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 titleauthorsabstracttypejournalpublished year
DetailsSemi-supervised
Adaptation of Motor
Imagery Based BCI Systems
Ismail Yılmaz, Sümeyra
Demir, Tolga Tasdizen,
Müjdat Çetin
One of the main problems in Brain Computer Interface
(BCI) systems is the non stationary behavior of
the electroencephalography (EEG) signals causing
problems in real time applications Another ...
Conference PaperSIU 20152015
DetailsAdaptive Neurofeedback on
Parieto-Occipital Cortex
for Motor Learning
Performance
Ozan Özdenizci, Timm
Meyer, Müjdat Çetin,
Moritz Grosse-Wentrup
Numerous electroencephalogram (EEG) based Brain
Computer Interface (BCI) systems are being used
as alter native means of communication for locked
in patients Beyond these BCIs are also ...
Conference PaperSIU 20152015
DetailsDendritic Spine Shape
Classification from
Two-Photon Microscopy
Images
Muhammad Usman Ghani,
Sümeyra Demir Kanık,
Ali Özgür Argunsah,
Tolga Tasdizen, Devrim
Ünay, Müjdat Çetin
Functional properties of a neuron are coupled with
its morphology particularly the morphology of dendritic
spines Spine volume has been used as the primary
morphological parameter in order the ...
Conference PaperSIU 20152015
DetailsA Joint Classification
And Segmentation Approach
For Dendritic Spine
Segmentation in 2-photon
Microscopy Images
Ertunc Erdil, A. Ozgur
Argunsah, Tolga Tasdizen,
Devrim Unay, Mujdat Cetin
Shape priors have been successfully used in challenging
biomedical imaging problems However when the shape
distribution involves multiple shape classes leading
to a multimodal shape density ...
Conference PaperIEEE International
Symposium Biomedical
Imaging, ISBI 2015, New
York
2015
DetailsAutomated Dendritic Spine
Tracking on 2-Photon
Microscopic Images
Biike Kılıç, Lavdie
Rada, Ertunç Erdil, A.
Özgür Argunsah, Müjdat
Çetin, Devrim Ünay
The rapid and spontaneous morphological changes
of dendritic spines have been an important observation
to understand how information is stored in brain
Manual assessment of spine structure has ...
Conference PaperSIU 20152015
DetailsSparsity-driven
bandwidth-efficient
decentralized tracking in
visual sensor networks
Serhan Cosar, Müjdat
Çetin
Recent developments in low cost CMOS cameras have
created the opportunity of bringing imaging capabilities
to sensor networks and a new field called visual
sensor networks (VSNs) has emerged VSNs ...
Journal PaperComputer Vision and Image
Understanding, vol. 139,
pp. 40-58, October 2015
2015
DetailsOn the Quality and
Timeliness of Fusion in a
Random Access Sensor
Network
Abdurrahim Soganli, Ozgur
Ercetin, Müjdat Çetin
In this letter we investigate the trade off between
the quality of multi sensor fusion decision and
the delay of making that decision in a random access
sensor network in a particular setting ...
Journal PaperIEEE Signal Processing
Letters, vol. 22, no. 9,
pp. 1259-1263, September
2015
2015
DetailsWord-level Language
Modeling for P300
Spellers based on
Discriminative Graphical
Models
Jaime Fernando Delgado
Saa, Adriana de Pesters,
Dennis McFarland, Müjdat
Çetin
In this work we propose a probabilistic graphical
model framework that uses language priors at the
level of words as a mechanism to increase the performance
of P300 based spellers Approach This ...
Journal PaperJournal of Neural
Engineering, vol. 12, no.
2, p. 026007, April 2015
2015
DetailsSparsity and Compressed
Sensing in Mono-static
and Multi-static Radar
Imaging
Ivana Stojanovic, Müjdat
Çetin, W. Clem Karl
 Book ChapterCompressed Sensing and
Sparse Filtering, A.
Carmi, L. Mihaylova, and
S. J. Godsill (eds.),
Springer, pp. 395-420,
2014 (ISBN:
978-3642383984)
2014
DetailsCombining Learning-based
Intensity Distributions
with Nonparametric Shape
Priors for Image
Segmentation
Abdurrahim Soganli,
Gokhan Uzunbas, Müjdat
Çetin
Integration of shape prior information into level
set formulations has led to great improvements in
image segmentation in the presence of missing information
occlusion and noise However most ...
Journal PaperSpringer Signal, Image
and Video Processing,
vol. 8, no. 4, pp.
