Automatic Target Detection Using Multispectral Imaging. - Bilge Karaçali; Wesley E. Snyder (AIPR, 2002)

Partial integrability in surface reconstruction from a given gradient field. - Bilge Karaçali; Wesley E. Snyder (ICIP (2), 2002)

Structural risk minimization using nearest neighbor rule. - A. Ben Hamza; Hamid Krim; Bilge Karaçali (ICASSP (6), 2003)

Topology Preservation and Regularity in Estimated Deformation Fields. - Bilge Karaçali; Christos Davatzikos (IPMI, 2003)

Reconstructing discontinuous surfaces from a given gradient field using partial integrability. - Bilge Karaçali; Wesley E. Snyder (Comput. Vis. Image Underst., 2003)

Fast minimization of structural risk by nearest neighbor rule. - Bilge Karaçali; Hamid Krim (IEEE Trans. Neural Networks, 2003)

Morphological Classification of Medical Images using Nonlinear Support Vector Machines. - Christos Davatzikos; Dinggang Shen; Zhiqiang Lao; Zhong Xue; Bilge Karaçali (ISBI, 2004)

Fully Elastic Multi-Modality Image Registration Using Mutual Information. - Bilge Karaçali (ISBI, 2004)

Noise Reduction in Surface Reconstruction from a Given Gradient Field. - Bilge Karaçali; Wesley E. Snyder (Int. J. Comput. Vis., 2004)

Morphological classification of brains via high-dimensional shape transformations and machine learning methods. - Zhiqiang Lao; Dinggang Shen; Zhong Xue; Bilge Karaçali; Susan M. Resnick; Christos Davatzikos (NeuroImage, 2004)

A comparative analysis of structural risk minimization by support vector machines and nearest neighbor rule. - Bilge Karaçali; Rajeev Ramanath; Wesley E. Snyder (Pattern Recognit. Lett., 2004)

Estimating topology preserving and smooth displacement fields. - Bilge Karaçali; Christos Davatzikos (IEEE Trans. Medical Imaging, 2004)

Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations. - Zhong Xue; Dinggang Shen; Bilge Karaçali; Christos Davatzikos (MICCAI (2), 2005)

A Joint Transformation and Residual Image Descriptor for Morphometric Image Analysis using an Equivalence Class Formulation. - Sokratis Makrogiannis; Ragini Verma; Bilge Karaçali; Christos Davatzikos (CVPR Workshops, 2006)

Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification. - Zhiqiang Lao; Dinggang Shen; Abbas Jawad; Bilge Karaçali; Dengfeng Liu; Elias R. Melhem; R. Nick Bryan; Christos Davatzikos (ISBI, 2006)

Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. - Zhong Xue; Dinggang Shen; Bilge Karaçali; Joshua Stern; David A. Rottenberg; Christos Davatzikos (NeuroImage, 2006)

Simulation of tissue atrophy using a topology preserving transformation model. - Bilge Karaçali; Christos Davatzikos (IEEE Trans. Medical Imaging, 2006)

Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets. - Michael Gormley; William Dampier; Adam Ertel; Bilge Karaçali; Aydin Tözeren (BMC Bioinform., 2007)

Automated detection of regions of interest for tissue microarray experiments: an image texture analysis. - Bilge Karaçali; Aydin Tözeren (BMC Medical Imaging, 2007)

Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers. - Bilge Karaçali; Alexandra P. Vamvakidou; Aydin Tözeren (BMC Medical Imaging, 2007)

Information Theoretic Deformable Registration Using Local Image Information. - Bilge Karaçali (Int. J. Comput. Vis., 2007)

Quasi-supervised learning for biomedical data analysis. - Bilge Karaçali (Pattern Recognit., 2010)

Analytical and predictive quasi-supervised learning for cancer recognition in digital cytology. - Bilge Karaçali (SIU, 2012)

Automated labeling of electroencephalography data using quasi-supervised learning. - Basak Esin Köktürk; Bilge Karaçali (SIU, 2012)

Hierarchical Motif Vectors for Prediction of Functional Sites in Amino Acid Sequences Using Quasi-Supervised Learning. - Bilge Karaçali (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Improved quasi-supervised learning by expectation-maximization. - Bilge Karaçali (SIU, 2013)

Quasi-supervised learning on DNA regions in colon cancer histology slides. - Basak Esin Köktürk; Bilge Karaçali (SIU, 2013)

Model-free expectation maximization for divisive hierarchical clustering of multicolor flow cytometry data. - Basak Esin Köktürk; Bilge Karaçali (BIBM, 2014)

Automatic melodic segmentation of Turkish makam music scores. - Baris Bozkurt; Mustafa Kemal Karaosmanoglu; Bilge Karaçali; Erdem Ünal (SIU, 2014)

Fisher's Linear Discriminant Analysis Based Prediction using Transient Features of Seismic Events in Coal Mines. - Basak Esin Köktürk Güzel; Bilge Karaçali (FedCSIS, 2016)

Imaginary activity recognition using inter-channel time coherence profiles in EEG data. - Bilal Orkan Olcay; Murat Özgören; Bilge Karaçali (SIU, 2016)

Annealing-based model-free expectation maximisation for multi-colour flow cytometry data clustering. - Basak Esin Köktürk; Bilge Karaçali (Int. J. Data Min. Bioinform., 2016)

An efficient algorithm for large-scale quasi-supervised learning. - Bilge Karaçali (Pattern Anal. Appl., 2016)

Brain activity characterization by entropic clustering of EEG signals. - Bilal Orkan Olcay; Bilge Karaçali; Murat Özgören; Çagdas Güdücü (SIU, 2017)

Novel techniques for model-free and fast computation of mutual information. - Serhat Cagdas; Bilge Karaçali (SIU, 2018)

Evaluation of synchronization measures for capturing the lagged synchronization between EEG channels: A cognitive task recognition approach. - Bilal Orkan Olcay; Bilge Karaçali (Comput. Biol. Medicine, 2019)

On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels. - Bilal Orkan Olcay; Murat Özgören; Bilge Karaçali (Neural Networks, 2021)

A Novel Motor Imagery Recognition Approach Based On Perception Latency and Short-Lived Synchronizations. - Bilal Orkan Olcay; Bilge Karaçali (SIU, 2023)

Accelerometer-Based Timing Analysis for Parkinson's Disease Classification. - Fatih Onay; Bilge Karaçali (SIU, 2023)

Time-resolved EEG signal analysis for motor imagery activity recognition. - Bilal Orkan Olcay; Bilge Karaçali (Biomed. Signal Process. Control., 2023)

Temporal electroencephalography features unveiled via olfactory stimulus as biomarkers for mild Alzheimer's disease. - Bilal Orkan Olcay; Murat Pehlivan; Bilge Karaçali (Biomed. Signal Process. Control., 2025)