Cigdem Demir

According to our database, Cigdem Demir authored at least 37 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

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

2023

<i>MTFD-Net</i>: 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., September, 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, February, 2023

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

CoRR, 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

Histopathological Classification of Colon Tissue Images with Self-Supervised Models.

Mehmet Bahadir Erden, Selahattin Cansiz, Cigdem Gunduz Demir

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

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

<i>DeepDistance</i>: 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

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

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

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

AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks.

Gozde Nur Gunesli, Cenk Sokmensuer, Cigdem Gunduz Demir

CoRR, 2019

2016

A simple mathematical model of microtubules surrounded by an elastic matrix by nonlocal finite element method.

Ömer Civalek, Cigdem Demir

Appl. Math. Comput., 2016

2015

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

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

A supervised learning model for live cell segmentation.

Can Fahrettin Koyuncu, Irem Durmaz, Rengül Çetin-Atalay, Cigdem Gunduz Demir

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2013

A Hybrid Classification Model for Digital Pathology Using Structural and Statistical Pattern Recognition.

Erdem Ozdemir, Cigdem Gunduz Demir

IEEE Trans. Medical Imaging, 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

Graph walks for classification of histopathological images.

Gulden Olgun, Cenk Sokmensuer, Cigdem Gunduz Demir

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

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

A Resampling-Based Markovian Model for Automated Colon Cancer Diagnosis.

Erdem Ozdemir, Cenk Sokmensuer, Cigdem Gunduz Demir

IEEE Trans. Biomed. Eng., 2012

2011

Graph Run-Length Matrices for Histopathological Image Segmentation.

Akif Burak Tosun, Cigdem Gunduz Demir

IEEE Trans. Medical Imaging, 2011

Intuitionistic fuzzy soft modules.

Cigdem Gunduz, Sadi Bayramov

Comput. Math. Appl., 2011

Tissue object patterns for segmentation in histopathological images.

Cigdem Gunduz Demir

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010

Color Graphs for Automated Cancer Diagnosis and Grading.

Dogan Altunbay, Celal Cigir, Cenk Sokmensuer, Cigdem Gunduz Demir

IEEE Trans. Biomed. Eng., 2010

Qualitative test-cost sensitive classification.

Mumin Cebe, Cigdem Gunduz Demir

Pattern Recognit. Lett., 2010

Automatic segmentation of colon glands using object-graphs.

Cigdem Gunduz Demir, Melih Kandemir, Akif Burak Tosun, Cenk Sokmensuer

Medical Image Anal., 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

Unsupervised Tissue Image Segmentation through Object-Oriented Texture.

Akif Burak Tosun, Cenk Sokmensuer, Cigdem Gunduz Demir

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

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

2007

Test-Cost Sensitive Classification Based on Conditioned Loss Functions.

Mumin Cebe, Cigdem Gunduz Demir

Proceedings of the Machine Learning: ECML 2007, 2007

2005

Learning the Topological Properties of Brain Tumors.

Cigdem Demir, S. Humayun Gultekin, Bülent Yener

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Cost-conscious classifier ensembles.

Cigdem Demir, Ethem Alpaydin

Pattern Recognit. Lett., 2005

Augmented cell-graphs for automated cancer diagnosis.

Cigdem Demir, S. Humayun Gultekin, Bülent Yener

Proceedings of the ECCB/JBI'05 Proceedings, Fourth European Conference on Computational Biology/Sixth Meeting of the Spanish Bioinformatics Network (Jornadas de BioInformática), Palacio de Congresos, Madrid, Spain, September 28, 2005

2004

The cell graphs of cancer.

Cigdem Gunduz, Bülent Yener, S. Humayun Gultekin

Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004