PUBLICATION

In Peer Reviewed Journals:

Kazim Sekeroglu, Ömer M. Soysal (2022). “Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification”, Sensors 22 (Medical Image Classification), no. 22: 8949. https://doi.org/10.3390/s22228949.

Ömer M. Soysal, Kazim Şekeroğlu, Jeff Dickey (2019). “An Automated Geo-Spatial Correction Framework for Transportation”, Journal of Traffic and Transportation Engineering. 6(2), pp.147-161, 2019. https://doi.org/10.1016/j.jtte.2018.01.007.

Masoud Z. Lifkooee, Ömer M. Soysal (equal contribution), Kazim Sekeroglu (2019). “Video Mining for Facial Action Unit Classification using Statistical Spatial-temporal Feature Image and LoG Deep Convolutional Neural Network”, Machine Vision and Applications, 30(1): 41-57. https://doi.org/10.1007/s00138-018-0967-2.

Kazim Şekeroğlu, Ömer M. Soysal (equal contribution) (2017). “Comparison of SIFT, Bi-SIFT, and Tri-SIFT and their frequency spectrum analysis”. Machine Vision and Applications, 28(8):875–902. http://link.springer.com/article/10.1007/s00138-017-0868-9.

Ömer M. Soysal, Eera Gupta, Harisha Donepudi (2016). “A Sparse Memory Allocation Data Structure for Sequential and Parallel Association Rule Mining”. The Journal of Supercomputing, 72(2):347–370. DOI.

Ömer M. Soysal (2015). “Association Rule Mining with Mostly Associated Sequential Patterns”. Expert Systems with Applications, 42(5): 2582–2592.

Saffet Erdogan, Veli Ilçi, Omer Soysal, Aysegul Korkmaz (2015). “Model Suggestion for the Determination of the Traffic Accident Hotspots on the Turkish Highway Road Network: A Pilot Study”, Boletim de Ciências Geodésicas, 21(1): 169-188.

Ömer M. Soysal, Jianhua Chen (2013). “Object Recognition by Spectral Feature Derived from Canonical Shape Representation”, Machine Vision and Applications, v.24, n.2, pp: 855-868.

Ömer M. Soysal, Jianhua Chen, Helmut Schneider (2012). “Efficient Photometric Feature Extraction in a Hierarchical Learning Scheme for Nodule Detection”, The International Journal of Granular Computing, Rough Sets and Intelligent System, v.2, n.4, pp: 314-326.

Joni A. N. Shreve, Helmut Schneider, Ömer M. Soysal (2011). “A Methodology for Comparing Classification Methods through the Assessment of Model stability and Validity in Variable Selection”, Decision Support Systems, 52: 247–257.

Metin Tulgar, Ömer M. Soysal (2003). "Inductively coupled transmission of neuro-active signals: Analysis of optimal parameters", Medical Physics, v.30 pp.79-100.

In Peer Reviewed Conferences:

Ömer M Soysal, Muhammed E Oztemel (2023). “Exploring Permanence and Uniqueness of EEG Brain Signals as a Biometric Signature, Part-I: Template-based Techniques”, 10th Annual Conf. on Computational Science & Computational Intelligence Health Informatics and Medical Systems. (to appear).

Muhammed E Oztemel, Ömer M Soysal (2023). “Exploring Permanence and Uniqueness of EEG Brain Signals as a Biometric Signature, Part-II: Statistical Techniques”, 10th Annual Conf. on Computational Science & Computational Intelligence Health Informatics and Medical Systems. (to appear). 

Murtaza Aslam, Fozia Rajbdad, Ömer M. Soysal (2021). “Weight Perception Analysis using Electroencephalographic Signals”. The 2021 International Conference on Computational Science and Computational Intelligence.

Ömer M. Soysal, Fettah Kiran, Jianhua Chen (2020). “Quantifying Brain Activity State: EEG analysis of Background Music in A Serious Game on Attention of Children”. International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT2020: Oct 22-24, 2020, IEEE.

Kazim Sekeroglu and Ömer M. Soysal (equal contribution), Xin Li (2019). “Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification”, 19th Industrial Conference on Data Mining ICDM 2019, pp. 792-804, July 17-21, 2019, New York, USA.

Ömer M. Soysal, Shahrzad Shirzad, Kazim Sekeroglu (2017). “Facial Action Unit Recognition using Data Mining Integrated Deep Learning”. Proceedings of the 2017 International Conference on Computational Science and Computational Intelligence (CSCI'17: 14-16 December 2017, Las Vegas, Nevada, USA) pp.437-443, DOI 10.1109/CSCI.2017.74; Publisher: IEEE Computer Society, Editors: H. R. Arabnia, L. Deligiannidis, F. G. Tinetti, Q-N. Tran, M. Qu Yang.

Dereli Mehmet Ali, Erdoğan Saffet, Soysal Ömer, et. al (2015). “Coğrafi Bilgi Sistemleri Destekli Trafik Kaza Kara Nokta Belirleme: Empirik Bayes Örneği”, 17. Akademik Bilişim Konferansı 2015.

