2005 Index IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 2 MS Alber, J Allali, A Wai-Ho, V Bafna, TC Bailey, L Benini, D Bertrand, ... IEEE/ACM Transactions on Computational Biology and Bioinformatics 2 (4), 381, 2005 | | 2005 |
2010 5th International Symposium on Health Informatics and Bioinformatics (HIBIT 2010) is N Baykal, MO Saka, R Atalay, E Çakır, MKH Gülkesen, YA Son, ... | | |
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 | 153 | 2014 |
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 | 52 | 2011 |
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 | 88 | 2012 |
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 | 32 | 2011 |
A supervised learning model for live cell segmentation CF Koyuncu, İ Durmaz, R Çetin-Atalay, Ç Gündüz-Demir 2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014 | 5 | 2014 |
Altçizge modellemesi kullanarak kolon bez tespiti EB Özgül, C Sökmensüer, Ç Gündüz-Demir IEEE, 0 | | |
ALTÇİZGE MODELLEMESİ KULLANARAK KOLON BEZ TESPİTİ DETECTION OF COLON GLANDS USING SUBGRAPH MODELING EB Özgül, C Sökmensüer, Ç Gündüz-Demir | | |
Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer R Demir, S Koc, DG Ozturk, S Bilir, Hİ Ozata, R Williams, J Christy, ... Scientific Reports 14 (1), 2488, 2024 | | 2024 |
Attentionboost: Learning what to attend by boosting fully convolutional networks GN Gunesli, C Sokmensuer, C Gunduz-Demir arXiv preprint arXiv:1908.02095, 2019 | 2 | 2019 |
AttentionBoost: Learning What to Attend for Gland Segmentation in Histopathological Images by Boosting Fully Convolutional Networks GN Gunesli, C Sokmensuer, C Gunduz-Demir IEEE Transactions on Medical Imaging 39 (12), 4262-4273, 2020 | 15 | 2020 |
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 | 82 | 2013 |
Augmented cell-graphs for automated cancer diagnosis C Demir, SH Gultekin, B Yener Bioinformatics 21 (suppl_2), ii7-ii12, 2005 | 85 | 2005 |
Automated cancer diagnosis based on histopathological images: a systematic survey C Demir, B Yener Rensselaer Polytechnic Institute, Tech. Rep, 2005 | 398 | 2005 |
Automated cancer diagnosis based on histopathological systematic images: a systematic survey C Demir, B Yener Rensselaer Polytechnic Institute, 2005 | 24 | 2005 |
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 | 191 | 2010 |
Canlı hücre bölütlemesi için gözeticili öğrenme modeli CF Koyuncu, İ Durmaz, R Çetin-Atalay, Ç Gündüz-Demir IEEE Computer Society, 0 | | |
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 | 67 | 2018 |
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 | 164 | 2007 |