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Devrim Ünay
Person information
- affiliation: İzmir University of Economics, Faculty of Engineering and Computer Sciences
- affiliation: Bahçeşehir University, Faculty of Engineering and Natural Sciences
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2020 – today
- 2024
- [j18]Yusuf Sait Erdem
, Leonardo Obinna Iheme
Novel Neural Style Transfer based data synthesis method for phase-contrast wound healing assay images. Biomed. Signal Process. Control. 96: 106514 (2024) - [j17]Kenan Morani
COVID-19 Detection from Computed Tomography Images Using Slice Processing Techniques and a Modified Xception Classifier. Int. J. Biomed. Imaging 2024: 1-9 (2024) - 2023
- [j16]Kenan Morani
Deep learning-based automated COVID-19 classification from computed tomography images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2145-2160 (2023) - 2022
- [j15]Devrim Ünay
Deep learning based automatic grading of bi-colored apples using multispectral images. Multim. Tools Appl. 81(27): 38237-38252 (2022) - [j14]Refik Soyak
Channel Attention Networks for Robust MR Fingerprint Matching. IEEE Trans. Biomed. Eng. 69(4): 1398-1405 (2022) - [i5]Kenan Morani
Covid-19 Detection Using Transfer Learning Approach from Computed Temography Images. CoRR abs/2207.00259 (2022) - 2021
- [j13]Aydin Ayanzadeh
Improved cell segmentation using deep learning in label-free optical microscopy images. Turkish J. Electr. Eng. Comput. Sci. 29(SI-1): 2855-2868 (2021) - [i4]Kenan Morani, Devrim Ünay:
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images. CoRR abs/2111.11191 (2021) - 2020
- [j12]Ulysse Rubens
BIAFLOWS: A Collaborative Framework to Reproducibly Deploy and Benchmark Bioimage Analysis Workflows. Patterns 1(3): 100040 (2020) - [c46]Aydin Ayanzadeh
Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images. SIU 2020: 1-4 - [i3]Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz:
Channel Attention Networks for Robust MR Fingerprinting Matching. CoRR abs/2012.01241 (2020)
2010 – 2019
- 2019
- [c45]Ertunc Erdil, Ali Ozgur Argunsah
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. ISBI 2019: 204-207 - [c44]Ozkan Cigdem
Classification of Patients with Bipolar Disorder and Their Healthy Siblings from Healthy Controls Using MRI. MeMeA 2019: 1-6 - [c43]Ozkan Cigdem, Hasan Demirel, Devrim Ünay:
The Performance of Local-Learning Based Clustering Feature Selection Method on the Diagnosis of Parkinson's Disease Using Structural MRI. SMC 2019: 1286-1291 - [c42]Umut Avci, Gamze Akkurt, Devrim Ünay:
A Pattern Mining Approach in Feature Extraction for Emotion Recognition from Speech. SPECOM 2019: 54-63 - [i2]Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining nonparametric spatial context priors with nonparametric shape priors for dendritic spine segmentation in 2-phoyon microscopy images. CoRR abs/1901.02513 (2019) - 2018
- [j11]Devrim Ünay
An Evaluation on the Robustness of Five Popular Keypoint Descriptors to Image Modifications Specific to Laser Scanning Microscopy. IEEE Access 6: 40154-40164 (2018) - [c41]Ahmet Ekin, Devrim Ünay:
Blockchain applications in healthcare. SIU 2018: 1-4 - [c40]Devrim Ünay, Stefan G. Stanciu
Robustness of sift feature descriptors to imaging parameters in laser scanning microscopy. SIU 2018: 1-4 - 2017
- [j10]Ertunc Erdil
Nonparametric Joint Shape and Feature Priors for Image Segmentation. IEEE Trans. Image Process. 26(11): 5312-5323 (2017) - [j9]Henning Müller
Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review. IEEE Trans. Multim. 19(9): 2093-2104 (2017) - [c39]Naeimeh Atabakilachini, Ertunc Erdil, Ali Ozgur Argunsah
Coupled shape priors for dynamic segmentation of dendritic spines. SIU 2017: 1-4 - [c38]Erdem Bocugoz, Ertunc Erdil, Ali Ozgur Argunsah
