Journal Articles
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Tuncer, E; Unlu, MZ Handwriting recognition by derivative dynamic time warping methodology via sensor-based gesture recognition Journal Article Maejo International Journal of Science and Technology, 16 (1), pp. 72–88, 2022. BibTeX @article{pop00001_28,
title = {Handwriting recognition by derivative dynamic time warping methodology via sensor-based gesture recognition},
author = {E Tuncer and MZ Unlu},
year = {2022},
date = {2022-01-01},
journal = {Maejo International Journal of Science and Technology},
volume = {16},
number = {1},
pages = {72--88},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Sahin, A; Unlu, MZ Speech file compression by eliminating unvoiced/silence components Journal Article Sustainable Engineering and Innovation, 3 (1), pp. 11–14, 2021. BibTeX @article{pop00001s,
title = {Speech file compression by eliminating unvoiced/silence components},
author = {A Sahin and MZ Unlu},
year = {2021},
date = {2021-01-01},
journal = {Sustainable Engineering and Innovation},
volume = {3},
number = {1},
pages = {11--14},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Ergün, A; Ergun, S; Ünlü, MZ; Güngör, C A saliency-weighted orthogonal regression-based similarity measure for entropic graphs Journal Article Signal, Image and Video Processing, 13 (7), pp. 1377–1385, 2019. BibTeX @article{pop00003q,
title = {A saliency-weighted orthogonal regression-based similarity measure for entropic graphs},
author = {A Ergün and S Ergun and MZ Ünlü and C Güngör},
year = {2019},
date = {2019-01-01},
journal = {Signal, Image and Video Processing},
volume = {13},
number = {7},
pages = {1377--1385},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Göceri, Evgin; Ünlü, Mehmet Zübeyir; Dicle, Oʇuz A comparative performance evaluation of various approaches for liver segmentation from SPIR images Journal Article Turkish Journal of Electrical Engineering and Computer Sciences, 2015, ISSN: 13036203. Abstract | Links | BibTeX @article{Goceri2015,
title = {A comparative performance evaluation of various approaches for liver segmentation from SPIR images},
author = {Evgin Göceri and Mehmet Zübeyir Ünlü and Oʇuz Dicle},
doi = {10.3906/elk-1304-36},
issn = {13036203},
year = {2015},
date = {2015-01-01},
journal = {Turkish Journal of Electrical Engineering and Computer Sciences},
abstract = {textcopyright TÜBITAK. Developing a robust method for liver segmentation from magnetic resonance images is a challenging task because of the similar intensity values between adjacent organs, the geometrically complex liver structure, and injection of contrast media. Most importantly, a high anatomical variability of a healthy or diseased liver is a major challenge in defining the exact boundaries of the liver. Several artifacts of pulsation, motion, and partial volume effects are also among the variety of factors that make automatic liver segmentation difficult. In this paper, we present an overview of liver segmentation methods in magnetic resonance images and show comparative results of seven different pseudo-3D liver segmentation approaches chosen from deterministic (K-means-based), probabilistic (Gaussian model-based), supervised neural network (multilayer perceptron-based), and deformable model-based (level set) segmentation methods. The results of quantitative and qualitative analyses using sensitivity, specificity, and accuracy metrics show that the multilayer perceptron-based approach and a level set-based approach, both of which use distance regularization terms and signed pressure force function, are the most successful methods for liver segmentation from spectral presaturation inversion recovery (SPIR) images. However, the multilayer perceptron-based segmentation method has a higher computational cost. The automatic method using the distance regularized level set evolution with signed pressure force function avoids the sensitivity of a user-defined initial contour for each slice, gives the most efficient results for liver segmentation after the preprocessing steps, and also requires less computational time.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
