SENIHA ESEN YUKSEL



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PUBLICATIONS


---> Please check this link for the most recent list of publications <---

INDEXED JOURNAL ARTICLES

6. S.E. Yuksel, S. Kucuk, P. Gader, "SPICEE: An Extension to SPICE for Sparse Endmember Estimation in Hyperspectral Imagery," IEEE Geoscience and Remote Sensing Letters, 2016 (accepted). (SCI) . pdf Link
5. S.E. Yuksel, P. Gader, "Context-based Classification Using a Mixture of Hidden Markov Models with Applications in Landmine Detection," IET Computer Vision, 2016 (accepted). (SCI) . pdf Link
4. S.E. Yuksel, J. Bolton, P. Gader, "Multiple Instance Hidden Markov Models with Applications to Landmine Detection," IEEE Transactions on Geoscience and Remote Sensing, vol.53, no.12, pp.6766-6775, Dec. 2015. (SCI) . pdf Link
3. S.E. Yuksel, T. Dubroca, R.E. Hummel, P.D. Gader, "Differential Reflection Spectroscopy: A Novel Method for Explosive Detection," Acta Physica Polonica A, Vol. 123, no. 2, pp. 263- 264, 2013. (SCI-E) . pdf Link
2. S.E. Yuksel, Joseph N. Wilson, Paul D. Gader, "Twenty Years of Mixture of Experts," IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, issue 8, pp. 1177 - 1193, 2012. (SCI) . pdf Link
1. S.E. Yuksel, Ayman El-Baz, Aly A. Farag, Mohamed El-Ghar, Tarek Eldiasty and Mohamed A. Ghoneim, "A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging," Journal of Vibration and Control, 13 (9 - 10), pp. 1505 -1516, 2007. (SCI-E) pdf Link

OTHER ARTICLES

4. S.E. Yuksel, A. Karakaya, " Fusion of Target Detection Algorithms in Hyperspectral Images, " International Journal of Intelligent Systems and Applications in Engineering, 2016 (accepted). pdf Link
3. S.E. Yuksel " Validation of Registration for Renal Dynamic Contrast Enhanced MRI Imaging, " International Journal of Intelligent Systems and Applications in Engineering, Vol. 4, No.3, 2016. pdf Link
2. A. El-Baz, R. Fahmi, S.E. Yuksel, A.A. Farag, W. Miller, M.A. El-Ghar, T. Eldiasty, " A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI, " Lecture Notes In Computer Science , Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 4191, pp. 446-453, 2006. (Engineering Index: EI) pdf Link
1. A. El-Baz, S.E. Yuksel, H. Shi, A.A. Farag, M.A. El-Ghar, T. Eldiasty, and M. A. Ghoneim " 2D and 3D Shape Based Segmentation Using Deformable Models, " Lecture Notes In Computer Science , Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 3750, pp. 821-829, 2005. (Engineering Index: EI) pdf Link

BOOKS


1. S.E. Yuksel , Context-based classification, LAMBERT Academic Publishing, March 22, 2012. ISBN: 978-3-8465-8323-4. LINK

BOOK CHAPTERS


1. A. El-Baz, A.A. Farag, S.E. Yuksel , M.A. El-Ghar, T. A. Eldiasty and M.A. Ghoneim, " Application Of Deformable Models For The Detection Of Acute Renal Rejection, " in Deformable Models: Biomedical and Clinical Applications (Topics in Biomedical Engineering. International Book Series), J. S. Suri and A. A. Farag Editors, Springer-Verlag, New York, July 2007. ISBN: 978-0-387-31201-9. pdf link