3B dendritic spine segmentation using nonparametric shape priors. SIU 2017: 1-4 - 2016
- [c37]Muhammad Usman Ghani, Ertunç Erdil, Sümeyra Demir Kanik
Dendritic Spine Shape Analysis: A Clustering Perspective. ECCV Workshops (1) 2016: 256-273 - [c36]Muhammad Usman Ghani, Ali Ozgur Argunsah
On comparison of manifold learning techniques for dendritic spine classification. ISBI 2016: 339-342 - [c35]Ertunc Erdil, Lavdie Rada, Ali Ozgur Argunsah
Nonparametric joint shape and feature priors for segmentation of dendritic spines. ISBI 2016: 343-346 - [c34]Muhammad Usman Ghani, Fitsum Mesadi, Sumeyra Demir Kanik
Dendritic spine shape analysis using disjunctive normal shape models. ISBI 2016: 347-350 - [c33]Muhammad Usman Ghani, Sumeyra Demir Kanik
Dendritic spine classification based on two-photon microscopic images using sparse representation. SIU 2016: 1177-1180 - [i1]Muhammad Usman Ghani, Ertunc Erdil, Sumeyra Demir Kanik, Ali Ozgur Argunsah, Anna Felicity Hobbiss, Inbal Israely, Devrim Ünay, Tolga Tasdizen, Müjdat Çetin:
Dendritic Spine Shape Analysis: A Clustering Perspective. CoRR abs/1607.05523 (2016) - 2015
- [j8]David M. Cash
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123: 149-164 (2015) - [c32]Ertunc Erdil, Ali Ozgur Argunsah
A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. ISBI 2015: 797-800 - [c31]Muhammad Usman Ghani
Dendritic spine shape classification from two-photon microscopy images. SIU 2015: 939-942 - [c30]Bike Kilic, Lavdie Rada, Ertunc Erdil, Ali Ozgur Argunsah
Automated dendritic spine tracking on 2-photon microscopic images. SIU 2015: 1873-1876 - 2014
- [j7]Rina Dewi Rudyanto, Sjoerd Kerkstra, Eva M. van Rikxoort
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study. Medical Image Anal. 18(7): 1217-1232 (2014) - [c29]Kemal Egemen Ozden, Devrim Ünay, Huseyin Inan, Bahtiyar Kaba, Ovgu Ozturk Ergun:
Intelligent Interactive Applications for Museum Visits. EuroMed 2014: 555-563 - [c28]Lavdie Rada, Ertunc Erdil, Ali Ozgur Argunsah
Automatic dendritic spine detection using multiscale dot enhancement filters and SIFT features. ICIP 2014: 26-30 - [c27]Gokhan Gokay, Melek Kandemir
Comparison of cerebral atrophy grade with sizes of lateral ventricle and central sulci. SIU 2014: 518-521 - [c26]Fehmi Volkan Ozdemir, Anil Fettahoglu, Devrim Ünay:
Content and context based similarity for disease diagnosis. SIU 2014: 1446-1449 - 2013
- [j6]Hortense A. Kirisli, Michiel Schaap, Coert Metz, A. S. Dharampal, W. B. Meijboom, S. L. Papadopoulou
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Anal. 17(8): 859-876 (2013) - [j5]Mert Kaya, Devrim Ünay:
DressBoard: An Embedded Virtual Try-On System for Ties and Bowties. J. Signal Process. Syst. 73(2): 143-152 (2013) - [c25]Ertunc Erdil, Ali Ozgur Argunsah
A watershed and active contours based method for dendritic spine segmentation in 2-photon microscopy images. SIU 2013: 1-4 - [c24]Leonardo O. Iheme
Concordance between computer-based neuroimaging findings and expert assessments in dementia grading. SIU 2013: 1-4 - [c23]Tugberk Kocatekin
Text mining in radiology reports. SIU 2013: 1-4 - [c22]Ilkay Öksüz
Region growing on frangi vesselness values in 3-D CTA data. SIU 2013: 1-4 - [c21]Devrim Ünay, Ibrahim Harmankaya, Ilkay Öksüz
Automated aortic supravalvular sinus detection in conventional computed tomography image. SIU 2013: 1-4 - [c20]A. Murat Yagci
Biomedical image time series registration with particle filtering. SIU 2013: 1-4 - 2012
- [j4]Devrim Ünay:
Local and global volume changes of subcortical brain structures from longitudinally varying neuroimaging data for dementia identification. Comput. Medical Imaging Graph. 36(6): 464-473 (2012) - [c19]Ertunc Erdil, A. Murat Yagci
A tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation. IPTA 2012: 167-171 - [c18]Osman Baskaya, Melek Kandemir, M. Savas Tepe, M. Acar, Gözde B. Ünal
