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Journal Articles
- 2024
[j44]Ammar Saleem
, Muhammed Burak Alver, Müjdat Çetin:
SAR Image Despeckle With CNN Using a Novel Logarithmic Discrete Cosine Transform-Based Loss. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15525-15542 (2024)- [j43]Shadi Sartipi, Mastaneh Torkamani-Azar, Müjdat Çetin:
A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 16(2): 732-743 (2024) - 2023
- [j42]W. Clem Karl, James E. Fowler, Charles A. Bouman, Müjdat Çetin, Brendt Wohlberg, Jong Chul Ye:
The Foundations of Computational Imaging: A signal processing perspective. IEEE Signal Process. Mag. 40(5): 40-53 (2023) - 2022
- [j41]Alper Güngör, Müjdat Çetin, H. Emre Güven:
Compressive Synthetic Aperture Radar Imaging and Autofocusing by Augmented Lagrangian Methods. IEEE Trans. Computational Imaging 8: 273-285 (2022) - [j40]Canberk Ekmekci, Müjdat Çetin:
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging. IEEE Trans. Computational Imaging 8: 1195-1209 (2022) - 2021
- [j39]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online discriminative graph learning from multi-class smooth signals. Signal Process. 186: 108101 (2021) - [j38]Muhammed Burak Alver, Ammar Saleem, Müjdat Çetin:
Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors. IEEE Trans. Computational Imaging 7: 43-57 (2021) - [j37]Majid Moradikia, Sadegh Samadi, Hamidreza Hashempour, Müjdat Çetin:
Video-SAR Imaging of Dynamic Scenes Using Low-Rank and Sparse Decomposition. IEEE Trans. Computational Imaging 7: 384-398 (2021) - 2020
- [j36]Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin, Müjdat Çetin:
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 24(9): 2550-2558 (2020) - 2019
- [j35]Ipek Baz, Erdem Yörük, Müjdat Çetin:
Context-Aware Confidence Sets for Fine-Grained Product Recognition. IEEE Access 7: 76376-76393 (2019) - [j34]Majid Moradikia, Sadegh Samadi, Müjdat Çetin:
Joint SAR Imaging and Multi-Feature Decomposition From 2-D Under-Sampled Data Via Low-Rankness Plus Sparsity Priors. IEEE Trans. Computational Imaging 5(1): 1-16 (2019) - [j33]Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Pseudo-Marginal MCMC Sampling for Image Segmentation Using Nonparametric Shape Priors. IEEE Trans. Image Process. 28(11): 5702-5715 (2019) - 2018
- [j32]Fatih Nar, Osman Erman Okman, Atilla Özgür, Müjdat Çetin:
Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables. Digit. Signal Process. 77: 86-101 (2018) - [j31]Fatih Nar, Osman Erman Okman, Atilla Özgür, Müjdat Çetin:
RmSAT-CFAR: Fast and accurate target detection in radar images. SoftwareX 8: 39-42 (2018) - [j30]Fitsum Mesadi, Ertunc Erdil, Müjdat Çetin, Tolga Tasdizen:
Image Segmentation Using Disjunctive Normal Bayesian Shape and Appearance Models. IEEE Trans. Medical Imaging 37(1): 293-305 (2018) - 2017
- [j29]N. Özben Önhon, Müjdat Çetin:
SAR moving object imaging using sparsity imposing priors. EURASIP J. Adv. Signal Process. 2017: 10 (2017) - [j28]Mohammad Javad Hasankhan, Sadegh Samadi, Müjdat Çetin:
Sparse representation-based algorithm for joint SAR image formation and autofocus. Signal Image Video Process. 11(4): 589-596 (2017) - [j27]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Parametric Level Set With Application to Image Segmentation. IEEE Trans. Image Process. 26(6): 2618-2631 (2017) - [j26]Ertunc Erdil, Muhammad Usman Ghani, Lavdie Rada, Ali Ozgur Argunsah, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Nonparametric Joint Shape and Feature Priors for Image Segmentation. IEEE Trans. Image Process. 26(11): 5312-5323 (2017) - 2016