textcopyright TÜBITAK. Developing a robust method for liver segmentation from magnetic resonance images is a challenging task because of the similar intensity values between adjacent organs, the geometrically complex liver structure, and injection of contrast media. Most importantly, a high anatomical variability of a healthy or diseased liver is a major challenge in defining the exact boundaries of the liver. Several artifacts of pulsation, motion, and partial volume effects are also among the variety of factors that make automatic liver segmentation difficult. In this paper, we present an overview of liver segmentation methods in magnetic resonance images and show comparative results of seven different pseudo-3D liver segmentation approaches chosen from deterministic (K-means-based), probabilistic (Gaussian model-based), supervised neural network (multilayer perceptron-based), and deformable model-based (level set) segmentation methods. The results of quantitative and qualitative analyses using sensitivity, specificity, and accuracy metrics show that the multilayer perceptron-based approach and a level set-based approach, both of which use distance regularization terms and signed pressure force function, are the most successful methods for liver segmentation from spectral presaturation inversion recovery (SPIR) images. However, the multilayer perceptron-based segmentation method has a higher computational cost. The automatic method using the distance regularized level set evolution with signed pressure force function avoids the sensitivity of a user-defined initial contour for each slice, gives the most efficient results for liver segmentation after the preprocessing steps, and also requires less computational time. |
Ozsahin, I; Unlu, MZ Modeling and simulation of Positron Emission Mammography (PEM) based on double-sided CdTe strip detectors Journal Article Journal of Instrumentation 9 (03), C, 3055 , 2014. BibTeX @article{pop00010g,
title = {Modeling and simulation of Positron Emission Mammography (PEM) based on double-sided CdTe strip detectors},
author = {I Ozsahin and MZ Unlu},
year = {2014},
date = {2014-01-01},
journal = {Journal of Instrumentation 9 (03), C},
volume = {3055},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Goceri, E; Unlu, MZ; Guzelis, C; Dicle, O An automatic level set based liver segmentation from MRI data sets Journal Article 2012 3rd international conference on image processing theory, tools and …, 2012. BibTeX @article{pop00005g,
title = {An automatic level set based liver segmentation from MRI data sets},
author = {E Goceri and MZ Unlu and C Guzelis and O Dicle},
year = {2012},
date = {2012-01-01},
journal = {2012 3rd international conference on image processing theory, tools and …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Król, A; Magri, A; Mandel, JA; Lee, W; Baum, KG; Lipson, ED; ..., Computerized method for nonrigid MR-to-PET breast-image registration Journal Article Computers in biology and medicine, 40 (1), pp. 37–53, 2010. BibTeX @article{pop00002b,
title = {Computerized method for nonrigid MR-to-PET breast-image registration},
author = {MZ Unlu and A Król and A Magri and JA Mandel and W Lee and KG Baum and ED Lipson and ...},
year = {2010},
date = {2010-01-01},
journal = {Computers in biology and medicine},
volume = {40},
number = {1},
pages = {37--53},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Magri, A; Krol, A; Unlu, M; Lipson, E; Mandel, J; McGraw, W; Lee, W; Coman, I; ..., Nonrigid registration of dynamic breast F-18-FDG PET/CT images using deformable FEM model and CT image warping Journal Article Medical Imaging, 65120D-65120D, 11 , 2007. BibTeX @article{pop00011f,
title = {Nonrigid registration of dynamic breast F-18-FDG PET/CT images using deformable FEM model and CT image warping},
author = {A Magri and A Krol and M Unlu and E Lipson and J Mandel and W McGraw and W Lee and I Coman and ...},
year = {2007},
date = {2007-01-01},
journal = {Medical Imaging, 65120D-65120D},
volume = {11},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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MAGRI, A; KROL, A; UNLU, M; LIPSON, E; MANDEL, J; MCGRAW, W; LEE, W; ..., Nonrigid registration of dynamic-breast F-18-FDG PET Journal Article Progress in biomedical optics and imaging, 8 (31), 2007. BibTeX @article{pop00017e,
title = {Nonrigid registration of dynamic-breast F-18-FDG PET},
author = {A MAGRI and A KROL and M UNLU and E LIPSON and J MANDEL and W MCGRAW and W LEE and ...},
year = {2007},
date = {2007-01-01},
journal = {Progress in biomedical optics and imaging},
volume = {8},
number = {31},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Krol, A; Unlu, MZ; Baum, KG; Mandel, JA; Lee, W; Coman, IL; Lipson, ED; ..., MRI/PET nonrigid breast-image registration using skin fiducial markers Journal Article Physica Medica, 21 , pp. 39–43, 2006. BibTeX @article{pop00001g,