Inter-hemispheric atrophy better correlates with expert ratings than hemispheric cortical atrophy. SIU 2012: 1-4 - 2011
- [j3]Süreyya Özögür-Akyüz, Devrim Ünay, Alexander J. Smola:
Guest editorial: model selection and optimization in machine learning. Mach. Learn. 85(1-2): 1-2 (2011) - [c17]Devrim Ünay, Ahmet Ekin:
Dementia diagnosis using similar and dissimilar retrieval items. ISBI 2011: 1889-1892 - [c16]Yu Cao, Jayashree Kalpathy-Cramer
Medical multimedia analysis and retrieval. ACM Multimedia 2011: 617-618 - 2010
- [j2]Devrim Ünay, Ahmet Ekin, Radu S. Jasinschi:
Local structure-based region-of-interest retrieval in brain MR images. IEEE Trans. Inf. Technol. Biomed. 14(4): 897-903 (2010) - [j1]Mustafa Gökhan Uzunbas, Octavian Soldea, Devrim Ünay, Mert Cetin, Gözde B. Ünal
Coupled Nonparametric Shape and Moment-Based Intershape Pose Priors for Multiple Basal Ganglia Structure Segmentation. IEEE Trans. Medical Imaging 29(12): 1959-1978 (2010) - [c15]Octavian Soldea, Ahmet Ekin, Diana F. Soldea, Devrim Ünay, Müjdat Çetin
Segmentation of Anatomical Structures in Brain MR Images Using Atlases in FSL - A Quantitative Approach. ICPR 2010: 2592-2595 - [c14]Devrim Ünay:
Augmenting clinical observations with visual features from longitudinal MRI data for improved dementia diagnosis. Multimedia Information Retrieval 2010: 193-200 - [e1]Devrim Ünay, Zehra Çataltepe, Selim Aksoy:
Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests, Istanbul, Turkey, August 23-26, 2010, Contest Reports. Lecture Notes in Computer Science 6388, Springer 2010, ISBN 978-3-642-17710-1 [contents]
2000 – 2009
- 2009
- [c13]Mustafa Gökhan Uzunbas, Octavian Soldea, Müjdat Çetin
Multi-object segmentation using coupled nonparametric shape and relative pose priors. Computational Imaging 2009: 72460 - [c12]Ceyhun Burak Akgül, Devrim Ünay, Ahmet Ekin:
Automated diagnosis of Alzheimer's disease using image similarity and user feedback. CIVR 2009 - [c11]Devrim Ünay, Octavian Soldea, Süreyya Özögür-Akyüz, Müjdat Çetin
Automated X-Ray Image Annotation - Single versus Ensemble of Support Vector Machines. CLEF (2) 2009: 247-254 - [c10]Devrim Ünay, Octavian Soldea, Süreyya Özögür-Akyüz, Müjdat Çetin, Aytül Erçil:
Medical Image Retrieval and Automatic Annotation: VPA-SABANCI at ImageCLEF 2009. CLEF (Working Notes) 2009 - [c9]Vincent Jeanne, Devrim Ünay, Vincent Jacquet:
Automatic detection of body parts in x-ray images. CVPR Workshops 2009: 25-30 - [c8]M. Gökhan Uzunbas, Octavian Soldea, Müjdat Çetin
Volumetric Segmentation of Multiple Basal Ganglia Structures using Nonparametric Coupled shape and Inter-Shape Pose Priors. ISBI 2009: 29-32 - [c7]Devrim Ünay, Octavian Soldea, Ahmet Ekin, Müjdat Çetin
Automatic Annotation of X-Ray Images: A Study on Attribute Selection. MCBR-CDS 2009: 97-109 - [c6]Jingnan Wang, Gerard de Haan, Devrim Ünay, Octavian Soldea, Ahmet Ekin:
Voxel-based discriminant map classification on brain ventricles for Alzheimer's disease. Medical Imaging: Image Processing 2009: 72591W - 2008
- [c5]Devrim Ünay, Ahmet Ekin, Radu S. Jasinschi:
Medical image search and retrieval using local binary patterns and KLT feature points. ICIP 2008: 997-1000 - [c4]Devrim Ünay, Ahmet Ekin:
Intensity versus texture for medical image search and retrival. ISBI 2008: 241-244 - 2005
- [c3]Devrim Ünay, Bernard Gosselin:
Thresholding-based segmentation and apple grading by machine vision. EUSIPCO 2005: 1-4 - [c2]Devrim Ünay, Bernard Gosselin:
Artificial neural network-based segmentation and apple grading by machine vision. ICIP (2) 2005: 630-633 - 2004
- [c1]Devrim Ünay, Bernard Gosselin:
Stem-End/Calyx Detection in Apple Fruits - Comparison of Feature Selection Methods and Classifiers. ICCVG 2004: 420-425
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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