World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
11294
World Ranking
9527
National Ranking
4037

Overview

Mujdat Cetin is affiliated with the University of Rochester in the United States and has contributed extensively to fields intersecting engineering and neuroscience. Their research spans multiple disciplines, with a focus on cognitive neuroscience, biomedical engineering, and advanced imaging techniques.

The scientist's work covers a variety of subfields including:

  • Cognitive Neuroscience
  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Aerospace Engineering

Within these domains, the main topics addressed in their publications include:

  • EEG and Brain-Computer Interfaces
  • Photoacoustic and Ultrasonic Imaging
  • Ultrasound Imaging and Elastography
  • Sparse and Compressive Sensing Techniques
  • Advanced SAR Imaging Techniques
  • Neural dynamics and brain function
  • Medical Imaging Techniques and Applications

The scientist has published frequently in several academic venues, primarily:

  • arXiv (Cornell University)
  • IEEE Transactions on Computational Imaging
  • Electronic Imaging
  • Applied Neuropsychology Child
  • IEEE Signal Processing Magazine

Selected recent papers authored or coauthored by Mujdat Cetin include:

  • "Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors," 2020, IEEE Transactions on Computational Imaging
  • "A mobile app that uses neurofeedback and multi-sensory learning methods improves reading abilities in dyslexia: A pilot study," 2021, Applied Neuropsychology Child
  • "Changes in EEG complexity with neurofeedback and multi-sensory learning in children with dyslexia: A multiscale entropy analysis," 2020, Applied Neuropsychology Child
  • "An interactive time series image analysis software for dendritic spines," 2022, Scientific Reports
  • "A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition," 2023, IEEE Transactions on Cognitive and Developmental Systems

Mujdat Cetin collaborates regularly with a number of frequent coauthors including:

  • Shadi Sartipi
  • Narges Mohammadi
  • Marvin M. Doyley
  • Canberk Ekmekci
  • Mastaneh Torkamani-Azar

Best Publications

  • A sparse signal reconstruction perspective for source localization with sensor arrays

    D. Malioutov;M. Cetin;A.S. Willsky

  • Sparsity and Compressed Sensing in Radar Imaging

    Lee C Potter;Emre Ertin;Jason T Parker;Mujdat Cetin

  • Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization

    M. Cetin;W.C. Karl

  • A nonparametric statistical method for image segmentation using information theory and curve evolution

    Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

  • Homotopy continuation for sparse signal representation

    D.M. Malioutov;M. Cetin;A.S. Willsky

  • Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing

    Mujdat Cetin;Ivana Stojanovic;Ozben Onhon;Kush Varshney

  • A Fast Algorithm for Vision-Based Hand Gesture Recognition for Robot Control

    A. Malima;E. Ozgur;M. Cetin

  • Drowsy driver detection through facial movement analysis

    Esra Vural;Mujdat Cetin;Aytul Ercil;Gwen Littlewort

  • Distributed fusion in sensor networks

    M. Cetin;Lei Chen;J.W. Fisher;A.T. Ihler

  • A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction

    N. Ö Onhon;M. Cetin

  • Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar

    K.R. Varshney;M. Cetin;J.W. Fisher;A.S. Willsky

  • Sparse representation-based synthetic aperture radar imaging

    Sadegh Samadi;Müjdat Çetin;Mohammad Ali Masnadi-Shirazi

  • Wide-angle SAR imaging

    Randolph L. Moses;Lee C. Potter;Mujdat Cetin

  • Nonparametric methods for image segmentation using information theory and curve evolution

    Junmo Kim;J.W. Fisher;A. Yezzi;M. Cetin

  • Nonparametric shape priors for active contour-based image segmentation

    Junmo Kim;Müjdat Çetin;Alan S. Willsky

  • An Augmented Lagrangian Method for Complex-Valued Compressed SAR Imaging

    H. Emre Guven;Alper Gungor;Mujdat Cetin

  • Optimal sparse representations in general overcomplete bases

    D.M. Malioutov;M. Cetin;A.S. Willsky

  • Data association based on optimization in graphical models with application to sensor networks

    Lei Chen;Martin J. Wainwright;MüJdat ÇEtin;Alan S. Willsky

  • A variational technique for source localization based on a sparse signal reconstruction perspective

    Mujdat Cetin;Dmitry M. Malioutov;Alan S. Willsky

  • Feature enhancement and ATR performance using nonquadratic optimization-based SAR imaging

    M. Cetin;W.C. Karl;D.A. Castanon

Frequent Co-Authors

Tolga Tasdizen
Tolga Tasdizen University of Utah
William Clement Karl
William Clement Karl Boston University
Marian Stewart Bartlett
Marian Stewart Bartlett Apple (United States)
Javier R. Movellan
Javier R. Movellan University of California, San Diego
Randolph L. Moses
Randolph L. Moses The Ohio State University
Junmo Kim
Junmo Kim Korea Advanced Institute of Science and Technology
David A. Castanon
David A. Castanon Boston University

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