title = {MRI/PET nonrigid breast-image registration using skin fiducial markers},
author = {A Krol and MZ Unlu and KG Baum and JA Mandel and W Lee and IL Coman and ED Lipson and ...},
year = {2006},
date = {2006-01-01},
journal = {Physica Medica},
volume = {21},
pages = {39--43},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Krol, A; Unlu, MZ; Magri, A; Lipson, E; Coman, IL; Mandel, JA; Baum, KG; ..., Iterative finite element deformable model for nonrigid coregistration of multimodal breast images Journal Article 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006. BibTeX @article{pop00003g,
title = {Iterative finite element deformable model for nonrigid coregistration of multimodal breast images},
author = {A Krol and MZ Unlu and A Magri and E Lipson and IL Coman and JA Mandel and KG Baum and ...},
year = {2006},
date = {2006-01-01},
journal = {3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Baum, KG; Helguera, M; Hornak, JP; Kerekes, JP; Montag, ED; Unlu, MZ; ..., Techniques for fusion of multimodal images: Application to breast imaging Journal Article 2006 International Conference on Image Processing, pp. 2521–2524, 2006. BibTeX @article{pop00004e,
title = {Techniques for fusion of multimodal images: Application to breast imaging},
author = {KG Baum and M Helguera and JP Hornak and JP Kerekes and ED Montag and MZ Unlu and ...},
year = {2006},
date = {2006-01-01},
journal = {2006 International Conference on Image Processing},
pages = {2521--2524},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Krol, A; Magri, A; Unlu, M; Feiglin, D; Lipson, E; Mandel, J; Tillapaugh-Fay, G; ..., Motion correction via nonrigid coregistration of dynamic MR mammography series Journal Article Medical Imaging 2006: Image Processing, 6144 , pp. 614439–614439, 2006. BibTeX @article{pop00012e,
title = {Motion correction via nonrigid coregistration of dynamic MR mammography series},
author = {A Krol and A Magri and M Unlu and D Feiglin and E Lipson and J Mandel and G Tillapaugh-Fay and ...},
year = {2006},
date = {2006-01-01},
journal = {Medical Imaging 2006: Image Processing},
volume = {6144},
pages = {614439--614439},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Krol, A; Magri, A; Unlu, M; Feiglin, D; Lipson, E; Mandel, J; Tillapaugh-Fay, G; ..., Motion correction via nonrigid coregistration of dynamic MR mammography series Journal Article Medical Imaging, 614439-, pp. 614439–7, 2006. BibTeX @article{pop00013g,
title = {Motion correction via nonrigid coregistration of dynamic MR mammography series},
author = {A Krol and A Magri and M Unlu and D Feiglin and E Lipson and J Mandel and G Tillapaugh-Fay and ...},
year = {2006},
date = {2006-01-01},
journal = {Medical Imaging, 614439-},
pages = {614439--7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Krol, A; Unlu, MZ; Magri, A; Feiglin, DH; Lipson, ED; Coman, IL; Mandel, JA; ..., Accurate PET/CT/MRI breast image fusion for improved breast cancer detection Journal Article EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 33, S190-S, 190 , 2006. BibTeX @article{pop00018h,
title = {Accurate PET/CT/MRI breast image fusion for improved breast cancer detection},
author = {A Krol and MZ Unlu and A Magri and DH Feiglin and ED Lipson and IL Coman and JA Mandel and ...},
year = {2006},
date = {2006-01-01},
journal = {EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 33, S190-S},
volume = {190},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Magri, A; Krol, A; Unlu, MZ; Feiglin, DH; Lipson, ED; Mandel, JA; Lee, W; ..., Advanced dynamic F-18-FDG PET/CT breast cancer imaging Journal Article EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 33, S252-S, 252 , 2006. BibTeX @article{pop00019j,
title = {Advanced dynamic F-18-FDG PET/CT breast cancer imaging},
author = {A Magri and A Krol and MZ Unlu and DH Feiglin and ED Lipson and JA Mandel and W Lee and ...},
year = {2006},
date = {2006-01-01},
journal = {EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 33, S252-S},
volume = {252},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Krol, A; Magri, A; Feiglin, DH; Mandel, JA; Lipson, ED; Coman, IL; ..., Iterative deformable FEM model for nonrigid PET/MRI breast image coregistration Journal Article Medical Imaging 2006: Image Processing, 6144 , pp. 614435–614435, 2006. BibTeX @article{pop00020h,
title = {Iterative deformable FEM model for nonrigid PET/MRI breast image coregistration},
author = {MZ Unlu and A Krol and A Magri and DH Feiglin and JA Mandel and ED Lipson and IL Coman and ...},
