Müjdat Çetin, Ph.D.

Affiliations: 
Department of Electrical and Computer Engineering University of Rochester, Rochester, NY 
 Department of Electronics Engineering Sabanci University, Johnson City, İstanbul, Turkey 
Area:
Signal processing, computational imaging, brain-computer interfaces, biomedical image analysis
Website:
http://www.hajim.rochester.edu/ece/people/faculty/cetin_mujdat/index.html
Google:
"Müjdat Çetin"

Parents

Sign in to add mentor
William C. Karl grad student 2001 Boston University
 (Feature-Enhanced Synthetic Aperture Radar Imaging)

Children

Sign in to add trainee
Ali Özgür Argunsah research assistant 2006-2009 Sabanci University (Neurotree)
Fazla Rabbi Mashrur grad student 2023- Rochester (Neurotree)
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Ahmad SD, Cetin M, Waugh RE, et al. (2023) A computer vision approach for analyzing label free leukocyte trafficking dynamics on a microvascular mimetic. Frontiers in Immunology. 14: 1140395
Argunşah AÖ, Erdil E, Ghani MU, et al. (2022) An interactive time series image analysis software for dendritic spines. Scientific Reports. 12: 12405
Ozgurun B, Cetin M. (2020) Compressed Sensing Structured Illumination Microscopy. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1828-1831
Rada L, Kilic B, Erdil E, et al. (2018) Tracking-assisted Detection of Dendritic Spines in Time-Lapse Microscopic Images. Neuroscience
Mesadi F, Cetin M, Tasdizen T. (2017) Disjunctive Normal Parametric Level Set With Application to Image Segmentation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society
Ghani MU, Mesadi F, Kanık SD, et al. (2016) Dendritic Spine Classification using Shape and Appearance Features based on Two-Photon Microscopy. Journal of Neuroscience Methods
Mesadi F, Cetin M, Tasdizen T. (2015) Disjunctive Normal Shape and Appearance Priors with Applications to Image Segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 9351: 703-710
Tuysuzoglu A, Kracht JM, Cleveland RO, et al. (2012) Sparsity driven ultrasound imaging. The Journal of the Acoustical Society of America. 131: 1271-81
UzunbaÅŸ MG, Soldea O, Unay D, et al. (2010) Coupled nonparametric shape and moment-based intershape pose priors for multiple basal ganglia structure segmentation. Ieee Transactions On Medical Imaging. 29: 1959-78
Kim J, Fisher JW, Yezzi A, et al. (2005) A nonparametric statistical method for image segmentation using information theory and curve evolution. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 14: 1486-502
See more...