| Automated cancer diagnosis based on histopathological images: a systematic survey C Demir, B Yener Rensselaer Polytechnic Institute, Tech. Rep, 2005 | 424 | 2005 |
| The cell graphs of cancer C Gunduz, B Yener, SH Gultekin ISMB/ECCB (Supplement of Bioinformatics), 145-151, 2004 | 230 | 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 | 194 | 2010 |
| 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 | 171 | 2007 |
| 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 | 167 | 2009 |
| 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 | 158 | 2014 |
| Graph run-length matrices for histopathological image segmentation AB Tosun, C Gunduz-Demir IEEE transactions on medical imaging 30 (3), 721-732, 2010 | 128 | 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 | 117 | 2009 |
| 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 | 115 | 2018 |
| 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 | 112 | 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 | 92 | 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 | 85 | 2013 |
| Augmented cell-graphs for automated cancer diagnosis C Demir, SH Gultekin, B Yener Bioinformatics 21 (suppl_2), ii7-ii12, 2005 | 85 | 2005 |
| 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-E600, 2018 | 69 | 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 | 60 | 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 | 53 | 2011 |
| 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 | 45 | 2016 |
| 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 | 45 | 2012 |
| Mathematical modeling of the malignancy of cancer using graph evolution C Gunduz-Demir Mathematical biosciences 209 (2), 514-527, 2007 | 38 | 2007 |
| DeepDistance: a multi-task deep regression model for cell detection in inverted microscopy images CF Koyuncu, GN Gunesli, R Cetin-Atalay, C Gunduz-Demir Medical Image Analysis 63, 101720, 2020 | 32 | 2020 |
