Image Retrieval using Canonical Cyclic String Representation of Polygons. - Ömer M. Soysal; Bahadir K. Gunturk; Kenneth L. Matthews II (ICIP, 2006)

Neural Network Based Missing Data Recovery For Crash Database. - Ahmet Tan; Osman Kandara; Ömer M. Soysal; Helmut Schneider (DMIN, 2007)

Matching Polygons Using Canonical String Representation. - Ömer M. Soysal; Jianhua Chen 003 (IPCV, 2007)

A New Spectral Feature for Shape Comparison. - Ömer M. Soysal; Jianhua Chen 003; Helmut Schneider (IPCV, 2008)

A Hierarchical Decision Engine for Computer Aided Lung Nodule Detection from CT Images. - Ömer M. Soysal; Jianhua Chen 003; Steven Bujenovic; Helmut Schneider (BIOCOMP, 2010)

An Image Processing Tool for Efficient Feature Extraction in Computer-Aided Detection Systems. - Ömer M. Soysal; Jianhua Chen 003; Helmut Schneider (GrC, 2010)

Integration of Wireless Sensor Networks in Geographical Information Systems: A survey. - Mohammad Salam; Ömer M. Soysal; Helmut Schneider (MSV, 2010)

Information Visualization Using Sub-segment Road Statistics Obtained by Coordinate Transformation in GIS Environment. - Ömer M. Soysal; San Chu; Helmut Schneider; Cory Hutchinson (MSV, 2010)

A methodology for comparing classification methods through the assessment of model stability and validity in variable selection. - J. Shreve; Helmut Schneider; Ömer M. Soysal (Decis. Support Syst., 2011)

Efficient photometric feature extraction in a hierarchical learning scheme for nodule detection. - Ömer M. Soysal; Jianhua Chen 003; Helmut Schneider (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2012)

Object recognition by spectral feature derived from canonical shape representation. - Ömer M. Soysal; Jianhua Chen 003 (Mach. Vis. Appl., 2013)

Association rule mining with mostly associated sequential patterns. - Ömer M. Soysal (Expert Syst. Appl., 2015)

A sparse memory allocation data structure for sequential and parallel association rule mining. - Ömer M. Soysal; Eera Gupta; Harisha Donepudi (J. Supercomput., 2016)

Comparison of SIFT, Bi-SIFT, and Tri-SIFT and their frequency spectrum analysis. - Kazim Sekeroglu; Ömer M. Soysal (Mach. Vis. Appl., 2017)

Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. - Kazim Sekeroglu; Ömer Muhammet Soysal; Xin Li (MLDM (2), 2019)

Video mining for facial action unit classification using statistical spatial-temporal feature image and LoG deep convolutional neural network. - Masoud Zadghorban Lifkooee; Ömer M. Soysal; Kazim Sekeroglu (Mach. Vis. Appl., 2019)

Weight Perception Analysis using Electroencephalographic Signals : Full/regular papers, CSCI-ISPC. - Murtaza Aslam; Fozia Rajbdad; Ömer M. Soysal (CSCI, 2021)

Multi-Perspective Hierarchical Deep-Fusion Learning Framework for Lung Nodule Classification. - Kazim Sekeroglu; Ömer Muhammet Soysal (Sensors, 2022)

Effect of Signal Conditioning and Evoked-Potential Based Representation on Stability and Distinctiveness of EEG Brain Signatures. - Muhammed Esad Oztemel; Ömer Muhammet Soysal (ISDFS, 2024)

Effectiveness of Cross-Model Learning Through View-Model Ensemble on Detection of Spatiotemporal EEG Patterns. - Ömer Muhammet Soysal; Iphy Emeka Kelvin; Muhammed Esad Oztemel (VISIGRAPP (2): VISAPP, 2025)