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ORCIDCigdem Demir
Person information
- affiliation: Koc University, Istanbul, Turkey
- affiliation (former): Bilkent University, Ankara, Turkey
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2020 – today
- 2024
[j22]Marjan Firouznia
, Javad Alikhani Koupaei, Karim Faez, Aziza Saber Jabdaragh, Cigdem Gunduz Demir:
FractalRG: Advanced fractal region growing using Gaussian mixture models for left atrium segmentation. Digit. Signal Process. 147: 104411 (2024)- 2023
- [j21]Aziza Saber Jabdaragh, Marjan Firouznia, Karim Faez, Fariba Alikhani, Javad Alikhani Koupaei, Cigdem Gunduz Demir:
MTFD-Net: Left atrium segmentation in CT images through fractal dimension estimation. Pattern Recognit. Lett. 173: 108-114 (2023) - [j20]Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas, Zeynep Kulali, Murat Hasanreisoglu, Cigdem Gunduz Demir:
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images. IEEE J. Biomed. Health Informatics 27(2): 1036-1047 (2023) - [c8]Mehmet Bahadir Erden, Selahattin Cansiz, Cigdem Gunduz Demir:
Histopathological Classification of Colon Tissue Images with Self-Supervised Models. SIU 2023: 1-4 - [i6]Seher Ozcelik, Sinan Unver, Ilke Ali Gurses, Rustu Turkay, Cigdem Gunduz Demir:
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images. CoRR abs/2307.03137 (2023) - [i5]Mehmet Bahadir Erden, Selahattin Cansiz, Onur Caki, Haya Khattak, Durmus Etiz, Melek Cosar Yakar, Kerem Duruer, Berke Barut, Cigdem Gunduz Demir:
FourierLoss: Shape-Aware Loss Function with Fourier Descriptors. CoRR abs/2309.12106 (2023) - 2022
- [i4]Selahattin Cansiz, Cem Kesim, Sevval Nur Bektas, Zeynep Kulali, Murat Hasanreisoglu, Cigdem Gunduz Demir:
FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images. CoRR abs/2201.06435 (2022) - 2020
- [j19]Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images. Medical Image Anal. 63: 101720 (2020) - [j18]Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks. IEEE Trans. Medical Imaging 39(12): 4262-4273 (2020) - [i3]C. T. Sari, Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks. CoRR abs/2001.11202 (2020)
2010 – 2019
- 2019
- [j17]Can Taylan Sari, Cigdem Gunduz Demir:
Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images. IEEE Trans. Medical Imaging 38(5): 1139-1149 (2019) - [i2]Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir:
AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks. CoRR abs/1908.02095 (2019) - [i1]Can Fahrettin Koyuncu, Gozde Nur Gunesli, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images. CoRR abs/1908.11211 (2019) - 2016
- [j16]Ömer Civalek, Cigdem Demir:
A simple mathematical model of microtubules surrounded by an elastic matrix by nonlocal finite element method. Appl. Math. Comput. 289: 335-352 (2016) - 2015
- [j15]Tunç Gültekin, Can Fahrettin Koyuncu, Cenk Sokmensuer, Cigdem Gunduz Demir:
Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification. IEEE Trans. Medical Imaging 34(1): 275-283 (2015) - 2014
- [j14]Gulden Olgun, Cenk Sokmensuer, Cigdem Gunduz Demir:
Local Object Patterns for the Representation and Classification of Colon Tissue Images. IEEE J. Biomed. Health Informatics 18(4): 1390-1396 (2014) - [c7]Can Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
