Cigdem Gunduz Demir - researchr alias

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Viewing Publication 1 - 22 from 22

2023

2020

AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional NetworksGozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir. tmi, 39(12):4262-4273, 2020. [doi]

DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy imagesCan Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir. mia, 63:101720, 2020. [doi]

2019

Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue ImagesCan Taylan Sari, Cigdem Gunduz Demir. tmi, 38(5):1139-1149, 2019. [doi]

2015

Two-Tier Tissue Decomposition for Histopathological Image Representation and ClassificationTunc Gultekin, Can Fahrettin Koyuncu, Cenk Sokmensuer, Cigdem Gunduz Demir. tmi, 34(1):275-283, 2015. [doi]

2014

A supervised learning model for live cell segmentationCan Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir. siu 2014: 1971-1974 [doi]

Local Object Patterns for the Representation and Classification of Colon Tissue ImagesGulden Olgun, Cenk Sokmensuer, Cigdem Gunduz Demir. titb, 18(4):1390-1396, 2014. [doi]

2013

Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy ImagesSalim Arslan, Tulin Ersahin, Rengül Çetin-Atalay, Cigdem Gunduz Demir. tmi, 32(6):1121-1131, 2013. [doi]

Graph walks for classification of histopathological imagesGulden Olgun, Cenk Sokmensuer, Cigdem Gunduz Demir. In ISBI. 2013: 1126-1129 [doi]

A Hybrid Classification Model for Digital Pathology Using Structural and Statistical Pattern RecognitionErdem Ozdemir, Cigdem Gunduz Demir. tmi, 32(2):474-483, 2013. [doi]

2012

A Resampling-Based Markovian Model for Automated Colon Cancer DiagnosisErdem Ozdemir, Cenk Sokmensuer, Cigdem Gunduz Demir. tbe, 59(1):281-289, 2012. [doi]

Multilevel Segmentation of Histopathological Images Using Cooccurrence of Tissue ObjectsAhmet Cagri Simsek, Akif Burak Tosun, Cevdet Aykanat, Cenk Sokmensuer, Cigdem Gunduz Demir. tbe, 59(6):1681-1690, 2012. [doi]

2011

Tissue object patterns for segmentation in histopathological imagesCigdem Gunduz Demir. isabel 2011: [doi]

Graph Run-Length Matrices for Histopathological Image SegmentationAkif Burak Tosun, Cigdem Gunduz Demir. tmi, 30(3):721-732, 2011. [doi]

2010

2009

Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detectionAkif Burak Tosun, Melih Kandemir, Cenk Sokmensuer, Cigdem Gunduz Demir. PR, 42(6):1104-1112, 2009. [doi]

2007

Test-Cost Sensitive Classification Based on Conditioned Loss FunctionsMumin Cebe, Cigdem Gunduz Demir. ecml 2007: 551-558 [doi]

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