Dereli Mehmet Ali, Erdoğan Saffet, Çabuk Alper, Soysal Ömer, et. al (2015). “İstatistiksel Yöntemler Kullanılarak Coğrafi Bilgi Sistemleri Destekli Kara Nokta Belirleme Çalışmaları”. 15. Harita Bilimsel ve Teknik Kurultayı, 25-27 Mart 2015.

Mehmet Ali Dereli, Saffet Erdoğan, Muhammet Ömer Soysal, et al. (2014) “Trafik Kaza Kara Noktalarının Belirlenmesi İçin Coğrafi Bilgi Sistemleri (CBS) Destekli Mekânsal İstatistiksel Metodların Kullanılması”, 7. Ulusal Muhendislik Olcmeleri Sempozyumu, Corum, Turkiye.

Dereli Mehmet Ali, Erdoğan Saffet, Tiryakioğlu İbrahim, Uysal M, Akbulut H, Dündar S, Yalçın M, Gülal AE, Arslan Y, Kantar M, Çabuk A., Soysal MÖ (2014). “Determination of Traffic Accident Black Spots on Afyonkarahisar-Konya Highways”, 1st International Geomaplica Conference 2014.

Omer M. Soysal, Pei Li, Helmut Schneider, et al. (2012). “Online Geographic Information Systems Based Iconic Visual Query and Information Visualization Framework for Exploratory Data Analysis”, 11th International Conference on Information and Knowledge Engineering (IKE'12) in WORLDCOMP’12.

Ömer M. Soysal, Helmut Schneider, Asim Shrestha, et al. (2012). “Zonal Statistics to Identify Hot-regions of Traffic Accidents”, 9th International Conference on Modeling, Simulation and Visualization Methods (MSV’12) in WORLDCOMP’12.

Ömer M. Soysal, Jianhua Chen, Helmut Schneider (2010). “An Image Processing Tool for Efficient Feature Extraction in Computer-Aided Detection Systems”, Proceedings of IEEE International Conference on Granular Computing (GrC2010), pp: 438-442, in August 2010, Sillicon Valley, USA. (Selected to be published with an extended version at the International Journal of Granular Computing, Rough Sets and Intelligent System).

Ömer M. Soysal, Jianhua Chen, Steven Bujenovic, Helmut Schneider (2010). "A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images", 11th International Conference on Bioinformatics and Computational Biology (BIOCOMP'10) in WORLDCOMP’10, vol1, pp.387-393.

Ömer M. Soysal, San Chu, Helmut Schneider, Cory Hutchinson (2010). "Information Visualization Using Sub-segment Road Statistics Obtained by Coordinate Transformation in GIS Environment", 7th International Conference on Modeling, Simulation and Visualization Methods (MSV'10) in WORLDCOMP’10 -- GIS Workshop Session on Geographic Information System Based Decision Support Systems, pp.303-306.

Mohammad A. Salam, Ömer M. Soysal, Helmut Schneider (2010). "Integration of Wireless Sensor Networks in Geographical Information Systems: A survey", 7th International Conference on Modeling, Simulation and Visualization Methods (MSV’10) in WORLDCOMP’10 -- GIS Workshop Session on Geographic Information System Based Decision Support Systems, pp.307-312.

Ömer M. Soysal, Jianhua Chen and Helmut Schneider (2008). “A New Spectral Feature For Shape Comparison”. International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'08) in WORLDCOMP’08, pp. 23-27.

Ömer M. Soysal and Jianhua Chen (2007). “Matching Polygons Using Canonical String Representation”. International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'07)  in WORLDCOMP’07, pp. 331-337.

Ahmet Tan, Osman Kandara, Ömer M. Soysal, and Helmut Schneider (2007). “Neural Network Based Missing Data Recovery For Crash Database”. International Conference on Data Mining (DMIN’07) in WORLDCOMP’07, pp. 407-713.

Ömer M. Soysal, Bahadir Gunturk , Kenneth L. Matthews II (2006). “Image Retrieval Using Canonical Cyclic String Representation of Polygons With Their Distance Vectors”, IEEE Signal Processing Society, The International Conference on Image Processing (ICIP), pp: 1493-1496.

Ömer M. Soysal, Patrick F. Mensah, Amitava Jana and Michael A. Stubblefield (2002). "A Fuzzy Logic Control Model for the Curing Process of Heat-Activated Coupling of FRP Composites to Alloy Pipes", Proceedings of ETCE2002 ASME Engineering Technology Conference on Energy.

Patrick F. Mensah, Ömer M. Soysal, and A. Jana (2002), "Transient Two-Dimensional Numerical Modeling of Asymmetric Heat-Activated Bonding Process,", Proceedings of ETCE2002 ASME Engineering Technology Conference on Energy, ETCE2002/CMDA-29073, Houston, TX , USA.

Patrick F. Mensah, Michael A. Stubblefield, Ömer M. Soysal, Li Guoqiang (2001). "Numerical Model for Thermal and Material Characterization of FRP Composite Pipes Exposed to Hydrocarbon Fire" Proceedings of ETCE 2001, 23rd ASME Energy Sources Technology Conference and Exposition, Houston, Texas, USA.

