Cigdem Gunduz Demir
Cigdem Gunduz Demir
Professor of Computer Engineering, Koç University
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Cited by
Cited by
Automated cancer diagnosis based on histopathological images: a systematic survey
C Demir, B Yener
Rensselaer Polytechnic Institute, Tech. Rep, 2005
The cell graphs of cancer
C Gunduz, B Yener, SH Gultekin
Bioinformatics 20 (suppl_1), i145-i151, 2004
Automatic segmentation of colon glands using object-graphs
C Gunduz-Demir, M Kandemir, AB Tosun, C Sokmensuer
Medical image analysis 14 (1), 1-12, 2010
Color graphs for automated cancer diagnosis and grading
D Altunbay, C Cigir, C Sokmensuer, C Gunduz-Demir
IEEE Transactions on Biomedical Engineering 57 (3), 665-674, 2009
Cell-graph mining for breast tissue modeling and classification
C Bilgin, C Demir, C Nagi, B Yener
2007 29th Annual International Conference of the IEEE Engineering in …, 2007
A color and shape based algorithm for segmentation of white blood cells in peripheral blood and bone marrow images
S Arslan, E Ozyurek, C Gunduz‐Demir
Cytometry Part A 85 (6), 480-490, 2014
Graph run-length matrices for histopathological image segmentation
AB Tosun, C Gunduz-Demir
IEEE Transactions on Medical Imaging 30 (3), 721-732, 2010
Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection
AB Tosun, M Kandemir, C Sokmensuer, C Gunduz-Demir
Pattern Recognition 42 (6), 1104-1112, 2009
Learning the topological properties of brain tumors
C Demir, SH Gultekin, B Yener
IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (3), 262-270, 2005
A hybrid classification model for digital pathology using structural and statistical pattern recognition
E Ozdemir, C Gunduz-Demir
IEEE Transactions on Medical Imaging 32 (2), 474-483, 2012
Attributed relational graphs for cell nucleus segmentation in fluorescence microscopy images
S Arslan, T Ersahin, R Cetin-Atalay, C Gunduz-Demir
IEEE transactions on medical imaging 32 (6), 1121-1131, 2013
Augmented cell-graphs for automated cancer diagnosis
C Demir, SH Gultekin, B Yener
Bioinformatics 21 (suppl_2), ii7-ii12, 2005
Unsupervised feature extraction via deep learning for histopathological classification of colon tissue images
CT Sari, C Gunduz-Demir
IEEE transactions on medical imaging 38 (5), 1139-1149, 2018
Smart markers for watershed-based cell segmentation
CF Koyuncu, S Arslan, I Durmaz, R Cetin-Atalay, C Gunduz-Demir
PloS one 7 (11), e48664, 2012
Multilevel segmentation of histopathological images using cooccurrence of tissue objects
AC Simsek, AB Tosun, C Aykanat, C Sokmensuer, C Gunduz-Demir
IEEE Transactions on Biomedical engineering 59 (6), 1681-1690, 2012
A cross-sectional observational study to investigate daily symptom variability, effects of symptom on morning activities and therapeutic expectations of patients and physicians …
T Kuyucu, SZ Güçlü, B Saylan, C Demir, T Senol, S Güner, E Koyuncu, ...
Tuberkuloz ve toraks 59 (4), 328-339, 2011
Cartilage endplate thickness variation measured by ultrashort echo-time MRI is associated with adjacent disc degeneration
B Berg-Johansen, M Han, AJ Fields, EC Liebenberg, BJ Lim, PEZ Larson, ...
Spine 43 (10), E592, 2018
Mathematical modeling of the malignancy of cancer using graph evolution
C Gunduz-Demir
Mathematical biosciences 209 (2), 514-527, 2007
Iterative h‐minima‐based marker‐controlled watershed for cell nucleus segmentation
CF Koyuncu, E Akhan, T Ersahin, R Cetin‐Atalay, C Gunduz‐Demir
Cytometry Part A 89 (4), 338-349, 2016
A resampling-based Markovian model for automated colon cancer diagnosis
E Ozdemir, C Sokmensuer, C Gunduz-Demir
IEEE transactions on biomedical engineering 59 (1), 281-289, 2011
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