CONFERENCES


28. H. Aytaylan and S.E. Yuksel, "Semantic Segmentation of Hyperspectral Images with the Fusion of LiDAR data", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016. pdf
27. H. Irmak, G.B. Akar and S.E. Yuksel, "Super-resolution Reconstruction of Hyperspectral Images via an Improved MAP-based approach ", IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, July 2016. pdf
26. S.Kucuk and S.E. Yuksel, "Comparison of Rx-Based Anomaly Detectors on Synthetic and Real Hyperspectral Data", IEEE workshop on hyperspectral image and signal processing (WHISPERS), Tokyo, June 2015. pdf
25. H. Irmak, G. B. Akar and S.E. Yuksel, "A Map-Based Approach to Resolution Enhancement of Hyperspectral Images", IEEE workshop on hyperspectral image and signal processing (WHISPERS), Tokyo, June 2015. pdf
24. A.S. Aydogdu, S.E. Yuksel, L. Ozparlak, P. U. Hatipoglu, "LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding", IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015. pdf Link
23. K.G. Toker, S.E. Yuksel, "Accelerating classification time in Hyperspectral Images", IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015. pdf Link
22. M. Oturak, S.E. Yuksel, "Aircraft Recognition from Satellite Images", IEEE 23rd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015. pdf Link
21. Mustafa Boyaci, S.E. Yuksel, "Locating the shadow regions in LIDAR data: results on the SHARE 2012 dataset", SPIE Defense and Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. pdf Link
20. Erdinc Gunes, S.E. Yuksel, "Effect of endmember clustering on proportion estimation: results on the Share 2012 dataset", SPIE Defense and Security: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, April 2015. pdf Link
19. S.E. Yuksel , G.B. Akar, S. Ozturk, " Fusion of forward-looking infrared camera and down-looking ground penetrating radar for buried target detection", SPIE Defense and Security: Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, Baltimore, April 2015. pdf Link
18. S. Kucuk and S.E. Yuksel, "Hiperspektral Görüntülerde Son Eleman Tespiti", 7. Savunma Teknolojileri Kongresi (SAVTEK) , June 2014. pdf
17. S.E. Yuksel, "Endmember Detection using Enhanced Constrained Optimization in Hyperspectral Imaging ", IEEE 22nd Signal Processing and Communications Applications Conference (SIU) , pp. 1023-1026, 2014. pdf link
16. S.E. Yuksel, J. Bolton, P. Gader, "Landmine Detection With Multiple Instance Hidden Markov Models ", IEEE International Workshop on Machine Learning For Signal Processing (MLSP) , pp. 1-6, September 2012. pdf link
15. S.E. Yuksel, P. Gader, "Mixture of HMM Experts with Applications to Landmine Detection" , IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , pp. 6852 – 6855, July 2012.
14. S.E. Yuksel, T. Dubroca, R. Hummel, P. Gader, " An automatic detection software for differential reflection spectroscopy,", SPIE Defense, Security, and Sensing: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery, Vol. 8390, pp. 83900B, May 2012. Link
13. A. Zare, P. Gader, J. Bolton, S.E. Yuksel, T. Dubroca, R. Close, R. Hummel " Sub-pixel Target Spectra Estimation and Detection Using Functions of Multiple Instances", IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) , pp.1-4, June 2011. pdf Link
12. S.E. Yuksel , T. Dubroca, R. Hummel, P. Gader, "Spectral Analysis for the Detection of Explosives with Differential Reflectometry", Grace Hopper Conference (GHC) , 2011.
11. S.E. Yuksel , P. Gader, "Variational Mixture of Experts for Classification with applications to landmine detection ", International Conference on Pattern Recognition (ICPR) , pp. 2981- 2984, 2010. pdf
10. X. Zhang, S.E. Yuksel , P. Gader, J.Wilson, "Simultaneous Feature and HMM Model Learning for Landmine Detection using Ground Penetrating Radar, " Pattern Recognition in Remote Sensing Workshop (PRRS) , pp. 1-4, 2010. pdf
9. S.E. Yuksel , P.J. Dobbins, " Engineering Education for the Net Generation: A Case Study of How Students Use Resources in Software Engineering, " International Engineering Education Conference (IEEC) , pp. 179-182, 2010.
8. S.E. Yuksel , G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, "Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems," IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , vol.2, pp. 177-180, 7-11 July 2008. pdf
7. A. El-Baz, A.A. Farag, R. Fahmi, S.E. Yuksel , M.A. El-Ghar, T. Eldiasty, " Image Analysis of Renal DCE-MRI for the Detection of Acute Renal Rejection," 18th International Conference on Pattern Recognition (ICPR) , (3) 2006, pp. 822-825. pdf
6. A. El-baz, A.A. Farag, H. A. El Munim, and S.E. Yuksel , "Level Set Segmentation using Statistical Shape Priors, " Computer Vision and Pattern Recognition Workshop (CVPRW), NY, USA, June 17-18, 2006, pp. 78-85. pdf
5. A. Farag, A. El-Baz, S.E. Yuksel , M.A. El-Ghar, T. Eldiasty, "A Framework for the Detection of Acute Renal Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging, " Proceedings of International Symposium on Biomedical Imaging: Nano to Macro (ISBI), Arlington, Virginia, April 2006, pp.418 - 421. pdf
4. A. El-Baz, A.A. Farag, S.E. Yuksel , M.A. El-Ghar and T. Eldiasty, "A Novel Approach for the Detection of Acute Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging ", 13th European Symposium on Urogenital Radiology (ESUR), September 2006. link
3. S.E. Yuksel , A. El-Baz, and A.A. Farag, "A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging, " Mathematical Methods in Engineering International Symposium (MME), April 2006.
2. S.E. Yuksel , A. El-Baz, A.A. Farag, M.E.A. El-Ghar, T.A. Eldiasty, and M.A. Ghoneim, "Automatic detection of renal rejection after kidney transplantation, " Proc. of Computer Assisted Radiology and Surgery (CARS), Germany, 2005 , pp.773-778. pdf
1. A. El-Baz, S.E. Yuksel , S. Elshazly, and A. A. Farag, "Non-rigid registration techniques for automatic follow-up of lung nodules, " Proc. of Computer Assisted Radiology and Surgery (CARS), Berlin, Germany, June 22-25, 2005, pp. 1115-1120. pdf