year = {2006},
date = {2006-01-01},
journal = {Medical Imaging 2006: Image Processing},
volume = {6144},
pages = {614435--614435},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Krol, A; Magri, A; Feiglin, DH; Mandel, JA; Lipson, ED; Coman, IL; ..., Iterative deformable FEM model for nonrigid PET/MRI breast image coregistration Journal Article Medical Imaging 2006: Image Processing, 6144 , pp. 614435–614435, 2006. BibTeX @article{pop00021g,
title = {Iterative deformable FEM model for nonrigid PET/MRI breast image coregistration},
author = {MZ Unlu and A Krol and A Magri and DH Feiglin and JA Mandel and ED Lipson and IL Coman and ...},
year = {2006},
date = {2006-01-01},
journal = {Medical Imaging 2006: Image Processing},
volume = {6144},
pages = {614435--614435},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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UNLU, MZ; KROL, A; MAGRI, A; FEIGLIN, DH; MANDEL, JA; LIPSON, ED; ..., Iterative deformable FEM model for nonrigid PET Journal Article Progress in biomedical optics and imaging, 7 (30), 2006. BibTeX @article{pop00022f,
title = {Iterative deformable FEM model for nonrigid PET},
author = {MZ UNLU and A KROL and A MAGRI and DH FEIGLIN and JA MANDEL and ED LIPSON and ...},
year = {2006},
date = {2006-01-01},
journal = {Progress in biomedical optics and imaging},
volume = {7},
number = {30},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Krol, A; Coman, IL; Mandel, JA; Baum, KG; Lee, W; Lipson, ED; ..., Deformable model for 3D intramodal nonrigid breast image registration with fiducial skin markers Journal Article Medical Imaging, pp. 1528–1534, 2005. BibTeX @article{pop00008g,
title = {Deformable model for 3D intramodal nonrigid breast image registration with fiducial skin markers},
author = {MZ Unlu and A Krol and IL Coman and JA Mandel and KG Baum and W Lee and ED Lipson and ...},
year = {2005},
date = {2005-01-01},
journal = {Medical Imaging},
pages = {1528--1534},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Krol, A; Feiglin, DH; Unlu, MZ; Mandel, JA; Magri, A; Lee, W; Coman, IL; ..., New Approach to F-18-FDG PET Dynamic Data Acquisition and Analysis for Breast Cancer Imaging Journal Article EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 32, S150-S, 150 , 2005. BibTeX @article{pop00023g,
title = {New Approach to F-18-FDG PET Dynamic Data Acquisition and Analysis for Breast Cancer Imaging},
author = {A Krol and DH Feiglin and MZ Unlu and JA Mandel and A Magri and W Lee and IL Coman and ...},
year = {2005},
date = {2005-01-01},
journal = {EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 32, S150-S},
volume = {150},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Krol, A; Feiglin, DH; Mandel, JA; Lee, W; Coman, IL; Lipson, ED Fusion of F-18-FDG PET and MR Mammography via Nonrigid Breast-Image Registration Journal Article EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 32, S77-S, 77 , 2005. BibTeX @article{pop00024g,
title = {Fusion of F-18-FDG PET and MR Mammography via Nonrigid Breast-Image Registration},
author = {MZ Unlu and A Krol and DH Feiglin and JA Mandel and W Lee and IL Coman and ED Lipson},
year = {2005},
date = {2005-01-01},
journal = {EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 32, S77-S},
volume = {77},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Coman, I; Krol, A; Feiglin, D; Lipson, E; Mandel, J; Baum, K; Unlu, M; Li, W Intermodality nonrigid breast-image registration Journal Article 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …, 2004. BibTeX @article{pop00006g,
title = {Intermodality nonrigid breast-image registration},
author = {I Coman and A Krol and D Feiglin and E Lipson and J Mandel and K Baum and M Unlu and W Li},
year = {2004},
date = {2004-01-01},
journal = {2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Yilmaz, M Alt Bandlarına Ayrılmış Video Sinyalleri İçin Optimum Kodlama Yöntemlerinin Araştırılması Journal Article 5. Sinyal İşleme ve Uygulamaları Kurultayı, 2 , pp. 639–643, 1997. BibTeX @article{pop00025e,
title = {Alt Bandlarına Ayrılmış Video Sinyalleri İçin Optimum Kodlama Yöntemlerinin Araştırılması},
author = {MZ Unlu and M Yilmaz},
year = {1997},
date = {1997-01-01},
journal = {5. Sinyal İşleme ve Uygulamaları Kurultayı},
volume = {2},
pages = {639--643},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Unlu, MZ; Yilmaz, M Investigation of Optimum Coding Methods for Subband Video and Image Signals Journal Article 5. Sinyal İşleme ve Uygulamaları Kurultayı, 2 , pp. 639–643, 1997. BibTeX @article{pop00026d,
