Müjdat Çetin

Rochester Institute of Technology — United States

Engineering · Physical Sciences

39h-index9.2kcitations350works1.82yr avg
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Research Topics

Advanced SAR Imaging Techniques(84), Sparse and Compressive Sensing Techniques(71), EEG and Brain-Computer Interfaces(65), Synthetic Aperture Radar (SAR) Applications and Techniques(56), Medical Image Segmentation Techniques(49)

Publications350 total

Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging
IEEE Transactions on Computational Imaging·2025· 1 cited
PG-ControlNet: A Physics-Guided ControlNet for Generative Spatially Varying Image Deblurring
arXiv (Cornell University)·2025Open Access
Uncertainty quantification for deep learning-based synthetic aperture radar imaging
2025
Postoperative intraocular lens tilt from preoperative full crystalline lens geometry using machine learning
Biomedical Optics Express·2025· 5 citedOpen Access
Grid-Based 3D U-Net for Robust Light-Sheet Microscopy Deconvolution
2025
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring
IEEE Sensors Letters·2024Open Access
LG-Sleep: Local and Global Temporal Dependencies for Mice Sleep Scoring
arXiv (Cornell University)·2024Open Access
Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
arXiv (Cornell University)·2024Open Access
Postoperative intraocular lens tilt from preoperative full crystalline lens geometry using machine learning
2024Open Access
Postoperative intraocular lens tilt from preoperative full crystalline lens geometry using machine learning
2024
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
2024
Integrating Learning-Based Priors With Physics-Based Models in Ultrasound Elasticity Reconstruction
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control·2024
Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
arXiv (Cornell University)·2024Open Access
Multi-Source Domain Adaptation with Transformer-Based Feature Generation for Subject-Independent EEG-Based Emotion Recognition
2024· 4 cited
A Global View of Upper Mantle Stratification: CRISP-RF
2024Open Access
Subject-Independent Deep Architecture for EEG-based Motor Imagery Classification
arXiv (Cornell University)·2024Open Access
Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
arXiv (Cornell University)·2024Open Access
Plug-and-Play ADMM Based Radar Range Profile Reconstruction Using Deep Priors
Progress In Electromagnetics Research C·2024Open Access
SAR Image Despeckle With CNN Using a Novel Logarithmic Discrete Cosine Transform-Based Loss
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2024· 4 citedOpen Access
Subject-Independent Deep Architecture for EEG-Based Motor Imagery Classification
IEEE Transactions on Neural Systems and Rehabilitation Engineering·2024· 21 citedOpen Access
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Frequent Co-authors

Alan S. Willsky(16), John W. Fisher(6), Dmitry Malioutov(5), W.C. Karl(5), Aytül Erçi̇l(5), Sadegh Samadi(4), Esra Vural(4), Gwen Littlewort(4), Marian Stewart Bartlett(4), Javier R. Movellan(4), Randolph L. Moses(4), Martin J. Wainwright(4), Ivana Stojanović(3), Lee C. Potter(2), Anthony Yezzi(2), Kush R. Varshney(2), N. Özben Önhon(2), Lei Chen(2), Alexander Ihler(2), Junmo Kim(2)