Patrick F. Mensah, Michael A. Stubblefield, Ömer M. Soysal, Li Guoqiang  (2001). "Modeling of Heat-Activated Coupled Composite Pipes In A Cryogenic Thermal Environment", Proceedings of ETCE 2001, 23rd ASME Energy Sources Technology Conference and Exposition, Houston, Texas, USA.

Metin Tulgar, Ömer M. Soysal (1999),"Biyoaktif Sinyallerin Endüktif Kuplaj Yöntemiyle Iletilmesi (Transferring bio-active signals via inductive coupling)", XI. Ulusal Biyofizik Kongresi (XI. National Biophysical Symposium), Akdeniz University, Turkey.

Other Papers and Presentations:

Ömer M. Soysal, Muhammed Yeter, Kyle Tran, David Shockly, Abby Ortego, Holden Heldenbrand, Maikayla Brunner (2023). 2023 LBRN Annual Meeting,  https://www.youtube.com/watch?v=KfR3z9kVHag&list=PLV8dyTG7O7VZY56fG4bg5oyE0ayYI4pEt&index=36.

Ömer M. Soysal, Shahrzad Shirzad, Jeff Dickey (2017). “An Efficient Data Mining Tool for Analysis of Crash Patterns”, ATSIP Traffic Records Forum 2017, New Orleans, LA, USA.

Ömer M. Soysal, Jeff Dickey, Kazim Sekeroglu, Eera Gupta, Eric Newman (2015). “A GIS Based Location Information Correction Framework for Crash Data”. 31st Annual Louisiana Remote Sensing and GIS Workshop, May 12 - 13, 2015, Pennington Biomedical Research Center, Baton Rouge, Louisiana.

Ömer M. Soysal, Jeff Dickey, Kazim Sekeroglu, Eera Gupta, Eric Newman (2014). “A GIS Based Location Information  Correction Framework for Crash Data”. 2014 Traffic Records Forum 26-29, OCTOBER 2014.

Ömer M. Soysal, Harisha Donepudi, Naveen K. Kondoju, et. al. (2012), “Exploring Crash Patterns by Data Mining Techniques”, ATSIP Traffic Records Forum 2012.

Ömer M. Soysal, Pei Li, Harisha Donepudi, et.al. (2012). “An Online GIS Based Exploratory Data Analysis System for Road Network Data”, ATSIP Traffic Records Forum 2012.

Ömer M. Soysal (2011). “Computer Aided Detection of Tumors”. 2011 NSF CAREER Award Regional Forum, Baton Rouge, LA, USA.

Ömer M. Soysal, Helmut Schneider, Cory J. Hutchinson (2011). “A GIS System to Identify Problem Locations and Support Enforcement Deployment”. ESRI International User Conference 2011, in the session GIS Tools and Systems for Accident Analysis and Prevention I, San Diego, CA, July 11-15.

Ömer M. Soysal and Cory J. Hutchinson (2010). "A Framework for Louisiana State Police GIS Based Online CMV Crash Data Analysis System". 36th International Forum on Traffic Records & Highway Safety Information Systems, New Orleans, LA, USA.

Ömer M. Soysal (2010). “Computer Aided Detection Systems”. 2010 Dr. Leroy C. Roquemore Computer Science Symposium, Department of Computer Science, Southern University, Baton Rouge, LA, USA.

Ömer M. Soysal (2009). “GIS at HSRG”, User Luncheon of Highway Safety Research Group, Baton Rouge, LA, USA.

Helmut Schneider, Ömer M. Soysal, Mustafa Erdem, Cory J. Hutchinson (2009). "Spatial Analysis of Alcohol-related Motor Vehicle Crashes: A Case Study of Lafayette Parish, LA". 25th Annual Louisiana Remote Sensing and GIS Workshop, Baton Rouge, Louisiana, USA.

Ömer M. Soysal, Mustafa Erdem Helmut Schneider, Cory J. Hutchinson (2009). “Assisting Policy Makers by Geo-Spatial Analysis Tools: A Case Study of CMV Crashes to Analyze Manner of Collisions in Louisiana”, 25th Annual Louisiana Remote Sensing and GIS Workshop, Baton Rouge, Louisiana, USA.

Patrick F. Mensah, Ömer M. Soysal, Michael A. Stubblefield, and Amitava Jana (2001), "Improving Heat-Activated Curing for Coupling of Composite to ALoy Piping: A Simulation Model " Eight International Conference on Composite Engineering (ICCE VIII).

Metin Tulgar, Ömer M. Soysal (1999). "Biyoaktif Sinyallerin Endüktif Kuplaj Yöntemiyle Iletilmesi Transferring bio-active signals via inductive coupling)", XI. Ulusal Biyofizik Kongresi (XI. National Biophysical Symposium) in Akdeniz University, Turkey.

İbrahim Çayiroglu, Ömer M. Soysal (1997). "Çok Salinimli Otomatik Besik Tasarimi (Multy-Swing Automatic Cradle)", 3rd International Mechatronic Design and Modeling Workshop, pp. 279, METU, Ankara, Turkey.