Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDMüjdat Çetin
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j34]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)- [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
- [j33]Ipek Baz, Erdem Yörük, Müjdat Çetin:
Context-Aware Confidence Sets for Fine-Grained Product Recognition. IEEE Access 7: 76376-76393 (2019) - [j32]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) - [j31]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, A. OzgurArgunsah, 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
- [j30]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) - [j29]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
- [j28]N. Özben Önhon, Müjdat Çetin:
SAR moving object imaging using sparsity imposing priors. EURASIP J. Adv. Signal Process. 2017: 10 (2017) - [j27]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) - [j26]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) - [j25]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
- [j24]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) - [j23]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
- [j22]Serhan Cosar, Müjdat Çetin:
Sparsity-driven bandwidth-efficient decentralized tracking in visual sensor networks. Comput. Vis. Image Underst. 139: 40-58 (2015) - [j21]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
- [j20]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) - [j19]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) - [j18]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) - [j17]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
- [j16]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) - [j15]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
- [j14]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) - [j13]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
- [j12]Serhan Cosar, Müjdat Çetin:
A graphical model based solution to the facial feature point tracking problem. Image Vis. Comput. 29(5): 335-350 (2011) - [j11]Ozge Batu, Müjdat Çetin:
Parameter Selection in Sparsity-Driven SAR Imaging. IEEE Trans. Aerosp. Electron. Syst. 47(4): 3040-3050 (2011) - [j10]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
- [j9]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. 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
- [j8]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) - [j7]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) - [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
- [j6]Junmo Kim, Müjdat Çetin, Alan S. Willsky:
Nonparametric shape priors for active contour-based image segmentation. Signal Process. 87(12): 3021-3044 (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
- [j5]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) - [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) - [c17]Müjdat Çetin, Emmanuel Bossy, Robin O. Cleveland, W. Clem Karl:
Sparsity-Driven Sparse-Aperture Ultrasound Imaging. ICASSP (2) 2006: 89-92 - 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) - [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,