Cigdem Demir

Orcid: 0000-0002-1890-7220

Affiliations:
  • Koc University, Istanbul, Turkey
  • Bilkent University, Ankara, Turkey (former)


According to our database1, Cigdem Demir authored at least 34 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
<i>MTFD-Net</i>: Left atrium segmentation in CT images through fractal dimension estimation.
Pattern Recognit. Lett., September, 2023

FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images.
IEEE J. Biomed. Health Informatics, February, 2023

FourierLoss: Shape-Aware Loss Function with Fourier Descriptors.
CoRR, 2023

Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images.
CoRR, 2023

Histopathological Classification of Colon Tissue Images with Self-Supervised Models.
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.
IEEE Trans. Medical Imaging, 2020

<i>DeepDistance</i>: A multi-task deep regression model for cell detection in inverted microscopy images.
Medical Image Anal., 2020

Image Embedded Segmentation: Combining Supervised and Unsupervised Objectives through Generative Adversarial Networks.
CoRR, 2020

2019
Unsupervised Feature Extraction via Deep Learning for Histopathological Classification of Colon Tissue Images.
IEEE Trans. Medical Imaging, 2019

DeepDistance: A Multi-task Deep Regression Model for Cell Detection in Inverted Microscopy Images.
CoRR, 2019

AttentionBoost: Learning What to Attend by Boosting Fully Convolutional Networks.
CoRR, 2019

2016
A simple mathematical model of microtubules surrounded by an elastic matrix by nonlocal finite element method.
Appl. Math. Comput., 2016

2015
Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification.
IEEE Trans. Medical Imaging, 2015

2014
Local Object Patterns for the Representation and Classification of Colon Tissue Images.
IEEE J. Biomed. Health Informatics, 2014

A supervised learning model for live cell segmentation.
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.
IEEE Trans. Medical Imaging, 2013

Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images.
IEEE Trans. Medical Imaging, 2013

Graph walks for classification of histopathological images.
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.
IEEE Trans. Biomed. Eng., 2012

A Resampling-Based Markovian Model for Automated Colon Cancer Diagnosis.
IEEE Trans. Biomed. Eng., 2012

2011
Graph Run-Length Matrices for Histopathological Image Segmentation.
IEEE Trans. Medical Imaging, 2011

Intuitionistic fuzzy soft modules.
Comput. Math. Appl., 2011

Tissue object patterns for segmentation in histopathological images.
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010
Color Graphs for Automated Cancer Diagnosis and Grading.
IEEE Trans. Biomed. Eng., 2010

Qualitative test-cost sensitive classification.
Pattern Recognit. Lett., 2010

Automatic segmentation of colon glands using object-graphs.
Medical Image Anal., 2010

Discrete singular convolution approach for buckling analysis of rectangular Kirchhoff plates subjected to compressive loads on two-opposite edges.
Adv. Eng. Softw., 2010

Unsupervised Tissue Image Segmentation through Object-Oriented Texture.
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.
Pattern Recognit., 2009

2007
Test-Cost Sensitive Classification Based on Conditioned Loss Functions.
Proceedings of the Machine Learning: ECML 2007, 2007

2005
Learning the Topological Properties of Brain Tumors.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Cost-conscious classifier ensembles.
Pattern Recognit. Lett., 2005

Augmented cell-graphs for automated cancer diagnosis.
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.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004


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