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2020 – today
- 2021
- [j38]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin
:
Online discriminative graph learning from multi-class smooth signals. Signal Process. 186: 108101 (2021) - [j37]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) - [j36]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) - [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 - [i9]Seyed Saman Saboksayr, Gonzalo Mateos, Müjdat Çetin:
Online Graph Learning under Smoothness Priors. CoRR abs/2103.03762 (2021) - 2020
- [j35]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) - [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 - [i8]Narges Mohammadi, Marvin M. Doyley, Müjdat Çetin:
A statistical framework for model-based inverse problems in ultrasound elastography. CoRR abs/2010.10729 (2020)
2010 – 2019
- 2019
- [j34]Ipek Baz
, Erdem Yörük, Müjdat Çetin:
Context-Aware Confidence Sets for Fine-Grained Product Recognition. IEEE Access 7: 76376-76393 (2019) - [j33]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) - [j32]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) - [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 - [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
- [j31]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) - [d1]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) - [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 - [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) - 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) - [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
- [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) - [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 - [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) - 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) - [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
- [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) - [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 - [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 - 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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
2000 – 2009
- 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.