- [j25]Dmitry M. Malioutov, Aycan A. Corum, Müjdat Çetin:
Covariance Matrix Estimation for Interest-Rate Risk Modeling via Smooth and Monotone Regularization. IEEE J. Sel. Top. Signal Process. 10(6): 1006-1014 (2016) - [j24]H. Emre Guven, Alper Gungor, Müjdat Çetin:
An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging. IEEE Trans. Computational Imaging 2(3): 235-250 (2016) - 2015
- [j23]Serhan Cosar, Müjdat Çetin:
Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Comput. Vis. Image Underst. 139: 40-58 (2015) - [j22]Abdurrahim Soganli, Özgür Erçetin, Müjdat Çetin:
On the Quality and Timeliness of Fusion in a Random Access Sensor Network. IEEE Signal Process. Lett. 22(9): 1259-1263 (2015) - 2014
- [j21]Murat Üney, Müjdat Çetin:
Optimization of decentralized random field estimation networks under communication constraints through Monte Carlo methods. Digit. Signal Process. 34: 16-28 (2014) - [j20]Serhan Cosar, Müjdat Çetin:
Feature compression: A framework for multi-view multi-person tracking in visual sensor networks. J. Vis. Commun. Image Represent. 25(5): 864-873 (2014) - [j19]Abdurrahim Soganli, Mustafa Gökhan Uzunbas, Müjdat Çetin:
Combining learning-based intensity distributions with nonparametric shape priors for image segmentation. Signal Image Video Process. 8(4): 789-798 (2014) - [j18]Müjdat Çetin, Ivana Stojanovic, N. Özben Önhon, Kush R. Varshney, Sadegh Samadi, William Clement Karl, Alan S. Willsky:
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. IEEE Signal Process. Mag. 31(4): 27-40 (2014) - 2013
- [j17]Sadegh Samadi, Müjdat Çetin, Mohammad Ali Masnadi-Shirazi:
Multiple Feature-Enhanced SAR Imaging Using Sparsity in Combined Dictionaries. IEEE Geosci. Remote. Sens. Lett. 10(4): 821-825 (2013) - [j16]Ivana Stojanovic, Müjdat Çetin, W. Clem Karl:
Compressed Sensing of Monostatic and Multistatic SAR. IEEE Geosci. Remote. Sens. Lett. 10(6): 1444-1448 (2013) - 2012
- [j15]Kim Boyer, Müjdat Çetin, Anil K. Jain, Seong-Whan Lee:
Special Issue on Awards from ICPR 2010. Pattern Recognit. Lett. 33(7): 808-810 (2012) - [j14]N. Özben Önhon, Müjdat Çetin:
A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction. IEEE Trans. Image Process. 21(4): 2075-2088 (2012) - 2011
- [j13]Serhan Cosar, Müjdat Çetin:
A graphical model based solution to the facial feature point tracking problem. Image Vis. Comput. 29(5): 335-350 (2011) - [j12]Ozge Batu, Müjdat Çetin:
Parameter Selection in Sparsity-Driven SAR Imaging. IEEE Trans. Aerosp. Electron. Syst. 47(4): 3040-3050 (2011) - [j11]Murat Üney, Müjdat Çetin:
Monte Carlo Optimization of Decentralized Estimation Networks Over Directed Acyclic Graphs Under Communication Constraints. IEEE Trans. Signal Process. 59(11): 5558-5576 (2011) - 2010
- [j10]Lee C. Potter, Emre Ertin, Jason T. Parker, Müjdat Çetin:
Sparsity and Compressed Sensing in Radar Imaging. Proc. IEEE 98(6): 1006-1020 (2010) - 2008
- [j9]Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky:
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects. IEEE Trans. Image Process. 17(11): 2186-2200 (2008) - [j8]Kush R. Varshney, Müjdat Çetin, John W. Fisher III, Alan S. Willsky:
Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar. IEEE Trans. Signal Process. 56(8-1): 3548-3561 (2008) - 2007
- [j7]Junmo Kim, Müjdat Çetin, Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation. Signal Process. 87(12): 3021-3044 (2007) - 2006
