The cell graphs of cancer. - Cigdem Gunduz; Bülent Yener; S. Humayun Gultekin (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Augmented cell-graphs for automated cancer diagnosis. - Cigdem Demir; S. Humayun Gultekin; Bülent Yener (ECCB/JBI, 2005)

Cost-conscious classifier ensembles. - Cigdem Demir; Ethem Alpaydin (Pattern Recognit. Lett., 2005)

Learning the Topological Properties of Brain Tumors. - Cigdem Demir; S. Humayun Gultekin; Bülent Yener (IEEE ACM Trans. Comput. Biol. Bioinform., 2005)

Test-Cost Sensitive Classification Based on Conditioned Loss Functions. - Mumin Cebe; Cigdem Gunduz Demir (ECML, 2007)

Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection. - Akif Burak Tosun; Melih Kandemir; Cenk Sokmensuer; Cigdem Gunduz Demir (Pattern Recognit., 2009)

Unsupervised Tissue Image Segmentation through Object-Oriented Texture. - Akif Burak Tosun; Cenk Sokmensuer; Cigdem Gunduz Demir (ICPR, 2010)

Discrete singular convolution approach for buckling analysis of rectangular Kirchhoff plates subjected to compressive loads on two-opposite edges. - Ömer Civalek; Armagan Korkmaz; Cigdem Demir (Adv. Eng. Softw., 2010)

Automatic segmentation of colon glands using object-graphs. - Cigdem Gunduz Demir; Melih Kandemir; Akif Burak Tosun; Cenk Sokmensuer (Medical Image Anal., 2010)

Qualitative test-cost sensitive classification. - Mumin Cebe; Cigdem Gunduz Demir (Pattern Recognit. Lett., 2010)

Color Graphs for Automated Cancer Diagnosis and Grading. - Dogan Altunbay; Celal Cigir; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE Trans. Biomed. Eng., 2010)

Tissue object patterns for segmentation in histopathological images. - Cigdem Gunduz Demir (ISABEL, 2011)

Intuitionistic fuzzy soft modules. - Cigdem Gunduz; Sadi Bayramov (Comput. Math. Appl., 2011)

Graph Run-Length Matrices for Histopathological Image Segmentation. - Akif Burak Tosun; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2011)

A Resampling-Based Markovian Model for Automated Colon Cancer Diagnosis. - Erdem Ozdemir; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE Trans. Biomed. Eng., 2012)

Multilevel Segmentation of Histopathological Images Using Cooccurrence of Tissue Objects. - Ahmet Cagri Simsek; Akif Burak Tosun; Cevdet Aykanat; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE Trans. Biomed. Eng., 2012)

Graph walks for classification of histopathological images. - Gulden Olgun; Cenk Sokmensuer; Cigdem Gunduz Demir (ISBI, 2013)

Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images. - Salim Arslan; Tulin Ersahin; Rengül Çetin-Atalay; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2013)

A Hybrid Classification Model for Digital Pathology Using Structural and Statistical Pattern Recognition. - Erdem Ozdemir; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2013)

A supervised learning model for live cell segmentation. - Can Fahrettin Koyuncu; Irem Durmaz; Rengül Çetin-Atalay; Cigdem Gunduz Demir (SIU, 2014)

Local Object Patterns for the Representation and Classification of Colon Tissue Images. - Gulden Olgun; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE J. Biomed. Health Informatics, 2014)

Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification. - Tunç Gültekin; Can Fahrettin Koyuncu; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2015)

A simple mathematical model of microtubules surrounded by an elastic matrix by nonlocal finite element method. - Ömer Civalek; Cigdem Demir (Appl. Math. Comput., 2016)

AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks. - Gozde Nur Gunesli; Cenk Sokmensuer; Cigdem Gunduz Demir (CoRR, 2019)

DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images. - Can Fahrettin Koyuncu; Gozde Nur Gunesli; Rengül Çetin-Atalay; Cigdem Gunduz Demir (CoRR, 2019)

Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images. - Can Taylan Sari; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2019)

Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks. - C. T. Sari; Gozde Nur Gunesli; Cenk Sokmensuer; Cigdem Gunduz Demir (CoRR, 2020)

DeepDistance: A multi-task deep regression model for cell detection in inverted microscopy images. - Can Fahrettin Koyuncu; Gozde Nur Gunesli; Rengül Çetin-Atalay; Cigdem Gunduz Demir (Medical Image Anal., 2020)

AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks. - Gozde Nur Gunesli; Cenk Sokmensuer; Cigdem Gunduz Demir (IEEE Trans. Medical Imaging, 2020)

Histopathological Classification of Colon Tissue Images with Self-Supervised Models. - Mehmet Bahadir Erden; Selahattin Cansiz; Cigdem Gunduz Demir (SIU, 2023)

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images. - Seher Ozcelik; Sinan Unver; Ilke Ali Gurses; Rustu Turkay; Cigdem Gunduz Demir (CoRR, 2023)

FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images. - Selahattin Cansiz; Cem Kesim; Sevval Nur Bektas; Zeynep Kulali; Murat Hasanreisoglu; Cigdem Gunduz Demir (IEEE J. Biomed. Health Informatics, 2023)

MTFD-Net: Left atrium segmentation in CT images through fractal dimension estimation. - Aziza Saber Jabdaragh; Marjan Firouznia; Karim Faez; Fariba Alikhani; Javad Alikhani Koupaei; Cigdem Gunduz Demir (Pattern Recognit. Lett., 2023)

PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation. - Mehmet Bahadir Erden; Sinan Unver; Ilke Ali Gurses; Rustu Turkay; Cigdem Gunduz Demir (CoRR, 2024)

FractalRG: Advanced fractal region growing using Gaussian mixture models for left atrium segmentation. - Marjan Firouznia; Javad Alikhani Koupaei; Karim Faez; Aziza Saber Jabdaragh; Cigdem Gunduz Demir (Digit. Signal Process., 2024)

Leveraging weak supervision for cell localization in digital pathology using multitask learning and consistency loss. - 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 (Comput. Biol. Medicine, 2025)

FourierLoss: Shape-aware loss function with Fourier descriptors. - Mehmet Bahadir Erden; Selahattin Cansiz; Onur Caki; Haya Khattak; Durmus Etiz; Melek Cosar Yakar; Kerem Duruer; Berke Barut; Cigdem Gunduz Demir (Neurocomputing, 2025)