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ORCIDCigdem Demir
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2020 – today
- 2025
[j24]Berke Levent Cesur, Ayse Humeyra Dur Karasayar, Pinar Bulutay, Nilgun Kapucuoglu, Cisel Aydin Mericoz, Handan Eren, Omer Faruk Dilbaz, Javidan Osmanli, Burhan Soner Yetkili, Ibrahim Kulac, Can Fahrettin Koyuncu, Cigdem Gunduz Demir:
Leveraging weak supervision for cell localization in digital pathology using multitask learning and consistency loss. Comput. Biol. Medicine 196: 110805 (2025)- [j23]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. Neurocomputing 638: 130155 (2025) - 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) - [i8]Mehmet Bahadir Erden, Sinan Unver, Ilke Ali Gurses, Rustu Turkay, Cigdem Gunduz Demir:
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation. CoRR abs/2408.08038 (2024) - [i7]Berke Levent Cesur, Ayse Humeyra Dur Karasayar, Pinar Bulutay, Nilgun Kapucuoglu, Cisel Aydin Mericoz, Handan Eren, Omer Faruk Dilbaz, Javidan Osmanli, Burhan Soner Yetkili, Ibrahim Kulac, Can Fahrettin Koyuncu, Cigdem Gunduz Demir:
Leveraging Weak Supervision for Cell Localization in Digital Pathology Using Multitask Learning and Consistency Loss. CoRR abs/2412.15392 (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) - no results
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 - no results
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 - no results
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