DISSERTATION & THESIS


1. S.E. Yuksel, "Context-based classification via data-dependent mixtures of logistic and hidden Markov model classifiers", Doctor of Philosophy, University of Florida, Gainesville, FL, August 2011. pdf
2. S.E. Yuksel, "Image Processing Methods For the Detection of Acute Rejection After Kidney Transplantation", Master of Science, University of Louisville, KY, December 2005. pdf

PROJECTS / FUNDED PROPOSALS


11. Principal Investigator, ''Fusion of Hyperspectral Imaging with LiDAR Data'', Tubitak 3501 Career Grant, September 2015- 2017.
10. Consultant, ''Application of Fusion Methods for Target Detection and Classification using Ground Penetrating Radar'', Tubitak Teydeb 1501 Grant, March 2015 – 2017.
9. Advisor, ''Unmanned Aerial Vehicle Based Multi Spectral Analysis Study'', Tubitak BÝDEB 2209B(2241A) Industry Oriented Undergraduate Thesis Support Program, Project No: 1139B411502220, October 2015 – May 2016.
8. Consultant, ''IGT-TUYGUN: Advanced Imaging Technologies Project for Hyperspectral Image Analysis and Target Detection'', Funded by SSM & Havelsan Inc., March 2014- August 2015.
7. Consultant, ''Data Fusion with Network Capabilities for Decision Support'', Tubitak Teydeb 1507 Grant, 2014-2015.
6. Consultant, ''Image Processing for Data Matrices'', AGE Inc., 2014.
5. Researcher, ''Standoff Detection of Explosive Materials by Differential Reflectometry'', National Science Foundation (NSF), USA (01/01/2011 – 15/09/2012), PI: Prof. Rolf Hummel.
4. Researcher, “Autonomous Mine Detection Systems (AMDS)”, Army Research Office, USA, PI: Prof. Paul Gader.
3. Researcher, “EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects”, PI: Prof. Paul Gader, National Science Foundation (NSF), USA, 09/01/2007 - 08/31/2010.
2. Researcher, “EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects”, PI: Prof. Paul Gader, National Science Foundation (NSF), USA, 09/01/2007 - 08/31/2010.
1. Investigating Researcher, “Image Analysis for Identification of Renal Transplant Rejection”, PI’s: Prof. Aly A. Farag and Tarek El-Diasty, National Science Foundation (NSF) Grant, USA, Budget: 60K. Project Duration: 9/1/06 – 9/1/08.
*** I was responsible for a significant amount of the preliminary work to enable the success of the original proposal being accepted by the NSF.

INVITED TALKS


5. Securing our borders: from landmine to explosive detection, Middle East Technical University, Ankara, Turkey, 2012.
4. Advances in landmine detection, invited talk at the CNEL Lab, Department of Electrical and Computer Engineering, University of Florida, 2012.
3. When databases meet datamining, Appalachian State University, Boone, NC, 2012.
2. Context-based classification using mixtures of hidden Markov model classifiers, Opera Solutions, San Diego, 2011.
1. Traditional and variational mixture of experts, ARCON Cooperation, Boston, 2011.

POSTER PRESENTATIONS


4. S.E. Yuksel , P. Gader, "Evolution of Clusters for Time-Series Data", Grace Hopper Conference, Atlanta, 2010.
3. S.E. Yuksel , G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, "Advances in landmine detection using WEMI and GPR data," NSF Research Day, October 13, 2009.
2. S.E. Yuksel , G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, "Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems," Google Workshop for Women Engineers, 2008.
1. S.E. Yuksel , A. El-Baz, A.A. Farag and G.C. Postel, "Automatic detection of renal rejection after kidney transplantation," Research!Louisville, Oct.31-Nov.4, 2005 (1st place award) .



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