- [j6]Lei Chen, Martin J. Wainwright, Müjdat Çetin, Alan S. Willsky:
Data association based on optimization in graphical models with application to sensor networks. Math. Comput. Model. 43(9-10): 1114-1135 (2006) - [j5]Müjdat Çetin, Lei Chen, John W. Fisher III, Alexander T. Ihler, Randolph L. Moses, Martin J. Wainwright, Alan S. Willsky:
Distributed fusion in sensor networks. IEEE Signal Process. Mag. 23(4): 42-55 (2006) - [j4]Walter Sun, Müjdat Çetin, W. Carlisle Thacker, Toshio Mike Chin, Alan S. Willsky:
Variational approaches on discontinuity localization and field estimation in sea surface temperature and soil moisture. IEEE Trans. Geosci. Remote. Sens. 44(2): 336-350 (2006) - 2005
- [j3]Junmo Kim, John W. Fisher III, Anthony J. Yezzi, Müjdat Çetin, Alan S. Willsky:
A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution. IEEE Trans. Image Process. 14(10): 1486-1502 (2005) - [j2]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Trans. Signal Process. 53(8-2): 3010-3022 (2005) - 2001
- [j1]Müjdat Çetin, William Clement Karl:
Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization. IEEE Trans. Image Process. 10(4): 623-631 (2001)
Conference and Workshop Papers
- 2024
- [c107]Shadi Sartipi, Müjdat Çetin:
Multi-Source Domain Adaptation with Transformer-Based Feature Generation for Subject-Independent EEG-Based Emotion Recognition. ICASSP 2024: 2086-2090 - 2023
- [c106]Canberk Ekmekci, Müjdat Çetin:
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. Computational Imaging 2023: 170-1 - [c105]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Ultrasound elasticity reconstruction with inaccurate forward model using integrated data-driven correction of data-fidelity gradient. Computational Imaging 2023: 171-1 - [c104]Shadi Sartipi, Müjdat Çetin:
Adversarial Discriminative Domain Adaptation and Transformers for EEG-based Cross-Subject Emotion Recognition. NER 2023: 1-4 - 2021
- [c103]Canberk Ekmekci, Müjdat Çetin:
Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging. Computational Imaging 2021 - [c102]Shadi Sartipi, Mastaneh Torkamani-Azar, Müjdat Çetin:
EEG Emotion Recognition via Graph-based Spatio-Temporal Attention Neural Networks. EMBC 2021: 571-574 - [c101]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Regularization By Adversarial Learning For Ultrasound Elasticity Imaging. EUSIPCO 2021: 611-615 - [c100]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. EUSIPCO 2021: 1820-1824 - [c99]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
EEG-Based Emotion Classification Using Graph Signal Processing. ICASSP 2021: 1065-1069 - [c98]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Ultrasound Elasticity Imaging Using Physics-Based Models and Learning-Based Plug-and-Play Priors. ICASSP 2021: 1165-1169 - [c97]Canberk Ekmekci, Müjdat Çetin:
What Does Your Computational Imaging Algorithm Not Know?: A Plug-and-Play Model Quantifying Model Uncertainty. ICCVW 2021: 4001-4010 - [c96]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
Finite Element Reconstruction of Stiffness Images in MR Elastography Using Statistical Physical Forward Modeling and Proximal Optimization Methods. ISBI 2021: 200-203 - [c95]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
MR Elasticity Reconstruction Using Statistical Physical Modeling and Explicit Data-Driven Denoising Regularizer. SSP 2021: 496-500 - 2020
- [c94]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
A Statistical Framework for Model-Based Inverse Problems in Ultrasound Elastography. ACSSC 2020: 1395-1399 - [c93]Baturay Ozgurun, Müjdat Çetin:
Compressed Sensing Structured Illumination Microscopy. EMBC 2020: 1828-1831 - [c92]Mastaneh Torkamani-Azar, Aysa Jafarifarmand, Müjdat Çetin:
Prediction of Motor Imagery Performance based on Pre-Trial Spatio-Spectral Alertness Features. EMBC 2020: 3062-3065 - 2019
- [c91]Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Sara Atito Ali Ahmed, Serap Aydin, Müjdat Çetin:
Prediction of Response Time and Vigilance Score in a Sustained Attention Task from Pre-trial Phase Synchrony using Deep Neural Networks. EMBC 2019: 676-679 - [c90]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. ISBI 2019: 204-207 - [c89]Ozan Özdenizci, Timm Meyer, Felix A. Wichmann, Jan Peters, Bernhard Schölkopf, Müjdat Çetin, Moritz Grosse-Wentrup:
Neural Signatures of Motor Skill in the Resting Brain. SMC 2019: 4387-4394 - 2018
- [c88]Mehran Javanmardi, Ricardo Bigolin Lanfredi, Müjdat Çetin, Tolga Tasdizen:
Image Segmentation by Deep Learning of Disjunctive Normal Shape Model Shape Representation. CVPR Workshops 2018: 375-382 - [c87]Gunet Eroglu, Serap Aydin, Müjdat Çetin, Selim Balcisoy:
Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback. SIU 2018: 1-4 - [c86]Gunet Eroglu, Müjdat Çetin, Selim Balcisoy:
Electroencephalographic identifiers of reading abilities in turkish language. SIU 2018: 1-4 - 2017
- [c85]Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin:
Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity. GBCIC 2017 - [c84]Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin:
Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning. ICASSP 2017: 934-938 - [c83]Ertunc Erdil, Fitsum Mesadi, Tolga Tasdizen, Müjdat Çetin:
Disjunctive Normal Shape Boltzmann Machine. ICASSP 2017: 2357-2361 - [c82]Naeimeh Atabakilachini, Ertunc Erdil, Ali Ozgur Argunsah, Lavdie Rada, Devrim Ünay, Müjdat Çetin:
Coupled shape priors for dynamic segmentation of dendritic spines. SIU 2017: 1-4 - [c81]Ipek Baz, Erdem Yörük, Müjdat Çetin:
Retail product recognition with a graphical shelf model. SIU 2017: 1-4 - [c80]Erdem Bocugoz, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin:
3B dendritic spine segmentation using nonparametric shape priors. SIU 2017: 1-4 - [c79]Navdar Karabulut, Ertunc Erdil, Müjdat Çetin:
A Markov Chain Monte Carlo based rigid image registration method. SIU 2017: 1-4 - [c78]Osman Berk Satir, Ipek Baz, Ertunc Erdil, Müjdat Çetin:
On comparison of different classification techniques for the fine-grained retail product recognition problem. SIU 2017: 1-4 - [c77]Mubashar Yasin, Müjdat Çetin, Ahmed Shaharyar Khwaja:
SAR imaging of moving targets by subaperture based low-rank and sparse decomposition. SIU 2017: 1-4 - 2016
- [c76]Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen:
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CVPR 2016: 411-419 - [c75]Muhammad Usman Ghani, Ertunç Erdil, Sümeyra Demir Kanik, Ali Özgür Argunsah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic Spine Shape Analysis: A Clustering Perspective. ECCV Workshops (1) 2016: 256-273 - [c74]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive normal level set: An efficient parametric implicit method. ICIP 2016: 4299-4303 - [c73]Muhammad Usman Ghani, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
