A structural approach for finding functional modules from large biological networks M Mete, F Tang, X Xu, N Yuruk Bmc Bioinformatics 9 (9), 1-14, 2008 | 94 | 2008 |
Fast density-based lesion detection in dermoscopy images M Mete, S Kockara, K Aydin Computerized Medical Imaging and Graphics 35 (2), 128-136, 2011 | 64 | 2011 |
An improved border detection in dermoscopy images for density based clustering S Suer, S Kockara, M Mete BMC bioinformatics 12 (10), 1-10, 2011 | 47 | 2011 |
Induction therapies in live donor kidney transplantation on tacrolimus and mycophenolate with or without steroid maintenance B Tanriover, S Zhang, M MacConmara, A Gao, B Sandikci, MUS Ayvaci, ... Clinical Journal of the American Society of Nephrology 10 (6), 1041-1049, 2015 | 45 | 2015 |
AHSCAN: Agglomerative hierarchical structural clustering algorithm for networks N Yuruk, M Mete, X Xu, TAJ Schweiger 2009 International Conference on Advances in Social Network Analysis and …, 2009 | 40 | 2009 |
Lesion detection in demoscopy images with novel density-based and active contour approaches M Mete, NM Sirakov BMC bioinformatics 11 (6), 1-13, 2010 | 39 | 2010 |
Automatic delineation of malignancy in histopathological head and neck slides M Mete, X Xu, CY Fan, G Shafirstein BMC bioinformatics 8 (7), 1-13, 2007 | 32 | 2007 |
Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features M Mete, NM Sirakov Computerized Medical Imaging and Graphics 36 (7), 572-579, 2012 | 31 | 2012 |
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images S Kockara, M Mete, B Chen, K Aydin BMC bioinformatics 11 (6), 1-11, 2010 | 27 | 2010 |
A divisive hierarchical structural clustering algorithm for networks N Yuruk, M Mete, X Xu, TAJ Schweiger Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007 | 27 | 2007 |
Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions NM Sirakov, M Mete, NS Chakrader 2011 18th IEEE International Conference on Image Processing, 1605-1608, 2011 | 25 | 2011 |
Statistical comparison of color model-classifier pairs in hematoxylin and eosin stained histological images M Mete, U Topaloglu 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and …, 2009 | 22 | 2009 |
Hand gesture controlled drones: An open source library K Natarajan, THD Nguyen, M Mete 2018 1st International Conference on Data Intelligence and Security (ICDIS …, 2018 | 18 | 2018 |
Automatic identification of angiogenesis in double stained images of liver tissue M Mete, L Hennings, HJ Spencer, U Topaloglu BMC bioinformatics 10 (11), 1-14, 2009 | 18 | 2009 |
Optimal set of features for accurate skin cancer diagnosis M Mete, NM Sirakov 2014 IEEE International Conference on Image Processing (ICIP), 2256-2260, 2014 | 15 | 2014 |
Abrupt skin lesion border cutoff measurement for malignancy detection in dermoscopy images S Kaya, M Bayraktar, S Kockara, M Mete, T Halic, HE Field, HK Wong BMC bioinformatics 17 (13), 95-115, 2016 | 14 | 2016 |
Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach M Mete, U Sakoglu, JS Spence, MD Devous, TS Harris, B Adinoff BMC bioinformatics 17 (13), 49-61, 2016 | 13 | 2016 |
Skin lesion feature vectors classification in models of a Riemannian manifold NM Sirakov, YL Ou, M Mete Annals of Mathematics and Artificial Intelligence 75 (1), 217-229, 2015 | 11 | 2015 |
A soft kinetic data structure for lesion border detection S Kockara, M Mete, V Yip, B Lee, K Aydin Bioinformatics 26 (12), i21-i28, 2010 | 11 | 2010 |
Concept discovery for pathology reports using an N-gram model V Yip, M Mete, U Topaloglu, S Kockara Summit on translational bioinformatics 2010, 43, 2010 | 11 | 2010 |