020)

Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task. - Mastaneh Torkamani-Azar; Sumeyra Demir Kanik; Serap Aydin; Müjdat Çetin (IEEE J. Biomed. Health Informatics, 2020)

Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging. - Canberk Ekmekci; Müjdat Çetin (Computational Imaging, 2021)

EEG Emotion Recognition via Graph-based Spatio-Temporal Attention Neural Networks. - Shadi Sartipi; Mastaneh Torkamani-Azar; Müjdat Çetin (EMBC, 2021)

Regularization By Adversarial Learning For Ultrasound Elasticity Imaging. - Narges Mohammadi; Marvin M. Doyley; Müjdat Çetin (EUSIPCO, 2021)

Online Graph Learning under Smoothness Priors. - Seyed Saman Saboksayr; Gonzalo Mateos; Müjdat Çetin (EUSIPCO, 2021)

Ultrasound Elasticity Imaging Using Physics-Based Models and Learning-Based Plug-and-Play Priors. - Narges Mohammadi; Marvin M. Doyley; Müjdat Çetin (ICASSP, 2021)

EEG-Based Emotion Classification Using Graph Signal Processing. - Seyed Saman Saboksayr; Gonzalo Mateos; Müjdat Çetin (ICASSP, 2021)

What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty. - Canberk Ekmekci; Müjdat Çetin (ICCVW, 2021)

Finite Element Reconstruction of Stiffness Images in MR Elastography Using Statistical Physical Forward Modeling and Proximal Optimization Methods. - Narges Mohammadi; Marvin M. Doyley; Müjdat Çetin (ISBI, 2021)

MR Elasticity Reconstruction Using Statistical Physical Modeling and Explicit Data-Driven Denoising Regularizer. - Narges Mohammadi; Marvin M. Doyley; Müjdat Çetin (SSP, 2021)

Online discriminative graph learning from multi-class smooth signals. - Seyed Saman Saboksayr; Gonzalo Mateos; Müjdat Çetin (Signal Process., 2021)

Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors. - Muhammed Burak Alver; Ammar Saleem; Müjdat Çetin (IEEE Trans. Computational Imaging, 2021)

Video-SAR Imaging of Dynamic Scenes Using Low-Rank and Sparse Decomposition. - Majid Moradikia; Sadegh Samadi; Hamid Reza Hashempour; Müjdat Çetin (IEEE Trans. Computational Imaging, 2021)

Uncertainty Quantification for Deep Unrolling-Based Computational Imaging. - Canberk Ekmekci; Müjdat Çetin (IEEE Trans. Computational Imaging, 2022)

Compressive Synthetic Aperture Radar Imaging and Autofocusing by Augmented Lagrangian Methods. - Alper Güngör; Müjdat Çetin; H. Emre Güven (IEEE Trans. Computational Imaging, 2022)

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. - Canberk Ekmekci; Müjdat Çetin (Computational Imaging, 2023)

Ultrasound elasticity reconstruction with inaccurate forward model using integrated data-driven correction of data-fidelity gradient. - Narges Mohammadi; Marvin M. Doyley; Müjdat Çetin (Computational Imaging, 2023)

Adversarial Discriminative Domain Adaptation and Transformers for EEG-based Cross-Subject Emotion Recognition. - Shadi Sartipi; Müjdat Çetin (NER, 2023)

A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition. - Shadi Sartipi; Mastaneh Torkamani-Azar; Müjdat Çetin (CoRR, 2023)

The Foundations of Computational Imaging: A signal processing perspective. - W. Clem Karl; James E. Fowler; Charles A. Bouman; Müjdat Çetin; Brendt Wohlberg; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model. - Shadi Sartipi; Müjdat Çetin (EMBC, 2024)

Multi-Source Domain Adaptation with Transformer-Based Feature Generation for Subject-Independent EEG-Based Emotion Recognition. - Shadi Sartipi; Müjdat Çetin (ICASSP, 2024)

Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification. - Shadi Sartipi; Müjdat Çetin (CoRR, 2024)

Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification. - Canberk Ekmekci; Tekin Bicer; Zichao Wendy Di; Junjing Deng; Müjdat Çetin (CoRR, 2024)

LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring. - Shadi Sartipi; Mie Andersen; Natalie Hauglund; Celia Kjaerby; Verena Untiet; Maiken Nedergaard; Müjdat Çetin (CoRR, 2024)

SAR Image Despeckle With CNN Using a Novel Logarithmic Discrete Cosine Transform-Based Loss. - Ammar Saleem; Muhammed Burak Alver; Müjdat Çetin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition. - Shadi Sartipi; Mastaneh Torkamani-Azar; Müjdat Çetin (IEEE Trans. Cogn. Dev. Syst., 2024)

Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging. - Canberk Ekmekci; Müjdat Çetin (CoRR, 2025)