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ORCIDNikolay Metodiev Sirakov
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2020 – today
- 2024
[j13]Nikolay Metodiev Sirakov, Adam Bowden
, M. Chen, Long H. Ngo, Marie Luong:
Embedding vector field into image features to enhance classification. J. Comput. Appl. Math. 441: 115685 (2024)- 2023
- [j12]Pravinkumar G. Kandhare, Namasivayam Ambalavanan, Colm P. Travers, Waldemar A. Carlo, Nikolay Metodiev Sirakov, Arie Nakhmani:
Comparison metrics for multi-step prediction of rare events in vital sign signals. Biomed. Signal Process. Control. 80(Part): 104371 (2023) - [j11]Pravinkumar G. Kandhare, Arie Nakhmani, Nikolay Metodiev Sirakov:
Deep learning for location prediction on noisy trajectories. Pattern Anal. Appl. 26(1): 107-122 (2023) - 2022
- [j10]Long H. Ngo, Nikolay Metodiev Sirakov, Marie Luong, Emmanuel Viennet, Thuong Le-Tien:
Image Classification Based on Sparse Representation in the Quaternion Wavelet Domain. IEEE Access 10: 31548-31560 (2022) - [j9]Long H. Ngo, Marie Luong, Nikolay Metodiev Sirakov, Emmanuel Viennet, Thuong Le-Tien:
Skin lesion image classification using sparse representation in quaternion wavelet domain. Signal Image Video Process. 16(7): 1721-1729 (2022) - 2021
- [j8]Adam Bowden, Nikolay Metodiev Sirakov:
Active Contour Directed by the Poisson Gradient Vector Field and Edge Tracking. J. Math. Imaging Vis. 63(6): 665-680 (2021) - 2020
- [j7]Natasha M. Astudillo, Reginald Bolman, Nikolay Metodiev Sirakov:
Classification with Stochastic Learning Methods and Convolutional Neural Networks. SN Comput. Sci. 1(1): 138 (2020) - [c24]Mutlu Mete, Nikolay Metodiev Sirakov, Lauren Dickson, Jillian Frieder, John Griffin, Gregory A. Hosler, Alan Menter:
A Quaternary Classifier for the Clinical Evaluation of Pigmented Skin Lesions. BIBE 2020: 734-739
2010 – 2019
- 2018
- [c23]Long H. Ngo, Marie Luong, Nikolay Metodiev Sirakov, Thuong Le-Tien, Sébastien Guérif, Emmanuel Viennet:
Sparse Representation Wavelet Based Classification. ICIP 2018: 2974-2978 - [c22]Mengzhe Chen, Nikolay Metodiev Sirakov:
Poisson Equation Solution and Its Gradient Vector Field to Geometric Features Detection. TPNC 2018: 36-48 - 2017
- [c21]Nikolay Metodiev Sirakov, Nona Nikolaeva Sirakova:
Inscribing Convex Polygons in Star-Shaped Objects. IWCIA 2017: 198-211 - [c20]Abdullah N. Arslan, Nikolay Metodiev Sirakov:
Shape Matching for Rigid Objects by Aligning Sequences Based on Boundary Change Points. IWCIA 2017: 308-321 - 2016
- [c19]Mutlu Mete, Nikolay Metodiev Sirakov, John Griffin, Alan Menter:
A novel classification system for dysplastic nevus and malignant melanoma. ICIP 2016: 3414-3418 - 2015
- [j6]Nikolay Metodiev Sirakov, Ye-Lin Ou, Mutlu Mete:
Skin lesion feature vectors classification in models of a Riemannian manifold. Ann. Math. Artif. Intell. 75(1-2): 217-229 (2015) - [j5]Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay Metodiev Sirakov, Emmanuel Viennet:
Efficient segmentation with the convex local-global fuzzy Gaussian distribution active contour for medical applications. Ann. Math. Artif. Intell. 75(1-2): 249-266 (2015) - [c18]Nikolay Metodiev Sirakov, Mutlu Mete, Richard Selvaggi, Marie Luong:
New Accurate Automated Melanoma Diagnosing Systems. ICHI 2015: 374-379 - 2014
- [c17]Mutlu Mete, Nikolay Metodiev Sirakov:
Optimal set of features for accurate skin cancer diagnosis. ICIP 2014: 2256-2260 - 2012
