Mutlu Mete, PhD
Cited by
Cited by
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
Fast density-based lesion detection in dermoscopy images
M Mete, S Kockara, K Aydin
Computerized Medical Imaging and Graphics 35 (2), 128-136, 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
An improved border detection in dermoscopy images for density based clustering
S Suer, S Kockara, M Mete
BMC bioinformatics 12 (10), 1-10, 2011
Lesion detection in demoscopy images with novel density-based and active contour approaches
M Mete, NM Sirakov
BMC bioinformatics 11 (6), 1-13, 2010
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
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
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
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
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
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
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
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
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
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
Optimal set of features for accurate skin cancer diagnosis
M Mete, NM Sirakov
2014 IEEE International Conference on Image Processing (ICIP), 2256-2260, 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
Classification of cocaine‐dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data
U Sakoglu, M Mete, J Esquivel, K Rubia, R Briggs, B Adinoff
Journal of neuroscience research 97 (7), 790-803, 2019
Simultaneous liver-kidney transplantation in liver transplant candidates with renal dysfunction: importance of creatinine levels, dialysis, and organ quality in survival
B Tanriover, MP MacConmara, J Parekh, C Arce, S Zhang, A Gao, A Mufti, ...
Kidney international reports 1 (4), 221-229, 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
The system can't perform the operation now. Try again later.
Articles 1–20