On comparison of manifold learning techniques for dendritic spine classification. ISBI 2016: 339-342 - [c72]Ertunc Erdil, Lavdie Rada, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Nonparametric joint shape and feature priors for segmentation of dendritic spines. ISBI 2016: 343-346 - [c71]Muhammad Usman Ghani, Fitsum Mesadi, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic spine shape analysis using disjunctive normal shape models. ISBI 2016: 347-350 - [c70]Ipek Baz, Erdem Yörük, Müjdat Çetin:
Context-aware hybrid classification system for fine-grained retail product recognition. IVMSP 2016: 1-5 - [c69]Sezen Yagmur Günay, Elif Hocaoglu, Volkan Patoglu, Müjdat Çetin:
Detection of motor task difficulty level from EEG data. SIU 2016: 969-972 - [c68]Muhammad Usman Ghani, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Inbal Israely, Devrim Ünay, Müjdat Çetin:
Dendritic spine classification based on two-photon microscopic images using sparse representation. SIU 2016: 1177-1180 - [c67]Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin:
Resting-state EEG correlates of motor learning performance in a force-field adaptation task. SIU 2016: 2253-2256 - [c66]Sezen Yagmur Günay, Elif Hocaoglu, Volkan Patoglu, Müjdat Çetin:
Classification of motor task execution speed from EEG data. SIU 2016: 2257-2260 - [c65]Majed Elwardy, Tolga Tasdizen, Müjdat Çetin:
Disjunctive normal unsupervised LDA for P300-based brain-computer interfaces. SIU 2016: 2261-2264 - 2015
- [c64]H. Emre Guven, Alper Gungor, Müjdat Çetin:
An Augmented Lagrangian Method for image reconstruction with multiple features. ICIP 2015: 4175-4179 - [c63]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. ISBI 2015: 797-800 - [c62]Nisha Ramesh, Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive normal shape models. ISBI 2015: 1535-1539 - [c61]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation. MICCAI (3) 2015: 703-710 - [c60]Muhammad Usman Ghani, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Dendritic spine shape classification from two-photon microscopy images. SIU 2015: 939-942 - [c59]Ozan Özdenizci, Timm Meyer, Müjdat Çetin, Moritz Grosse-Wentrup:
Adaptive neurofeedback on parieto-occipital cortex for motor learning performance. SIU 2015: 1837-1840 - [c58]Ismail Yilmaz, Sumeyra Demir Kanik, Tolga Tasdizen, Müjdat Çetin:
Semi-supervised adaptation of motor imagery based BCI systems. SIU 2015: 1841-1844 - [c57]Bike Kilic, Lavdie Rada, Ertunc Erdil, Ali Ozgur Argunsah, Müjdat Çetin, Devrim Ünay:
Automated dendritic spine tracking on 2-photon microscopic images. SIU 2015: 1873-1876 - [c56]Abdurrahim Soganli, Müjdat Çetin:
Sparsity-driven SAR image reconstruction via low-rank sparse matrix decomposition. SIU 2015: 2333-2336 - [c55]Mustafa Ergul, Fatih Nar, Emre Akyilmaz, Nigar Sen, Müjdat Çetin:
Information-theoretic noisy band detection in hyperspectral imagery. SIU 2015: 2635-2638 - 2014
- [c54]Lavdie Rada, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin:
Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features. ICIP 2014: 26-30 - [c53]Abdurrahim Soganli, Müjdat Çetin:
Dictionary learning for sparsity-driven SAR image reconstruction. ICIP 2014: 1693-1697 - [c52]H. Emre Guven, Müjdat Çetin:
An alternating direction method of multipliers for sparse SAR imaging. SIU 2014: 666-669 - [c51]Ela Koyas, Elif Hocaoglu, Müjdat Çetin, Volkan Patoglu:
Detection of task difficulty from intention level information in the EEG features. SIU 2014: 1873-1876 - [c50]Abdurrahim Soganli, Müjdat Çetin:
Dictionary learning-based approach for SAR image reconstruction. SIU 2014: 2098-2101 - 2013
- [c49]Serhan Cosar, Müjdat Çetin:
A sparsity-driven approach to multi-camera tracking in visual sensor networks. AVSS 2013: 407-413 - [c48]N. Özben Önhon, Müjdat Çetin:
SAR moving target imaging using group sparsity. EUSIPCO 2013: 1-5 - [c47]Cagdas Ulas, Müjdat Çetin:
Incorporation of a language model into a brain computer interface based speller through HMMs. ICASSP 2013: 1138-1142 - [c46]Mine Sarac, Ela Koyas, Ahmetcan Erdogan, Müjdat Çetin, Volkan Patoglu:
Brain Computer Interface based robotic rehabilitation with online modification of task speed. ICORR 2013: 1-7 - [c45]Ela Koyas, Elif Hocaoglu, Volkan Patoglu, Müjdat Çetin:
Detection of intention level in response to task difficulty from EEG signals. MLSP 2013: 1-6 - [c44]Emre Akyilmaz, Can Demirkesen, Fatih Nar, Osman Erman Okman, Müjdat Çetin:
Interactive ship segmentation in SAR images. SIU 2013: 1-4 - [c43]Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin:
A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images. SIU 2013: 1-4 - [c42]Ela Koyas, Mine Sarac, Ahmetcan Erdogan, Müjdat Çetin, Volkan Patoglu:
Control of a BCI-based upper limb rehabilitation system utilizing posterior probabilities. SIU 2013: 1-4 - [c41]Cagdas Ulas, Müjdat Çetin:
The first Brain-Computer Interface utilizing a Turkish language model. SIU 2013: 1-4 - [c40]A. Murat Yagci, Ertunc Erdil, Ali Ozgur Argunsah, Devrim Ünay, Müjdat Çetin, Lale Akarun, Fikret Gürgen:
Biomedical image time series registration with particle filtering. SIU 2013: 1-4 - 2012
- [c39]Emre Akyilmaz, Osman Erman Okman, Fatih Nar, Müjdat Çetin:
Automatic and semi-automatic extraction of curvilinear features from SAR images. SAR 2012: 853617 - [c38]Abdurrahim Soganli, Mustafa Gökhan Uzunbas, Müjdat Çetin:
Segmentation of inhomogeneous foreground and background intensity objects using a probability density function based data term and nonparametric shape priors. SIU 2012: 1-4 - 2011
- [c37]Jaime F. Delgado Saa, Müjdat Çetin:
Hidden conditional random fields for classification of imaginary motor tasks from EEG data. EUSIPCO 2011: 171-175 - [c36]Serhan Cosar, Müjdat Çetin:
A group sparsity-driven approach to 3-D action recognition. ICCV Workshops 2011: 1904-1911 - [c35]N. Özben Önhon, Müjdat Çetin:
Sparsity-driven image formation and space-variant focusing for SAR. ICIP 2011: 173-176 - 2010
- [c34]N. Özben Önhon, Müjdat Çetin:
Joint sparsity-driven inversion and model error correction for radar imaging. ICASSP 2010: 1206-1209 - [c33]Ali Ozgur Argunsah, Müjdat Çetin:
AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces. ICPR 2010: 113-116 - [c32]Armagan Amcalar, Müjdat Çetin:
Design, Implementation and Evaluation of a Real-Time P300-based Brain-Computer Interface System. ICPR 2010: 117-120 - [c31]Octavian Soldea, Ahmet Ekin, Diana F. Soldea, Devrim Ünay, Müjdat Çetin, Aytül Erçil, Mustafa Gökhan Uzunbas, Zeynep Firat, Mutlu Cihangiroglu:
Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL - A Quantitative Approach. ICPR 2010: 2592-2595 - [c30]Esra Vural, Marian Stewart Bartlett, Gwen Littlewort, Müjdat Çetin, Aytül Erçil, Javier R. Movellan:
Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions. ICPR 2010: 3874-3877 - 2009
- [c29]Mustafa Gökhan Uzunbas, Octavian Soldea, Müjdat Çetin, Gözde B. Ünal, Aytül Erçil, Devrim Ünay, Ahmet Ekin, Zeynep Firat:
Multi-object segmentation using coupled nonparametric shape and relative pose priors. Computational Imaging 2009: 72460 - [c28]Devrim Ünay, Octavian Soldea, Süreyya Özögür-Akyüz, Müjdat Çetin, Aytül Erçil:
Automated X-Ray Image Annotation - Single versus Ensemble of Support Vector Machines. CLEF (2) 2009: 247-254 - [c27]Devrim Ünay, Octavian Soldea, Süreyya Özögür-Akyüz, Müjdat Çetin, Aytül Erçil:
Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009. CLEF (Working Notes) 2009 - [c26]Murat Uney, Müjdat Çetin:
An efficient Monte Carlo approach for optimizing communication constrained decentralized estimation networks. EUSIPCO 2009: 1047-1051 - [c25]Zhexu Chen, Lei Chen, Müjdat Çetin, Alan S. Willsky:
An efficient message passing algorithm for multi-target tracking. FUSION 2009: 826-833 - [c24]M. Gökhan Uzunbas, Octavian Soldea, Müjdat Çetin, Gozde B. Unal, Aytül Erçil, Devrim Ünay, Ahmet Ekin, Zeynep Firat:
Volumetric Segmentation of Multiple Basal Ganglia Structures using Nonparametric Coupled shape and Inter-Shape Pose Priors. ISBI 2009: 29-32 - [c23]Devrim Ünay, Octavian Soldea, Ahmet Ekin, Müjdat Çetin, Aytül Erçil:
Automatic Annotation of X-Ray Images: A Study on Attribute Selection. MCBR-CDS 2009: 97-109 - 2008
- [c22]M. Gökhan Uzunbas, Müjdat Çetin, Gozde B. Unal, Aytül Erçil:
Coupled nonparametric shape priors for segmentation of multiple basal ganglia structures. ISBI 2008: 217-220 - [c21]Walter Sun, Müjdat Çetin, Raymond C. Chan, Alan S. Willsky:
Segmentation of the evolving left ventricle by learning the dynamics. ISBI 2008: 229-232 - 2007
- [c20]Marian Stewart Bartlett, Gwen Littlewort, Esra Vural, Kang Lee, Müjdat Çetin, Aytül Erçil, Javier R. Movellan:
Data Mining Spontaneous Facial Behavior with Automatic Expression Coding. COST 2102 Workshop (Patras) 2007: 1-20 - [c19]Erkin Tekeli, Müjdat Çetin, Aytül Erçil:
Shape and data driven texture segmentation using local binary patterns. EUSIPCO 2007: 1442-1446 - [c18]Esra Vural, Müjdat Çetin, Aytül Erçil, Gwen Littlewort, Marian Stewart Bartlett, Javier R. Movellan:
Drowsy Driver Detection Through Facial Movement Analysis. ICCV-HCI 2007: 6-18 - 2006
- [c17]Müjdat Çetin, Emmanuel Bossy, Robin O. Cleveland, W. Clem Karl:
Sparsity-Driven Sparse-Aperture Ultrasound Imaging. ICASSP (2) 2006: 89-92 - 2005
- [c16]Junmo Kim, Müjdat Çetin, Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation. EUSIPCO 2005: 1-4 - [c15]Müjdat Çetin, Brian M. Sadler:
Semi-blind sparse channel estimation with constant modulus symbols. ICASSP (3) 2005: 561-564 - [c14]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
Homotopy continuation for sparse signal representation. ICASSP (5) 2005: 733-736 - [c13]Walter Sun, Müjdat Çetin, Raymond C. Chan, Vivek Y. Reddy, Godtfred Holmvang, Venkat Chandar, Alan S. Willsky:
Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images. IPMI 2005: 553-565 - 2004
- [c12]Dmitry M. Malioutov, Müjdat Çetin, Alan S. Willsky:
Optimal sparse representations in general overcomplete bases. ICASSP (2) 2004: 793-796 - 2003
- [c11]Junmo Kim, John W. Fisher III, Müjdat Çetin, Anthony J. Yezzi, Alan S. Willsky:
Incorporating complex statistical information in active contour-based image segmentation. ICIP (2) 2003: 655-658 - [c10]Ayres C. Fan, William M. Wells III, John W. Fisher III, Müjdat Çetin, Steven Haker, Robert V. Mulkern, Clare M. Tempany, Alan S. Willsky:
A Unified Variational Approach to Denoising and Bias Correction in MR. IPMI 2003: 148-159 - 2002
- [c9]Müjdat Çetin, Dmitry M. Malioutov, Alan S. Willsky:
A variational technique for source localization based on a sparse signal reconstruction perspective. ICASSP 2002: 2965-2968 - [c8]Junmo Kim, Andy Tsai, Müjdat Çetin, Alan S. Willsky:
A curve evolution-based variational approach to simultaneous image restoration and segmentation. ICIP (1) 2002: 109-112 - [c7]Müjdat Çetin, William Clement Karl, Alan S. Willsky:
Edge-preserving image reconstruction for coherent imaging applications. ICIP (2) 2002: 481-484 - [c6]Junmo Kim, John W. Fisher III, Anthony J. Yezzi Jr., Müjdat Çetin, Alan S. Willsky:
Nonparametric methods for image segmentation using information theory and curve evolution. ICIP (3) 2002: 797-800 - 2000
- [c5]Müjdat Çetin, W. Clem Karl:
Enhanced, high resolution radar imaging based on robust regularization. ICASSP 2000: 2278-2281 - [c4]Müjdat Çetin, William Clement Karl:
Superresolution and Edge-Preserving Reconstruction of Complex-Valued Synthetic Aperture Radar Images. ICIP 2000: 701-704 - 1999
- [c3]R. D. Hester, Müjdat Çetin, Chetan Kapoor, Delbert Tesar:
A Criteria-Based Approach to Grasp Synthesis. ICRA 1999: 1255-1260 - 1998
- [c2]Müjdat Çetin, William Clement Karl:
A Statistical Method for Discrimination of Natural Terrain Types from SAR Data. ICIP (1) 1998: 587-591 - 1997
- [c1]Müjdat Çetin, William Clement Karl:
A Statistical Tomographic Approach to Synthetic Aperture Radar Image Reconstruction. ICIP (1) 1997: 845-848
Parts in Books or Collections
- 2014
- [p1]Serhan Cosar, Müjdat Çetin:
Decentralized Human Tracking in Visual Sensor Networks: Using Sparse Representation for Efficient Communication. Human Behavior Understanding in Networked Sensing 2014: 45-73
Informal and Other Publications
- 2024
- [i14]Shadi Sartipi, Müjdat Çetin:
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition. CoRR abs/2401.02344 (2024) - [i13]Shadi Sartipi, Müjdat Çetin:
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification. CoRR abs/2402.09438 (2024) - [i12]Shadi Sartipi, Müjdat Çetin:
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model. CoRR abs/2404.15373 (2024) - 2023
- [i11]Shadi Sartipi, Mastaneh Torkamani-Azar, Müjdat Çetin:
A Hybrid End-to-End Spatio-Temporal Attention Neural Network with Graph-Smooth Signals for EEG Emotion Recognition. CoRR abs/2307.03068 (2023) - 2022
- [i10]Canberk Ekmekci, Müjdat Çetin:
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging. CoRR abs/2207.00698 (2022) - 2021
- [i9]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. CoRR abs/2103.03762 (2021) - 2020
- [i8]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
A statistical framework for model-based inverse problems in ultrasound elastography. CoRR abs/2010.10729 (2020) - 2019
- [i7]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. CoRR abs/1901.02513 (2019) - [i6]Mastaneh Torkamani-Azar, Sumeyra Demir Kanik, Serap Aydin, Müjdat Çetin:
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task. CoRR abs/1910.10076 (2019) - 2018
- [i5]Ertunc Erdil, Sinan Yildirim, Tolga Tasdizen, Müjdat Çetin:
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. CoRR abs/1809.00488 (2018) - 2016
- [i4]Fitsum Mesadi, Müjdat Çetin, Tolga Tasdizen:
Disjunctive Normal Level Set: An Efficient Parametric Implicit Method. CoRR abs/1606.07511 (2016) - [i3]Muhammad Usman Ghani, Ertunc Erdil, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic Spine Shape Analysis: A Clustering Perspective. CoRR abs/1607.05523 (2016) - [i2]Ertunc Erdil, Sinan Yildirim, Müjdat Çetin, Tolga Tasdizen:
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors. CoRR abs/1611.03749 (2016) - [i1]Jaime Fernando Delgado Saa, Müjdat Çetin:
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces. CoRR abs/1612.08642 (2016)
Coauthor Index
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