- SEGMENTATION OF THE EVOLVING LEFT VENTRICLE BY LEARNING THE DYNAMICS
- A Sparse Signal Reconstruction Perspective for Source Localization with Sensor Arrays
- Parameter Selection in Sparsity-driven SAR Imaging Ozge Batu and Mujdat C etin
- Published in IET Radar, Sonar and Navigation Received on 8th September 2009
- SUBMITTED TO IEEE TRANSACTIONS ON IMAGE PROCESSING 1 A Nonparametric Statistical Method for
- Graphical Model-based Approaches to Target Tracking in Sensor Networks: An Overview of Some Recent Work and Challenges
- A Robust Facial Feature Point Tracker using Graphical Models Serhan Cosar, Mujdat C etin, Aytul Ercil
- GRAPHICAL MODEL BASED FACIAL FEATURE POINT TRACKING IN A VEHICLE ENVIRONMENT
- MACHINE LEARNING SYSTEMS FOR DETECTING DRIVER DROWSINESS Esra Vural, Mjdat etin, Aytl Eril
- SPARSITY-DRIVEN SPARSE-APERTURE ULTRASOUND IMAGING Mujdat Cetina,b
- A FAST ALGORITHM FOR VISION-BASED HAND GESTURE RECOGNITION FOR ROBOT CONTROL
- Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images
- Research Assistant Positions Signal Processing for
- NONPARAMETRIC SHAPE PRIORS FOR ACTIVE CONTOUR-BASED IMAGE SEGMENTATION
- 3548 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 56, NO. 8, AUGUST 2008 Sparse Representation in Structured Dictionaries
- Joint space aspect reconstruction of wide-angle SAR exploiting sparsity
- Distributed Data Association for MultiTarget Tracking in Sensor Networks
- IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 29, NO. 12, DECEMBER 2010 1959 Coupled Nonparametric Shape and Moment-Based
- 2186 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 11, NOVEMBER 2008 Learning the Dynamics and Time-Recursive
- SHAPE AND DATA DRIVEN TEXTURE SEGMENTATION USING LOCAL BINARY Erkin Tekeli, Mjdat etin, and Aytl Eril
- Hyper-parameter selection in non-quadratic regularization-based radar image formation
- Sparsity and Compressed Sensing in Radar Imaging
- Joint Image Formation and Anisotropy Characterization in Wide-Angle SAR
- 3D HEAD TRACKING USING NORMAL FLOW CONSTRAINTS IN A VEHICLE ENVIRONMENT
- COUPLED NONPARAMETRIC SHAPE PRIORS FOR SEGMENTATION OF MULTIPLE BASAL GANGLIA STRUCTURES
- A Graphical Model based Solution to the Facial Feature Point Tracking Problem
- A Nonquadratic Regularization-based Technique for Joint SAR Imaging and Model Error Correction
- AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer
- Design, Implementation and Evaluation of a Real-time P300-based Brain-Computer Interface System
- AN EFFICIENT MONTE CARLO APPROACH FOR OPTIMIZING COMMUNICATION CONSTRAINED DECENTRALIZED ESTIMATION NETWORKS
- SPARSITY-DRIVEN IMAGE FORMATION AND SPACE-VARIANT FOCUSING FOR SAR N. Ozben Onhon and Mujdat C etin
- Automated X-Ray Image Annotation Single versus Ensemble of Support Vector Machines
- Discrimination of Moderate and Acute Drowsiness Based on Spontaneous Facial Expressions
- Volumetric Segmentation of Multiple Basal Ganglia Mustafa Gokhan Uzunbas, Octavian Soldea, Mujdat Cetin,
- Automatic Annotation of X-ray Images: A Study on Attribute Selection
- dvancements in biomedical signal processing techniques have led Electroencephalography (EEG)
- Multi-Object Segmentation using Coupled Nonparametric Shape and Relative Pose Priors
- Abstract--The aging population in developed countries has shifted considerable research attention to diseases related to
- JOINT SPARSITY-DRIVEN INVERSION AND MODEL ERROR CORRECTION FOR RADAR N. Ozben Onhon and Mujdat C etin
- SPARSE SIGNAL REPRESENTATION FOR COMPLEX-VALUED IMAGING Sadegh Samadi 1
- IEEE TRANSACTIONS ON SIGNAL PROCESSING 1 Monte Carlo Optimization of Decentralized
- Multiple feature-enhanced synthetic aperture radar imaging Sadegh Samadi a
- AN EFFICIENT MONTE CARLO APPROACH FOR OPTIMIZING DECENTRALIZED ESTIMATION NETWORKS CONSTRAINED BY UNDIRECTED TOPOLOGIES
- Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL -A Quantitative Approach
- Binary and nonbinary description of hypointensity for search and retrieval of brain MR images
- HIDDEN CONDITIONAL RANDOM FIELDS FOR CLASSIFICATION OF IMAGINARY MOTOR TASKS FROM EEG DATA
- An Efficient Message Passing Algorithm for Multi-Target Tracking
- Compressed sensing of mono-static and multi-static SAR Ivana Stojanovica, W. Clem Karlb, Mujdat Cetinc,
- A Group Sparsity-Driven Approach to 3-D Action Recognition Serhan Cosar Mujdat C etin
- VOLUMETRIC SEGMENTATION OF MULTIPLE BASAL GANGLIA STRUCTURES USING NONPARAMETRIC COUPLED SHAPE AND INTER-SHAPE POSE PRIORS
- A Sparsity-driven Approach for Joint SAR Imaging and Phase Error Correction
- SAR Moving Target Imaging in a Sparsity-driven N. Ozben Onhon and Mujdat Cetin
- 5558 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 59, NO. 11, NOVEMBER 2011 Monte Carlo Optimization of Decentralized
- A Latent Discriminative Model-Based Approach for Classification of Imaginary Motor Task from EEG