789-798, May 2014
2014
DetailsStandardized evaluation
methodology and reference
database for evaluating
IVUS image segmentation
Balocco S, Gatta C,
Ciompi F, Wahle A, Radeva
P, Carlier S, Unal G,
Sanidas E, Mauri J,
Carillo X, Kovarnik T,
Wang CW, Chen HC,
Exarchos TP, Fotiadis DI,
Destrempes F, Cloutier G,
Pujol O, Alberti M,
Mendizabal-Ruiz EG,
Rivera M, Aksoy T, Downe
RW, Kakadiaris IA.
This paper describes an evaluation framework that
allows a standardized and quantitative comparison
of IVUS lumen and media segmentation algorithms
This framework has been introduced at the ...
Journal PaperComput Med Imaging Graph.
2014 Mar;38(2):70-90
2014
DetailsFeature compression: A
framework for multi-view
multi-person tracking in
visual sensor networks
Serhan Cosar, Müjdat
Çetin
Visual sensor networks (VSNs) consist of image sensors
embedded processors and wireless transceivers which
are powered by batteries Since the energy and bandwidth
resources are limited setting
Journal Paper Journal of Visual
Communication and Image
Representation, vol. 25,
no. 5, pp. 864-873, July
2014
2014
DetailsSparsity-Driven Synthetic
Aperture Radar Imaging:
Reconstruction,
Autofocusing, Moving
Targets, and Compressed
Sensing
Müjdat Çetin, Ivana
Stojanovic, N. Ozben
Onhon, Kush R. Varshney,
Sadegh Samadi, W. Clem
Karl, and Alan S. Willsky
This article presents a survey of recent research
on sparsity driven synthetic aperture radar (SAR)
imag ing In particular it reviews 1) the analysis
and synthe sis based sparse signal ...
Journal PaperIEEE Signal Processing
Magazine, vol. 31, no. 4,
pp. 27-40, July 2014
2014
DetailsDecentralized Human
Tracking in Visual Sensor
Networks: Using Sparse
Representation for
Efficient Communication
Serhan Cosar, Müjdat
Çetin
 Book ChapterHuman Behaviour
Understanding in
Networked (distributed)
Sensing - Theory and
applications of networks
of sensors, P. Spagnolo,
P. L. Mazzeo and C.
Distante (eds.),
Springer, 2014
2014
DetailsProbabilistic Graphical
Models for Brain Computer
Interfaces
Jaime Delgado SaaBrain computer interfaces (BCI) are systems that
aim to establish a new communication path for subjects
who suffer from motor disabilities allowing interaction
with the environment through ...
Thesis 2014
DetailsDesign and Analysis of a
Brain-computer
Interface-based Robotic
Rehabilitation System
Ela KoyasIn this thesis we have investigated the effect
of brain computer interfaces (BCI) which enable
direct communication between a brain and a computer
to increase the patient's active involvement to
Thesis 2014
DetailsDictionary Learning and
Low-rank Sparse Matrix
Decomposition for
Sparsity-driven SAR Image
Reconstruction
Abdurrahim SoganliSynthetic aperture radar (SAR) is one of the most
widely used remote sensing modalities providing
images for a variety of applications including those
in defense environmental science and ...
Thesis 2014
DetailsScreened Poisson
Hyper-Fields for Shape
Coding
R. A. Guler, S. Tari, G.
Unal
We present a novel perspective on shape characterization
using the screened Poisson equation We discuss
that the effect of the screening parameter is a
change of measure of the underlying metric ...
Journal PaperSIAM Journal on Imaging
Sciences, Dec 2014
2014
DetailsAutomatic Dendritic Spine
Detection using
Multiscale Dot
Enhancement Filters and
Sift Features
Lavdie Rada, Ertunc
Erdil, A. Ozgur Argunsah,
Devrim Unay, Mujdat Cetin
Statistical characterization of morphological changes
of dendritic spines is becoming of crucial interest
in the field of neurobiology Automatic detection
and segmentation of dendritic spines ...
Conference PaperICIP 20142014
DetailsOptimization of
Decentralized Random
Field Estimation Networks
under Communication
Constraints through Monte
Carlo Methods
Murat Üney, Müjdat
Çetin
We propose a new methodology for designing decentralized
random field estimation schemes that takes the tradeoff
between the estimation accuracy and the cost of
communications into account We ...
Journal PaperDigital Signal
Processing, vol. 34, pp.
16-28, November 2014
2014
DetailsDiscriminative Methods
for Classification of
Asynchronous Imaginary
Motor Tasks from EEG Data
Jaime F. Delgado Saa,
Müjdat Çetin
In this work two methods based on statistical models
that take into account the temporal changes in the
electroencephalographic (EEG) signal are proposed
for asynchronous brain–computer ...