title = {Investigation of Optimum Coding Methods for Subband Video and Image Signals},
author = {MZ Unlu and M Yilmaz},
year = {1997},
date = {1997-01-01},
journal = {5. Sinyal İşleme ve Uygulamaları Kurultayı},
volume = {2},
pages = {639--643},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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Inproceedings
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Ergun, Asli; Ergun, Serkan; Unlu, Mehmet Zubeyir; Gungor, Cengiz Registration and optimization in entropic graphs using branch skeleton features Inproceedings 2017. Abstract | Links | BibTeX @inproceedings{Ergun2017,
title = {Registration and optimization in entropic graphs using branch skeleton features},
author = {Asli Ergun and Serkan Ergun and Mehmet Zubeyir Unlu and Cengiz Gungor},
doi = {10.1109/siu.2017.7960448},
year = {2017},
date = {2017-01-01},
abstract = {textcopyright 2017 IEEE. In image registration process, it is necessary to find the similarity of the images and the translation, rotation and scaling transformation parameter values that maximize the similarity between the two images. When the similarity measure and related parameters are calculated, information theory based entropic graphs can be used. In this study, similarity and optimization measures are compared on different entropic graphs. It has been seen that skeleton branch feature points to build entropic graphs give successful results.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
textcopyright 2017 IEEE. In image registration process, it is necessary to find the similarity of the images and the translation, rotation and scaling transformation parameter values that maximize the similarity between the two images. When the similarity measure and related parameters are calculated, information theory based entropic graphs can be used. In this study, similarity and optimization measures are compared on different entropic graphs. It has been seen that skeleton branch feature points to build entropic graphs give successful results. |
Tuncer, Esra; Olcay, Bilal Orkan; Unlu, Mehmet Zubeyir Handwritten character recognition using Empirical Mode Decomposition applied writing movements Inproceedings 2017. Abstract | Links | BibTeX @inproceedings{Tuncer2017,
title = {Handwritten character recognition using Empirical Mode Decomposition applied writing movements},
author = {Esra Tuncer and Bilal Orkan Olcay and Mehmet Zubeyir Unlu},
doi = {10.1109/siu.2017.7960527},
year = {2017},
date = {2017-01-01},
abstract = {textcopyright 2017 IEEE. In this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the actual movement signal as well as noise. Before the recognition step, all of the signals need to be preprocessed and the noisy parts need to be removed. So, Empirical Mode Decomposition (EMD) and normalization preprocessing steps are applied to the signals. Finally, the signals in the dataset are compared with Dynamic Time Warping for classification and accurate classification rate of 91.92% is obtained.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
textcopyright 2017 IEEE. In this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the actual movement signal as well as noise. Before the recognition step, all of the signals need to be preprocessed and the noisy parts need to be removed. So, Empirical Mode Decomposition (EMD) and normalization preprocessing steps are applied to the signals. Finally, the signals in the dataset are compared with Dynamic Time Warping for classification and accurate classification rate of 91.92% is obtained. |
Tuncer, Esra; Unlu, Mehmet Zubeyir Accelerometer based handwritten character recognition using Dynamic Time Warping method Inproceedings 2016. Links | BibTeX @inproceedings{Tuncer2016,
title = {Accelerometer based handwritten character recognition using Dynamic Time Warping method},
author = {Esra Tuncer and Mehmet Zubeyir Unlu},
doi = {10.1109/siu.2016.7496112},
year = {2016},
date = {2016-01-01},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Miscellaneous
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Unlu, MZ Iterative deformable finite element model for nonrigid 3D PET/MRI breast image registration Miscellaneous 2006. BibTeX @misc{pop00014g,
title = {Iterative deformable finite element model for nonrigid 3D PET/MRI breast image registration},
author = {MZ Unlu},
year = {2006},
date = {2006-01-01},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
|
