Publications

Thesis

1. A. Yavariabdi, "Mapping Endometrial Implants by Registering Transvaginal Ultrasound to Pelvic Magnetic Resonance Images", PhD Dissertation, University of Auvergne, Clermont Ferrand, France, 2014. [PDF]
2. A. Yavariabdi, "Obtain Depth from Defocus", Master Dissertation, University of Warwick, Coventry, UK, 2010. [PDF]

SCI/SCI-E Journal Papers

1. H.Kusetogullari and A. Yavariabdi, "Evolutionary Multiobjective Multiple Description Wavelet Based Image Coding in the Presence of Mixed Noise in Images", Applied Soft Computing. Oct. 2018. DOI: 10.1016/j.asoc.2018.10.015
2. H.Kusetogullari and A. Yavariabdi, "Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach", Journal of Mathematical Problems in Engineering, may 2018.
3. A. Yavariabdi, H.Kusetogullari, "Change Detection in Multispectral Landsat Images Using Multi-Objective Evolutionary Algorithms", IEEE Geoscience and Remote Sensing Letters, December 2016.
4. A. Yavariabdi, A. Bartoli, C. Samir, M. Artigues, D. Da Ines, and M. Canis, “Mapping and Characterizing Endometrial Implants by Registering 2D Transvaginal Ultrasound to 3D Pelvic Magnetic Resonance Images”, Journal of Computerized Medical Imaging and Graphics (CMIG), Elsevier, June 2015.
5. H. Kusetogullari, A. Yavariabdi, and Turgay Celik, “Unsupervised Change detection in Multi-temporal Multi-spectral Satellite Images using Parallel Particle Swarm Optimization”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), May 2015.

International Conference Papers

1. A. Yavariabdi, H. Kusetogullari, E. Mendi, and B. Karabatak, "Unsupervised Change Detection using Thin Cloud-Contaminated Landsat Images", IEEE International Conference on Intelligent Systems, Madeira Island, Portugal, September 2018.
2. M. F. Demir, A. Cankirli, B. Karabatak, A. Yavariabdi, E. Mendi, and H. Kusetogullari, " Real-Time Resistor Color Code Recognition using Image Processing in Mobile Devices", IEEE International Conference on Intelligent Systems, Madeira Island, Portugal, September 2018.
3. H. Kusetogullari, A. Yavariabdi, "Self-Adaptive Hybrid PSO-GA Method for Change Detection Under Varying Contrast Conditions on Satellite Images", IEEE Int. Science and Information Conf. on Computing, pp. 361-368, London, UK, 2016.
4. A. Yavariabdi, H. Kusetogullari, A. B. Usakli, "Unsupervised Satellite Change Detection Using Particle Swarm Optimization in Spherical Coordinates", International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA), Kyrenia, Cyprus, 2015.
5. A. Yavariabdi, C. Samir, and C. Hordonneau, “Curves-Driven Smooth Deformation Field for Multimodal TVUS-MR Image Registration”, Proceedings of the Medical Image Understanding and Analysis Conference (MIUA), Lincoln, UK, July 2015.
6. A. Yavariabdi, C. Samir, A. Bartoli, D. Da Ines, and N. Bourdel, “Contour-Based TVUS-MR Image Registration for Mapping Small Endometrial Implants”, Proceedings of the Computational and Clinical Applications in Abdominal Imaging at MICCAI (ABD-MICCAI), Nagoya, Japan, September 2013.
7. A. Yavariabdi, C. Samir, A. Bartoli, D. Da Ines, and N. Bourdel, “Mapping Endometrial Implants by 2D/2D Registration of TVUS to MR Images from Point Correspondences”, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), San Francisco, CA, USA, April 2013.
8. A.Yavariabdi, C. Samir, and A. Bartoli, “3D Medical Image Enhancement based on Wavelet Transforms”, Proceedings of the Medical Image Understanding and Analysis Conference (MIUA), London, UK, July 2011.
9. H. Kusetogullari, A. Yavariabdi, M. S. Leeson, and E. L. Hines, “Genetic Algorithm Based Rainbow Network Flow Optimization for Multiple Description Coding in Lossy Networks”, Proceedings of the IEEE International Conference on Internet Technology and Secured Transactions (ICITST), London, UK, pp. 1--6, November 2010.