- [j4]Mutlu Mete, Nikolay Metodiev Sirakov:
Dermoscopic diagnosis of melanoma in a 4D space constructed by active contour extracted features. Comput. Medical Imaging Graph. 36(7): 572-579 (2012) - [c16]Mutlu Mete, Ye-Lin Ou, Nikolay Metodiev Sirakov:
Skin Lesion Feature Vector Space with a Metric to Model Geometric Structures of Malignancy for Classification. IWCIA 2012: 285-297 - [c15]Quang Tung Thieu, Marie Luong, Jean-Marie Rocchisani, Nikolay Metodiev Sirakov, Emmanuel Viennet:
Segmentation by a Local and Global Fuzzy Gaussian Distribution Energy Minimization of an Active Contour Model. IWCIA 2012: 298-312 - [c14]Abdullah N. Arslan, Nikolay Metodiev Sirakov, Salvatore Attardo:
Weapon ontology annotation using boundary describing sequences. SSIAI 2012: 101-104 - 2011
- [c13]Nikolay Metodiev Sirakov, Mutlu Mete, Nara Surendra Chakrader:
Automatic boundary detection and symmetry calculation in dermoscopy images of skin lesions. ICIP 2011: 1605-1608 - 2010
- [j3]Mutlu Mete, Nikolay Metodiev Sirakov:
Lesion detection in demoscopy images with novel density-based and active contour approaches. BMC Bioinform. 11(S-6): S23 (2010) - [j2]Nikolay Metodiev Sirakov, Sang C. Suh, Salvatore Attardo:
Automatic Object Identification using Visual Low Level Feature Extraction and Ontological Knowledge. Trans. SDPS 14(2): 13-26 (2010)
2000 – 2009
- 2009
- [c12]Nikolay Metodiev Sirakov, Karthik Ushkala:
An Integral Active Contour Model for Convex Hull and Boundary Extraction. ISVC (2) 2009: 1031-1040 - [c11]Sang C. Suh, Sam I. Saffer, Sri Ganesh Anaparthi, Nikolay Metodiev Sirakov:
Basics of Concepts Representation for Document Summarization. NCM 2009: 1374-1380 - 2007
- [c10]Sang C. Suh, Nikolay Metodiev Sirakov:
Content Based Search in Web Archives. International Conference on Internet Computing 2007: 9-15 - [c9]Nikolay Metodiev Sirakov:
Monotonic Vector Forces and Green's Theorem for Automatic Area Calculation. ICIP (4) 2007: 297-300 - 2006
- [j1]Nikolay Metodiev Sirakov:
A New Active Convex Hull Model for Image Regions. J. Math. Imaging Vis. 26(3): 309-325 (2006) - [c8]Nikolay Metodiev Sirakov:
Automatic Concavity's Area Calculation using Active Contours and Increasing Flow. ICIP 2006: 225-228 - [c7]Nikolay Metodiev Sirakov:
Multiple Surfaces Reconstruction from 2D Sections Using an Increasing 2D Vector Flow. IPCV 2006: 364-370 - 2005
- [c6]Nikolay Metodiev Sirakov:
A New Active Convex Hull Model For Image Database's Search Space Partitioning. VISION 2005: 134-142 - 2004
- [c5]Phillip A. Mlsna, Nikolay Metodiev Sirakov:
Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval. ISBI 2004: 796-799 - 2000
- [c4]Fernando Muge, Isabel Granado, Michele Mengucci, Pedro Pina, Vitorino Ramos, Nikolay Metodiev Sirakov, João Rogério Caldas Pinto, A. Marcolino, Mário Ramalho, Pedro Vieira, A. Maia do Amaral:
Automatic Feature Extraction and Recognition for Digital Access of Books of the Renaissance. ECDL 2000: 1-13 - [c3]Isabel Granado, Nikolay Metodiev Sirakov, Fernando Muge:
A Morphological Interpolation Approach - Geodesic Set Definition in Case of Empty Intersection. ISMM 2000: 71-80
1990 – 1999
- 1997
- [c2]Nikolay Metodiev Sirakov:
A Fast Approach for Determining of Visibility of 3D Object's Surfaces. ICIAP (2) 1997: 292-299 - 1996
- [c1]Nikolay Metodiev Sirakov:
Automatic reconstruction of 3D branching objects. ICPR 1996: 620-624
Coauthor Index
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