A supervised learning model for live cell segmentation. SIU 2014: 1971-1974 - 2013
- [j13]Erdem Ozdemir, Cigdem Gunduz Demir:
A Hybrid Classification Model for Digital Pathology Using Structural and Statistical Pattern Recognition. IEEE Trans. Medical Imaging 32(2): 474-483 (2013) - [j12]Salim Arslan, Tulin Ersahin, Rengül Çetin-Atalay, Cigdem Gunduz Demir:
Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images. IEEE Trans. Medical Imaging 32(6): 1121-1131 (2013) - [c6]Gulden Olgun, Cenk Sokmensuer, Cigdem Gunduz Demir:
Graph walks for classification of histopathological images. ISBI 2013: 1126-1129 - 2012
- [j11]Erdem Ozdemir, Cenk Sokmensuer, Cigdem Gunduz Demir:
A Resampling-Based Markovian Model for Automated Colon Cancer Diagnosis. IEEE Trans. Biomed. Eng. 59(1): 281-289 (2012) - [j10]Ahmet Cagri Simsek, Akif Burak Tosun, Cevdet Aykanat, Cenk Sokmensuer, Cigdem Gunduz Demir:
Multilevel Segmentation of Histopathological Images Using Cooccurrence of Tissue Objects. IEEE Trans. Biomed. Eng. 59(6): 1681-1690 (2012) - 2011
- [j9]Cigdem Gunduz, Sadi Bayramov:
Intuitionistic fuzzy soft modules. Comput. Math. Appl. 62(6): 2480-2486 (2011) - [j8]Akif Burak Tosun, Cigdem Gunduz Demir:
Graph Run-Length Matrices for Histopathological Image Segmentation. IEEE Trans. Medical Imaging 30(3): 721-732 (2011) - [c5]Cigdem Gunduz Demir:
Tissue object patterns for segmentation in histopathological images. ISABEL 2011: 155:1-155:5 - 2010
- [j7]Ömer Civalek, Armagan Korkmaz, Cigdem Demir:
Discrete singular convolution approach for buckling analysis of rectangular Kirchhoff plates subjected to compressive loads on two-opposite edges. Adv. Eng. Softw. 41(4): 557-560 (2010) - [j6]Cigdem Gunduz Demir, Melih Kandemir, Akif Burak Tosun, Cenk Sokmensuer:
Automatic segmentation of colon glands using object-graphs. Medical Image Anal. 14(1): 1-12 (2010) - [j5]Mumin Cebe, Cigdem Gunduz Demir:
Qualitative test-cost sensitive classification. Pattern Recognit. Lett. 31(13): 2043-2051 (2010) - [j4]Dogan Altunbay, Celal Cigir, Cenk Sokmensuer, Cigdem Gunduz Demir:
Color Graphs for Automated Cancer Diagnosis and Grading. IEEE Trans. Biomed. Eng. 57(3): 665-674 (2010) - [c4]Akif Burak Tosun, Cenk Sokmensuer, Cigdem Gunduz Demir:
Unsupervised Tissue Image Segmentation through Object-Oriented Texture. ICPR 2010: 2516-2519
2000 – 2009
- 2009
- [j3]Akif Burak Tosun, Melih Kandemir, Cenk Sokmensuer, Cigdem Gunduz Demir:
Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection. Pattern Recognit. 42(6): 1104-1112 (2009) - 2007
- [c3]Mumin Cebe, Cigdem Gunduz Demir:
Test-Cost Sensitive Classification Based on Conditioned Loss Functions. ECML 2007: 551-558 - 2005
- [j2]Cigdem Demir, Ethem Alpaydin:
Cost-conscious classifier ensembles. Pattern Recognit. Lett. 26(14): 2206-2214 (2005) - [j1]Cigdem Demir, S. Humayun Gultekin, Bülent Yener:
Learning the Topological Properties of Brain Tumors. IEEE ACM Trans. Comput. Biol. Bioinform. 2(3): 262-270 (2005) - [c2]Cigdem Demir, S. Humayun Gultekin, Bülent Yener:
Augmented cell-graphs for automated cancer diagnosis. ECCB/JBI 2005: 12 - 2004
- [c1]Cigdem Gunduz, Bülent Yener, S. Humayun Gultekin:
The cell graphs of cancer. ISMB/ECCB (Supplement of Bioinformatics) 2004: 145-151
Coauthor Index
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