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Journal Articles
- 2021
[j9]Jonas Teuwen, Nikita Moriakov
, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. Medical Image Anal. 71: 102061 (2021)- [j8]Bruno Barufaldi, Craig K. Abbey, Miguel A. Lago, Trevor Lewis Vent, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment:
Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise. IEEE Trans. Medical Imaging 40(12): 3436-3445 (2021) - 2020
- [j7]Keni Zheng, Chelsea Harris, Predrag R. Bakic, Sokratis Makrogiannis:
Spatially localized sparse representations for breast lesion characterization. Comput. Biol. Medicine 123: 103914 (2020) - 2017
- [j6]Lucas R. Borges, Igor Guerrero, Predrag R. Bakic, Alessandro Foi, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Method for Simulating Dose Reduction in Digital Breast Tomosynthesis. IEEE Trans. Medical Imaging 36(11): 2331-2342 (2017) - 2015
- [j5]Marko D. Petkovic, Predrag R. Bakic, Andrew D. A. Maidment, David D. Pokrajac:
Asymptotic number of Z3Δ cells covering C(1) surface on uniform grid and complexity of recursive-partitioning simulation of septal tissue regions. Appl. Math. Comput. 252: 263-272 (2015) - [j4]Miguel A. Lago, María José Rupérez, Francisco Martínez-Martínez, Sandra Martínez-Sanchis, Predrag R. Bakic, Carlos Monserrat:
Methodology based on genetic heuristics for in-vivo characterizing the patient-specific biomechanical behavior of the breast tissues. Expert Syst. Appl. 42(21): 7942-7950 (2015) - [j3]Feiyu Chen, Predrag R. Bakic, Andrew D. A. Maidment, Shane T. Jensen, Xiquan Shi, David D. Pokrajac:
Description and Characterization of a Novel Method for Partial Volume Simulation in Software Breast Phantoms. IEEE Trans. Medical Imaging 34(10): 2146-2161 (2015) - 2009
- [j2]Vasilis Megalooikonomou, Michael Barnathan, Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment:
A Representation and Classification Scheme for Tree-Like Structures in Medical Images: Analyzing the Branching Pattern of Ductal Trees in X-ray Galactograms. IEEE Trans. Medical Imaging 28(4): 487-493 (2009) - 2006
- [j1]Frédéric J. P. Richard, Predrag R. Bakic, Andrew D. A. Maidment:
Mammogram registration: a phantom-based evaluation of compressed Breast Thickness variation effects. IEEE Trans. Medical Imaging 25(2): 188-197 (2006)
Conference and Workshop Papers
- 2020
- [c66]Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Foveated model observer to predict human search performance on virtual digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160V - [c65]Aditya Jonnalagadda, Miguel A. Lago, Bruno Barufaldi, Predrag R. Bakic, Craig K. Abbey, Andrew D. A. Maidment, Miguel P. Eckstein:
Evaluation of convolutional neural networks for search in 1/f 2.8 filtered noise and digital breast tomosynthesis phantoms. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131617 - 2018
- [c64]Predrag R. Bakic, David D. Pokrajac, Michael D. Feldman, Andrew D. A. Maidment:
Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation. IWBI 2018: 107180F - [c63]Predrag R. Bakic, Bruno Barufaldi, David D. Pokrajac, Susan P. Weinstein, Andrew D. A. Maidment:
Optimized simulation of breast anatomy for virtual clinical trials. IWBI 2018: 107181X - [c62]Bruno Barufaldi, Predrag R. Bakic, David D. Pokrajac, Miguel A. Lago, Andrew D. A. Maidment:
Developing populations of software breast phantoms for virtual clinical trials. IWBI 2018: 107181U - [c61]Miguel A. Lago, Craig K. Abbey, Bruno Barufaldi, Predrag R. Bakic, Susan P. Weinstein, Andrew D. A. Maidment, Miguel P. Eckstein:
Interactions of lesion detectability and size across single-slice DBT and 3D DBT. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770X - [c60]Lucas R. Borges, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Restored low-dose digital breast tomosynthesis: a perception study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 1057705 - 2016