Journal PaperIEEE TRANSACTIONS ON
NEURAL SYSTEMS AND
REHABILITATION
ENGINEERING, VOL. 21, NO.
5, SEPTEMBER 2013
2013
DetailsVessel tractography using
an intensity based tensor
model with branch
detection
Cetin S, Demir A, Yezzi
A, Degertekin M, Unal G.
In this paper we present a tubular structure segmentation
method that utilizes a second order tensor constructed
from directional intensity measurements which is
inspired from diffusion tensor ...
Journal PaperIEEE Trans Med Imaging.
2013 Feb;32(2):348-63.
doi:
10.1109/TMI.2012.2227118.
Epub 2012 Nov 15.
2013
DetailsAn IVUS image-based
approach for improvement
of coronary plaque
characterization
Arash Taki, Alireza
Roodaki, Seyed Kamaledin
Setarehdan, Sara
Avansari, Gozde Unal,
Nassir Navab
Virtual Histology Intravascular Ultrasound (VH IVUS)
is widely used for studying atherosclerosis plaque
composition However one of the main limitations
of the VH IVUS relates to its dependence
Journal PaperComputers in Biology and
Medicine
2013
DetailsA Decision Forest Based
Feature Selection
Framework for Action
Recognition from
RGB-Depth Cameras
Farhood Negin, Firat
Ozdemir, Ceyhun Burak
Akgul, Kamer Ali Yuksel,
Aytul Ercil
In this paper we present an action recognition
framework leveraging data mining capabilities
of random decision forests trained on kinematic
features We describe human motion via a rich ...
Conference PaperICIAR 20132013
DetailsJoint Sparsity-driven
Inversion and Model Error
Correction for SAR
Imaging
Ozben OnhonImage formation algorithms in a variety of applications
hav e explicit or implicit dependence on a mathematical
model of the observation process Inaccuracies in
the observation model may cause ...
ThesisSabanci University
Research Database
2013
DetailsTemplate-based CTA X-ray
Angio Rigid Registration
of Coronary Arteries in
Frequency Domain
Timur Aksoy, Stefanie
Demirci, Muzaffer
Degertekin, Nassir Navab,
Gozde Unal
This study performs 3D to 2D rigid registration
of segmented pre operative CTA coronary arteries
with a single segmented intra operative X ray Angio
frame in both frequency and spatial domains
Conference PaperSPIE 20132013
DetailsStandardized evaluation
framework for evaluating
coronary artery stenosis
detection, stenosis
quantification and lumen
segmentation algorithms
in computed tomography
angiography
H.A. Kirisli, M. Schaap,
C.T. Metz, A.S.
Dharampal, W.B. Meijboom,
S.L. Papadopoulou, A.
Dedic, K. Nieman, M.A. de
Graaf, M.F.L. Meijs, M.J.
Cramer, A. Broersen, S.
Cetin, A. Eslami, L.
Flórez-Valencia, K.L.
Lor, B. Matuszewski, I.
Melki, B. Mohr, I.
Öksüz, R. Shahzad, C.
Wang, P.H. Kitslaar, G.
Unal, A. Katouzian, M.
Orkisz, C.M. Chen, F.
Precioso, L. Najman, S.
Masood, D. Ünay, L. van
Vliet, R. Moreno, R.
Goldenberg, E. Vuçini,
G.P. Krestin, W.J.
Niessen, T. van Walsum
Though conventional coronary angiography (CCA) has
been the standard of reference for diagnosing coronary
artery disease in the past decades computed tomography
angiography (CTA) has rapidly ...
Journal PaperMedical Image Analysis 17
(2013) 859–876
2013
DetailsError Detection and New
Stimulus Mechanisms in
Brain-computer Interface
Hamza Fawzi AltakrouryBrain Computer Interfaces (BCIs) constitute a research
field whose moti vation is to help disabled individuals
to communicate with the environment around them
directly through the electrical ...
ThesisSabanci University
Research Database
2013
DetailsIncorporation of a
Language Model into a
Brain Computer Interface
Based Speller
Cagdas UlasBrain computer interface (BCI) research deals with
the problem of establishing direct communication
pathways between the brain and external devices
The primary motiva tion is to enable patients ...
ThesisSabanci University
Research Database
2013
DetailsSearch-Based Methods for
the Sparse Signal
Recovery Problem in
Compressed Sensing
Nazim Burak KarahanogluThe sparse signal recovery which appears not only
in compressed sensing but also in other related
problems such as sparse overcomplete representations
denoising sparse learning etc has drawn
ThesisSabanci University
Research Database
2013
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