Generalization and Localization Based Style Imitation for Grayscale Images. - Fatih Nar; Atilim Çetin (ISCIS, 2003)

Simultaneous triple-registration of ictal SPECT, interictal SPECT and MR images for epilepsy studies: Method and validation. - Erkan U. Mumcuoglu; Fatih Nar; Yasemin Yardimci; Umut Koçak; Eser Lay Ergun; Bilge Volkan; Omer Ugur; Belkis Erbas (EUSIPCO, 2005)

Image-based retrieval system and computer-aided diagnosis system for renal cortical scintigraphy images. - Erkan U. Mumcuoglu; Fatih Nar; Omer Ugur; M. Fani Bozkurt; Mehmet Aslan (Computer-Aided Diagnosis, 2008)

Automatic and semi-automatic extraction of curvilinear features from SAR images. - Emre Akyilmaz; Osman Erman Okman; Fatih Nar; Müjdat Çetin (SAR, 2012)

Interactive ship segmentation in SAR images. - Emre Akyilmaz; Can Demirkesen; Fatih Nar; Osman Erman Okman; Müjdat Çetin (SIU, 2013)

Scattered data estimation on medical images for cranioplasty applications. - Ferhat Atasoy; Fatih Nar; Baha Sen; Mahmut Ferat (SIU, 2014)

Fast feature preserving despeckling. - Caner Ozcan; Baha Sen; Fatih Nar (SIU, 2014)

Land-cover classification in SAR images using dictionary learning. - Gizem Aktas; Çagdas Bak; Fatih Nar; Nigar Sen (SAR, 2015)

Information-theoretic noisy band detection in hyperspectral imagery. - Mustafa Ergul; Fatih Nar; Emre Akyilmaz; Nigar Sen; Müjdat Çetin (SIU, 2015)

Early-exit optimization using mixed norm despeckling for SAR images. - Caner Ozcan; Baha Sen; Fatih Nar (SIU, 2015)

Total variation based 3D skull segmentation. - Ferhat Atasoy; Baha Sen; Fatih Nar; Caner Ozcan; Ismail Bozkurt (SIU, 2016)

DSM extraction using variational methods. - Çagdas Bak; Mustafa Ergul; Gizem Aktas; Fatih Nar (SIU, 2016)

Sparsity-driven despeckling method with low memory usage. - Caner Ozcan; Baha Sen; Fatih Nar (SIU, 2016)

Sparsity-Driven Change Detection in Multitemporal SAR Images. - Fatih Nar; Atilla Özgür; Ayse Nurdan Saran (IEEE Geosci. Remote. Sens. Lett., 2016)

Sparsity-Driven Despeckling for SAR Images. - Caner Ozcan; Baha Sen; Fatih Nar (IEEE Geosci. Remote. Sens. Lett., 2016)

Sparsity-driven multiplicative noise reduction. - Gülay Aksoy; Fatih Nar (SIU, 2017)

Parallelization of Sparsity-driven Change Detection method. - Atilla Özgür; Ayse Nurdan Saran; Fatih Nar (SIU, 2017)

Correlation-Based Variational Change Detection for Elevation Models. - Gizem Aktas; Fatih Nar; Fatos Tünay Yarman Vural (IGARSS, 2018)

Nonlinear Cook Distance for Anomalous Change Detection. - José Antonio Padrón-Hidalgo; Adrian Perez-Suay; Fatih Nar; Gustau Camps-Valls (IGARSS, 2018)

Randomized RX for Target Detection. - Fatih Nar; Adrian Perez-Suay; José Antonio Padrón; Gustau Camps-Valls (IGARSS, 2018)

Sparsity-Driven Digital Terrain Model Extraction. - Fatih Nar; Erdal Yilmaz; Gustau Camps-Valls (IGARSS, 2018)

SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm. - Fatih Nar (CoRR, 2018)

Fast target detection in radar images using Rayleigh Mixtures and Summed Area Tables. - Fatih Nar; Osman Erman Okman; Atilla Özgür; Müjdat Çetin (Digit. Signal Process., 2018)

Sparsity-driven weighted ensemble classifier. - Atilla Özgür; Fatih Nar; Hamit Erdem (Int. J. Comput. Intell. Syst., 2018)

RmSAT-CFAR: Fast and accurate target detection in radar images. - Fatih Nar; Osman Erman Okman; Atilla Özgür; Müjdat Çetin (SoftwareX, 2018)

Information-theoretic non-uniformity correction of infrared image sequences. - Fatih Nar; Atilla Özgür (SIU, 2020)

Effect of Dropout layer on Classical Regression Problems. - Atilla Özgür; Fatih Nar (SIU, 2020)

Multiplicative-additive despeckling in SAR images. - Gülay Aksoy; Fatih Nar (Turkish J. Electr. Eng. Comput. Sci., 2020)

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. - José Antonio Padrón-Hidalgo; Adrián Pérez-Suay; Fatih Nar; Valero Laparra; Gustau Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Performance Evaluation of Semi-Global Approaches for the Dense Image Matching of Stereo Satellite Images. - Sahim Giray Kivanç; Baha Sen; Ali Özgün Ok; Fatih Nar (SIU, 2021)

Perlin Random Erasing for Data Augmentation. - Murat Saran; Fatih Nar; Ayse Nurdan Saran (SIU, 2021)

Efficient Nonlinear RX Anomaly Detectors. - José Antonio Padrón-Hidalgo; Adrián Pérez-Suay; Fatih Nar; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2021)

Distribution-preserving data augmentation. - Ayse Nurdan Saran; Murat Saran; Fatih Nar (PeerJ Comput. Sci., 2021)

Fusing Census and MC-CNN Cost Volumes for Stereo Matching. - Sahim Giray Kivanç; Baha Sen; Ali Özgün Ok; Fatih Nar (Balt. J. Mod. Comput., 2022)

Differentiable Boundary Regularization. - Selen Çigdem; Fatih Nar; Dmitry Kudinov (IGARSS, 2024)

Fast binary logistic regression. - Ayse Nurdan Saran; Fatih Nar (PeerJ Comput. Sci., 2025)