- [c59]Bruno Barufaldi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Salvador Gabarda, Andrew D. A. Maidment, Predrag R. Bakic, David D. Pokrajac, Homero Schiabel:
The Effect of Breast Composition on a No-reference Anisotropic Quality Index for Digital Mammography. Digital Mammography / IWDM 2016: 226-233 - [c58]Lucas R. Borges, Igor Guerrero, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira:
Simulation of Dose Reduction in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2016: 343-350 - [c57]Predrag R. Bakic, David D. Pokrajac, Rebecca Batiste, Michael D. Feldman, Andrew D. A. Maidment:
Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap. Digital Mammography / IWDM 2016: 478-485 - [c56]Predrag R. Bakic, Kyle J. Myers, Stephen J. Glick, Andrew D. A. Maidment:
Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions. Digital Mammography / IWDM 2016: 518-524 - [c55]Maria A. Z. Sousa, Karem D. Marcomini, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel:
Observer study to evaluate the simulation of mammographic calcification clusters. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97871D - [c54]Helder Cesar Rodigues de Oliveira, Bruno Barufaldi, Lucas R. Borges, Salvador Gabarda, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Marcelo Andrade da Costa Vieira:
Validation of no-reference image quality index for the assessment of digital mammographic images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978713 - 2015
- [c53]Helder Cesar Rodigues de Oliveira, Lucas Rodrigues Borges, Polyana Ferreira Nunes, Predrag R. Bakic, Andrew D. A. Maidment, Marcelo Andrade da Costa Vieira:
Use of Wavelet Multiresolution Analysis to Reduce Radiation Dose in Digital Mammography. CBMS 2015: 33-37 - 2014
- [c52]Predrag R. Bakic, David D. Pokrajac, Raffaele De Caro, Andrew D. A. Maidment:
Realistic Simulation of Breast Tissue Microstructure in Software Anthropomorphic Phantoms. Digital Mammography / IWDM 2014: 348-355 - [c51]Lesley Cockmartin, Predrag R. Bakic, Hilde Bosmans, Andrew D. A. Maidment, Hunter Gall, Moustafa Zerhouni, Nicholas W. Marshall:
Power Spectrum Analysis of an Anthropomorphic Breast Phantom Compared to Patient Data in 2D Digital Mammography and Breast Tomosynthesis. Digital Mammography / IWDM 2014: 423-429 - [c50]Predrag R. Bakic, David D. Pokrajac, Mathew Thomas, Angeliki Skoura, Tatyana Nuzhnaya, Vasileios Megalooikonomou, Brad M. Keller, Yuanjie Zheng, Despina Kontos, James C. Gee, Gilda Cardenosa, Andrew D. A. Maidment:
Correlation between Topological Descriptors of the Breast Ductal Network from Clinical Galactograms and Texture Features of Corresponding Mammograms. Digital Mammography / IWDM 2014: 658-665 - [c49]Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe, Predrag R. Bakic, Andrew D. A. Maidment:
It Is Hard to See a Needle in a Haystack: Modeling Contrast Masking Effect in a Numerical Observer. Digital Mammography / IWDM 2014: 723-730 - 2013
- [c48]Angeliki Skoura, Tatyana Nuzhnaya, Predrag R. Bakic, Vasilis Megalooikonomou:
Classifying Ductal Trees Using Geometrical Features and Ensemble Learning Techniques. EANN (2) 2013: 146-155 - [c47]Angeliki Skoura, Tatyana Nuzhnaya, Predrag R. Bakic, Vasilis Megalooikonomou:
Detecting and Localizing Tree Nodes in Anatomic Structures of Branching Topology. ICIAR 2013: 485-493 - 2012
- [c46]Huanyi Yang, Lauren A. Christopher, Nebojsa Duric, Erik West, Predrag R. Bakic:
Performance analysis of EM-MPM and K-means clustering in 3D ultrasound image segmentation. EIT 2012: 1-4 - [c45]Ingrid S. Reiser, Beverly A. Lau, Robert M. Nishikawa, Predrag R. Bakic:
A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantom. Digital Mammography / IWDM 2012: 141-148 - [c44]Feiyu Chen, David D. Pokrajac, Xiquan Shi, Fengshan Liu, Andrew D. A. Maidment, Predrag R. Bakic:
Simulation of Three Material Partial Volume Averaging in a Software Breast Phantom. Digital Mammography / IWDM 2012: 149-156 - [c43]Marcelo Andrade da Costa Vieira, Predrag R. Bakic, Andrew D. A. Maidment, Homero Schiabel, Nelson D. A. Mascarenhas:
Filtering of Poisson Noise in Digital Mammography Using Local Statistics and Adaptive Wiener Filter. Digital Mammography / IWDM 2012: 268-275 - [c42]Claudia C. Brunner, Raymond Joseph Acciavatti, Predrag R. Bakic, Andrew D. A. Maidment, Mark B. Williams, Richard Kaczmarek, Kish Chakrabarti:
Evaluation of Various Mammography Phantoms for Image Quality Assessment in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 284-291 - [c41]Cédric Marchessoux, Alireza Nasiri Avanaki, Predrag R. Bakic, Tom Kimpe, Andrew D. A. Maidment:
Effects of Medical Display Luminance, Contrast and Temporal Compensation on CHO Detection Performance at Various Browsing Speeds and on Digital Breast Tomosynthesis Images. Digital Mammography / IWDM 2012: 292-299 - [c40]Premkumar Elangovan, Alistair Mackenzie, Oliver Díaz, Alaleh Rashidnasab, David R. Dance, Kenneth C. Young, Lucy M. Warren, Eman Shaheen, Hilde Bosmans, Predrag R. Bakic, Kevin Wells:
A Modelling Framework for Evaluation of 2D-Mammography and Breast Tomosynthesis Systems. Digital Mammography / IWDM 2012: 338-345 - [c39]Rongping Zeng, Subok Park, Predrag R. Bakic, Kyle J. Myers:
Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis? Digital Mammography / IWDM 2012: 346-353 - [c38]Joseph H. Chui, David D. Pokrajac, Andrew D. A. Maidment, Predrag R. Bakic:
Towards Breast Anatomy Simulation Using GPUs. Digital Mammography / IWDM 2012: 506-513 - [c37]Tatyana Nuzhnaya, Predrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Haibin Ling:
Segmentation of anatomical branching structures based on texture features and conditional random field. Medical Imaging: Image Processing 2012: 83141J - 2011
- [c36]Erkang Cheng, Shawn McLaughlin, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment, Haibin Ling:
Learning-Based Vessel Segmentation in Mammographic Images. HISB 2011: 315-322 - [c35]Angeliki Skoura, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment:
Classifying Ductal Tree Structures Using Topological Descriptors of Branching. EANN/AIAI (2) 2011: 455-463 - [c34]Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despina Kontos, Predrag R. Bakic, Vasileios Megalooikonomou:
Segmentation of anatomical branching structures based on texture features and graph cut. ISBI 2011: 673-676 - [c33]Erkang Cheng, Haibin Ling, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou:
Automatic detection of regions of interest in mammographic images. Medical Imaging: Image Processing 2011: 79623J - 2010
- [c32]Erkang Cheng, Nianhua Xie, Haibin Ling, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou:
Mammographic image classification using histogram intersection. ISBI 2010: 197-200 - [c31]Tatyana Nuzhnaya, Michael Barnathan, Haibin Ling, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment:
Probabilistic branching node detection using adaboost and hybrid local features. ISBI 2010: 221-224 - [c30]Predrag R. Bakic, Peter Ringer, Johnny Kuo, Susan Ng, Andrew D. A. Maidment:
Analysis of Geometric Accuracy in Digital Breast Tomosynthesis Reconstruction. Digital Mammography / IWDM 2010: 62-69 - [c29]Emily F. Conant, Diane Li, Sara Gavenonis, Predrag R. Bakic, Ann-Katherine Carton, Cuiping Zhang, Andrew D. A. Maidment, Despina Kontos:
A Comparative Study of the Inter-reader Variability of Breast Percent Density Estimation in Digital Mammography: Potential Effect of Reader's Training and Clinical Experience. Digital Mammography / IWDM 2010: 114-120 - [c28]Despina Kontos, Predrag R. Bakic, Raymond Joseph Acciavatti, Emily F. Conant, Andrew D. A. Maidment:
A Comparative Study of Volumetric and Area-Based Breast Density Estimation in Digital Mammography: Results from a Screening Population. Digital Mammography / IWDM 2010: 378-385 - [c27]Predrag R. Bakic, Beverly A. Lau, Ann-Katherine Carton, Ingrid S. Reiser, Andrew D. A. Maidment, Robert M. Nishikawa:
An Anthropomorphic Software Breast Phantom for Tomosynthesis Simulation: Power Spectrum Analysis of Phantom Projections. Digital Mammography / IWDM 2010: 452-458 - [c26]Despina Kontos, Ye Xing, Predrag R. Bakic, Emily F. Conant, Andrew D. A. Maidment:
A comparative study of volumetric breast density estimation in digital mammography and magnetic resonance imaging: results from a high-risk population. Medical Imaging: Computer-Aided Diagnosis 2010: 762409 - 2009
- [c25]Haibin Ling, Michael Barnathan, Vasileios Megalooikonomou, Predrag R. Bakic, Andrew D. A. Maidment:
Probabilistic Branching Node Detection Using Hybrid Local Features. ISBI 2009: 233-236 - [c24]Despina Kontos, Rachelle Berger, Predrag R. Bakic, Andrew D. A. Maidment:
Breast tissue classification in digital breast tomosynthesis images using texture features: a feasibility study. Medical Imaging: Computer-Aided Diagnosis 2009: 726024 - 2008
- [c23]Michael Barnathan, Jingjing Zhang, Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment, Vasileios Megalooikonomou:
Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging. Digital Mammography / IWDM 2008: 25-32 - [c22]Despina Kontos, Cuiping Zhang, Nicole V. Ruiter, Predrag R. Bakic, Andrew D. A. Maidment:
Evaluating the Effect of Tomosynthesis Acquisition Parameters on Image Texture: A Study Based on an Anthropomorphic Breast Tissue Software Model. Digital Mammography / IWDM 2008: 491-498 - [c21]Cuiping Zhang, Predrag R. Bakic, Shugao Xia, Fengshan Liu, Andrew D. A. Maidment:
Evaluation of 3D Breast Surface Reconstruction Accuracy Using Non-contact Scanner Images: A Phantom Study. Digital Mammography / IWDM 2008: 585-592 - [c20]Predrag R. Bakic, Despina Kontos, Andrea B. Troxel, Andrew D. A. Maidment:
Comparison of Breast Percent Density Estimated from Digital Mammograms and Central Reconstructed Tomosynthesis Slice Images. Digital Mammography / IWDM 2008: 674-680 - [c19]Despina Kontos, Predrag R. Bakic, Andrea B. Troxel, Emily F. Conant, Andrew D. A. Maidment:
Digital Breast Tomosynthesis Parenchymal Texture Analysis for Breast Cancer Risk Estimation: A Preliminary Study. Digital Mammography / IWDM 2008: 681-688 - [c18]Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment:
Texture in digital breast tomosynthesis: a comparison between mammographic and tomographic characterization of parenchymal properties. Medical Imaging: Computer-Aided Diagnosis 2008: 69150A - [c17]Cuiping Zhang, Predrag R. Bakic, Andrew D. A. Maidment:
Development of an anthropomorphic breast software phantom based on region growing algorithm. Medical Imaging: Image-Guided Procedures 2008: 69180V - [c16]Nicole V. Ruiter, Cuiping Zhang, Predrag R. Bakic, Ann-Katherine Carton, Johnny Kuo, Andrew D. A. Maidment:
Simulation of tomosynthesis images based on an anthropomorphic software breast tissue phantom. Medical Imaging: Image-Guided Procedures 2008: 69182I - 2007
- [c15]Despina Kontos, Predrag R. Bakic, Andrew D. A. Maidment:
Analysis of parenchymal texture properties in breast tomosynthesis images. Medical Imaging: Computer-Aided Diagnosis 2007: 651417 - [c14]Vasileios Megalooikonomou, Jingjing Zhang, Despina Kontos, Predrag R. Bakic:
Analysis of texture patterns in medical images with an application to breast imaging. Medical Imaging: Computer-Aided Diagnosis 2007: 651421 - [c13]Predrag R. Bakic, Despina Kontos, Cuiping Zhang, Martin J. Yaffe, Andrew D. A. Maidment:
Analysis of percent density estimates from digital breast tomosynthesis projection images. Medical Imaging: Computer-Aided Diagnosis 2007: 651424 - [c12]Predrag R. Bakic, Nenad Vujovic, Andrew D. A. Maidment:
Establishing correspondence in mammograms and tomosynthesis projections. Medical Imaging: Computer-Aided Diagnosis 2007: 651425 - 2006
