Nikolay Metodiev Sirakov
Nikolay Metodiev Sirakov
Professor of Computer Science and Mathematics, Texas A&M University
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A system for reconstructing and visualising three-dimensional objects
NM Sirakov, FH Muge
Computers & Geosciences 27 (1), 59-69, 2001
Lesion detection in demoscopy images with novel density-based and active contour approaches
M Mete, NM Sirakov
BMC bioinformatics 11 (S6), S23, 2010
Interpolation approach for 3D smooth reconstruction of subsurface objects
NM Sirakov, I Granado, FH Muge
Computers & geosciences 28 (8), 877-885, 2002
A new active convex hull model for image regions
NM Sirakov
Journal of Mathematical Imaging and Vision 26 (3), 309-325, 2006
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 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
An integral active contour model for convex hull and boundary extraction
NM Sirakov, K Ushkala
International Symposium on Visual Computing, 1031-1040, 2009
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
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 (1-2), 249-266, 2015
Recognition of emotional states in natural human-computer interaction
M Milanova, N Sirakov
2008 IEEE International Symposium on Signal Processing and Information …, 2008
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, JRC Pinto, ...
International Conference on Theory and Practice of Digital Libraries, 1-13, 2000
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
Optimal set of features for accurate skin cancer diagnosis
M Mete, NM Sirakov
2014 IEEE International Conference on Image Processing (ICIP), 2256-2260, 2014
Threat assessment using visual hierarchy and conceptual firearms ontology
AN Arslan, CF Hempelmann, S Attardo, GP Blount, NM Sirakov
Optical engineering 54 (5), 053109, 2015
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
Skin lesion feature vectors classification in models of a Riemannian manifold
NM Sirakov, YL Ou, M Mete
Annals of Mathematics and Artificial Intelligence 75 (1-2), 217-229, 2015
From shape to threat: exploiting the convergence between visual and conceptual organization for weapon identification and threat assessment
AN Arslan, CF Hempelmann, C Di Ferrante, S Attardo, NM Sirakov
Automatic Target Recognition XXIII 8744, 87440P, 2013
Integration of low level and ontology derived features for automatic weapon recognition and identification
NM Sirakov, S Suh, S Attardo
Automatic Target Recognition XXI 8049, 80490X, 2011
A new automatic concavity extraction model
NM Sirakov, I Simonelli
2006 IEEE Southwest Symposium on Image Analysis and Interpretation, 178-182, 2006
Identification of partially occluded firearms through partonomy
AN Arslan, CF Hempelmann, S Attardo, GP Blount, NN Sirakova, ...
Automatic Target Recognition XXV 9476, 94760U, 2015
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