| A system for reconstructing and visualising three-dimensional objects NM Sirakov, FH Muge Computers & Geosciences 27 (1), 59-69, 2001 | 68 | 2001 |
| Lesion detection in demoscopy images with novel density-based and active contour approaches M Mete, NM Sirakov BMC bioinformatics 11, 1-13, 2010 | 52 | 2010 |
| 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 | 38 | 2012 |
| A new active convex hull model for image regions NM Sirakov Journal of Mathematical Imaging and Vision 26, 309-325, 2006 | 35 | 2006 |
| Interpolation approach for 3D smooth reconstruction of subsurface objects NM Sirakov, I Granado, FH Muge Computers & geosciences 28 (8), 877-885, 2002 | 35 | 2002 |
| 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 | 29 | 2011 |
| Efficient segmentation with the convex local-global fuzzy Gaussian distribution active contour for medical applications QT Thieu, M Luong, JM Rocchisani, NM Sirakov, E Viennet Annals of Mathematics and Artificial Intelligence 75, 249-266, 2015 | 26 | 2015 |
| Intelligent shape feature extraction and indexing for efficient content-based medical image retrieval PA Mlsna, NM Sirakov 6th IEEE Southwest Symposium on Image Analysis and Interpretation, 2004 …, 2004 | 26 | 2004 |
| Recognition of emotional states in natural human-computer interaction M Milanova, N Sirakov 2008 IEEE International Symposium on Signal Processing and Information …, 2008 | 23 | 2008 |
| An integral active contour model for convex hull and boundary extraction NM Sirakov, K Ushkala International Symposium on Visual Computing, 1031-1040, 2009 | 22 | 2009 |
| Search space partitioning using convex hull and concavity features for fast medical image retrieval NM Sirakov, PA Mlsna 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …, 2004 | 19 | 2004 |
| Skin lesion feature vectors classification in models of a Riemannian manifold NM Sirakov, YL Ou, M Mete Annals of Mathematics and Artificial Intelligence 75, 217-229, 2015 | 18 | 2015 |
| Threat assessment using visual hierarchy and conceptual firearms ontology AN Arslan, CF Hempelmann, S Attardo, GP Blount, NM Sirakov Optical engineering 54 (5), 053109-053109, 2015 | 18 | 2015 |
| Optimal set of features for accurate skin cancer diagnosis M Mete, NM Sirakov 2014 IEEE International conference on image processing (ICIP), 2256-2260, 2014 | 18 | 2014 |
| Automatic feature extraction and recognition for digital access of books of the Renaissance F Muge, I Granado, M Mengucci, P Pina, V Ramos, N Sirakov, ... Research and Advanced Technology for Digital Libraries: 4th European …, 2000 | 14 | 2000 |
| Sparse representation wavelet based classification LH Ngo, M Luong, NM Sirakov, T Le-Tien, S Guerif, E Viennet 2018 25th IEEE International Conference on Image Processing (ICIP), 2974-2978, 2018 | 12 | 2018 |
| New accurate automated melanoma diagnosing systems NM Sirakov, M Mete, R Selvaggi, M Luong 2015 International Conference on Healthcare Informatics, 374-379, 2015 | 12 | 2015 |
| A novel classification system for dysplastic nevus and malignant melanoma M Mete, NM Sirakov, J Griffin, A Menter 2016 IEEE International Conference on Image Processing (ICIP), 3414-3418, 2016 | 11 | 2016 |
| Weapon ontology annotation using boundary describing sequences AN Arslan, NM Sirakov, S Attardo 2012 IEEE Southwest Symposium on Image Analysis and Interpretation, 101-104, 2012 | 11 | 2012 |
| Active contour directed by the Poisson gradient vector field and edge tracking A Bowden, NM Sirakov Journal of Mathematical Imaging and Vision 63 (6), 665-680, 2021 | 10 | 2021 |
Mutlu Mete, PhDUniversity of North TexasDirección de correo verificada de unt.edu