- [c11]Despina Kontos, Vasileios Megalooikonomou, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment:
Classification of galactograms using fractal properties of the breast ductal network. ISBI 2006: 1324-1327 - [c10]Predrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment:
Registration of Mammograms and Breast Tomosynthesis Images. Digital Mammography / IWDM 2006: 498-503 - [c9]Predrag R. Bakic, Despina Kontos, Vasileios Megalooikonomou, Mark A. Rosen, Andrew D. A. Maidment:
Comparison of Methods for Classification of Breast Ductal Branching Patterns. Digital Mammography / IWDM 2006: 634-641 - [c8]Vasileios Megalooikonomou, Despina Kontos, Joseph Danglemaier, Ailar Javadi, Predrag R. Bakic, Andrew D. A. Maidment:
A representation and classification scheme for tree-like structures in medical images: an application on branching pattern analysis of ductal trees in x-ray galactograms. Medical Imaging: Image Processing 2006: 61441H - [c7]Predrag R. Bakic, Mark A. Rosen, Andrew D. A. Maidment:
Comparison of breast ductal branching pattern classification using x-ray galactograms and MR autogalactograms. Medical Imaging: Image Processing 2006: 614425 - [c6]Predrag R. Bakic, Frédéric J. P. Richard, Andrew D. A. Maidment:
2D-to-3D X-Ray Breast Image Registration. WBIR 2006: 84-91 - 2003
- [c5]Frédéric J. P. Richard, Predrag R. Bakic, Andrew D. A. Maidment:
Non-rigid Registration of Mammograms Obtained with Variable Breast Compression: A Phantom Study. WBIR 2003: 281-290 - 1998
- [c4]Predrag R. Bakic, Dragana Brzakovic, P. Brzakovic, Z. Zhu:
An Approach to Using a Generalized Breast Model to Segment Digital Mammograms. CBMS 1998: 84-89 - [c3]Predrag R. Bakic, Dragana Brzakovic, Z. Zhu:
Anatomic Segmentation of Mammograms Via Breast Model. Digital Mammography / IWDM 1998: 291-294 - 1997
- [c2]Predrag R. Bakic, Dragana Brzakovic:
Extension of CNN-Based Multilevel Halftoning to Color Reproduction. ICIP (1) 1997: 826-829 - [c1]Dragana Brzakovic, Predrag R. Bakic, Nenad Vujovic, Hamed Sari-Sarraf:
A generalized development environment for inspection of web materials. ICRA 1997: 1-8
Editorship
- 2012
- [e1]Andrew D. A. Maidment, Predrag R. Bakic, Sara Gavenonis:
Breast Imaging - 11th International Workshop, IWDM 2012, Philadelphia, PA, USA, July 8-11, 2012. Proceedings. Lecture Notes in Computer Science 7361, Springer 2012, ISBN 978-3-642-31270-0 [contents]
Informal and Other Publications
- 2020
- [i4]Jonas Teuwen, Nikita Moriakov, Christian Fedon, Marco Caballo, Ingrid S. Reiser, Predrag R. Bakic, Eloy García, Oliver Díaz, Koen Michielsen, Ioannis Sechopoulos:
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation. CoRR abs/2006.06508 (2020) - 2014
- [i3]Alireza Nasiri Avanaki, Kathryn S. Espig, Andrew D. A. Maidment, Cédric Marchessoux, Predrag R. Bakic, Tom R. L. Kimpe:
Development and evaluation of a 3D model observer with nonlinear spatiotemporal contrast sensitivity. CoRR abs/1403.6183 (2014) - [i2]Alireza Nasiri Avanaki, Kathryn S. Espig, Albert Xthona, Tom R. L. Kimpe, Predrag R. Bakic, Andrew D. A. Maidment:
It is hard to see a needle in a haystack: Modeling contrast masking effect in a numerical observer. CoRR abs/1408.1135 (2014) - 2013
- [i1]Alireza Nasiri Avanaki, Kathryn S. Espig, Cédric Marchessoux, Elizabeth A. Krupinski, Predrag R. Bakic, Tom R. L. Kimpe, Andrew D. A. Maidment:
Integration of spatio-temporal contrast sensitivity with a multi-slice channelized Hotelling observer. CoRR abs/1304.1419 (2013)
Coauthor Index
[j8] [j6] [j5] [j3] [j2] [j1] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c44] [c43] [c42] [c41] [c38] [c36] [c35] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [e1] [i3] [i2] [i1]
Vasileios Megalooikonomou
aka: Vasilis Megalooikonomou
aka: Vasilis Megalooikonomou
Dragoljub Pokrajac
aka: David D. Pokrajac
aka: David D. Pokrajac
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