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Gözde Ünal

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Papers by Gözde Ünal

Research paper thumbnail of Spray drying as a method of producing silk sericin powders

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Research paper thumbnail of Generating shapes by analogies: An application to hearing aid design

Computer-aided Design, 2011

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Research paper thumbnail of Efficient Classification of Scanned Media Using Spatial Statistics

International Journal of Pattern Recognition and Artificial Intelligence, 2010

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Research paper thumbnail of Multi-object segmentation using coupled nonparametric shape and relative pose priors

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Research paper thumbnail of The Nasal Septum: An Unusual Presentation of Metastatic Renal Cell Carcinoma

Journal of Craniofacial Surgery, 2009

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Research paper thumbnail of CAT EYE SENDROMU: OLGU SUNUMU

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Research paper thumbnail of Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences

Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of ... more Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel structures. The IVUS frames are acquired by pulling the catheter back with a motor running at a constant speed. However, during the pullback, some artifacts occur due to the beating heart. These artifacts cause inaccurate measurements for total vessel and lumen volume and limitation for further processing. Elimination of these artifacts are possible with an ECG (electrocardiogram) signal, which determines the time interval corresponding to a particular phase of the cardiac cycle. However, using ECG signal requires a special gating unit, which causes loss of important information about the vessel, and furthermore, ECG gating function may not be available in all clinical systems. To address this problem, we propose an image-based gating technique based on manifold learning. Quantitative tests are performed on 3 different patients, 6 different pullbacks and 24 different vessel cuts. In order to validate our method, the results of our method are compared to those of ECG-Gating method.

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Research paper thumbnail of Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure Segmentation

IEEE Transactions on Medical Imaging, 2010

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Research paper thumbnail of Cointegration and Extreme Value Analyses of Bovespa and the Istanbul Stock Exchange

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Research paper thumbnail of Cointegration and Extreme Value Analyses of Bovespa and the Istanbul Stock Exchange

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Research paper thumbnail of N

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Research paper thumbnail of Spray drying as a method of producing silk sericin powders

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Generating shapes by analogies: An application to hearing aid design

Computer-aided Design, 2011

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Efficient Classification of Scanned Media Using Spatial Statistics

International Journal of Pattern Recognition and Artificial Intelligence, 2010

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Multi-object segmentation using coupled nonparametric shape and relative pose priors

Bookmarks Related papers MentionsView impact

Research paper thumbnail of The Nasal Septum: An Unusual Presentation of Metastatic Renal Cell Carcinoma

Journal of Craniofacial Surgery, 2009

Bookmarks Related papers MentionsView impact

Research paper thumbnail of CAT EYE SENDROMU: OLGU SUNUMU

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Manifold Learning for Image-Based Gating of Intravascular Ultrasound(IVUS) Pullback Sequences

Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of ... more Intravascular Ultrasound(IVUS) is an imaging technology which provides cross-sectional images of internal coronary vessel structures. The IVUS frames are acquired by pulling the catheter back with a motor running at a constant speed. However, during the pullback, some artifacts occur due to the beating heart. These artifacts cause inaccurate measurements for total vessel and lumen volume and limitation for further processing. Elimination of these artifacts are possible with an ECG (electrocardiogram) signal, which determines the time interval corresponding to a particular phase of the cardiac cycle. However, using ECG signal requires a special gating unit, which causes loss of important information about the vessel, and furthermore, ECG gating function may not be available in all clinical systems. To address this problem, we propose an image-based gating technique based on manifold learning. Quantitative tests are performed on 3 different patients, 6 different pullbacks and 24 different vessel cuts. In order to validate our method, the results of our method are compared to those of ECG-Gating method.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure Segmentation

IEEE Transactions on Medical Imaging, 2010

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Research paper thumbnail of Cointegration and Extreme Value Analyses of Bovespa and the Istanbul Stock Exchange

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Cointegration and Extreme Value Analyses of Bovespa and the Istanbul Stock Exchange

Bookmarks Related papers MentionsView impact

Research paper thumbnail of N

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