Publications
- G. Sucu, E. Akbas, I. Oztekin, E. Mizrak, F. T. Yarman Vural, "Decoding cognitive states using the bag of words model on fMRI time series", 24th IEEE Conference on Signal Processing and Communications Applications (SIU), 2016.
link
- A. Afrasiyabi, I. Onal, F. T. Yarman Vural, "Effect of voxel selection on temporal mesh model for brain decoding", 24th IEEE Conference on Signal Processing and Communications Applications (SIU), 2016.
link
- O. Yildiz, F. I. Dogan, I. Oztekin, E. Mizrak, F. T. Yarman Vural, "A robust normalization method for fMRI data for brain decoding", 24th IEEE Conference on Signal Processing and Communications Applications (SIU), 2016.
link
- I. Onal, M. Ozay, F. T. Yarman Vural, "Modeling Voxel Connectivity for Brain Decoding", International Workshop on Pattern Recognition in Neuroimaging (PRNI), 2015.
link
- I. Onal, M. Ozay, F. T. Yarman Vural, "Functional Mesh Model with Temporal Measurements for Brain Decoding", 37th annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.
link
- I. Onal, A. Temizel, F. T. Yarman Vural, "Spatial and Temporal Feature Extraction for Brain Decoding using CUDA", GPU Technology Conference (GTC) 2015.
link
- I. Onal, E. Aksan, B. Velioglu, O. Firat, M. Ozay, F. T. Yarman Vural. Bilişsel durum analizi için beyin ağı modeli, 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015.
link
- H. Mogultay, S. Alkan, F. T. Yarman Vural. "Classification of fMRI data by using clustering", 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015.
link
- A. Afrasiyabi, F. T. Yarman Vural. "fMRG Verilerine Temel Bileşenşer Analizi ve Özyinelemeli Boyut Eliminasyonu Kullanarak Boyut Küçültme", 23rd IEEE Conference on Signal Processing and Communications Applications (SIU), 2015.
link
- S. Alkan, F. T. Yarman Vural. "Ensembling brain regions for brain decoding",37th annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015.
link
- O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Deep Learning for Brain State Decoding",13th IEEE International Conference on Image Processing (ICIP), 2014. pdf
- I. Onal, E. Aksan, B. Velioglu, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Modeling the Brain Connectivity for Pattern Analysis", 22nd International Conference on Pattern Recognition (ICPR), 2014.pdf
- B. Velioglu, E. Aksan, I. Onal, O. Firat, M. Ozay, F. T. Yarman Vural, "Functional Networks of Anatomic Brain Regions", 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), 2014.pdf
- O. Firat, I. Onal, E. Aksan, B. Velioglu, I. Oztekin, F. T. Yarman Vural, "Large Scale Functional Connectivity For Brain Decoding", 11th IASTED International Conference on Biomedical Engineering (BioMed), 2014.pdf
- O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Discriminative Functional Connectivity Measures for Brain Decoding", arXiv preprint arXiv:1402.5684, 2014. pdf
- O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding", International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2014. link
- I. Onal, E. Aksan, B. Velioglu, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, "Estimating Brain Connectivity for Pattern Analysis", 22nd IEEE Conference on Signal Processing and Communications Applications (SIU), 2014.pdf
- S. Alkan, F. T. Yarman Vural, "Localization of semantic category classification in fMRI images", 22nd IEEE Conference on Signal Processing and Communications Applications (SIU), 2014.pdf
- O. Ekmekci, O. Firat, M. Ozay, I. Oztekin, F. T. Yarman Vural, U. Oztekin, "Mesh Learning for Object Classification using fMRI Measurements",12th IEEE International Conference on Image Processing (ICIP), 2013.pdf
- O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Functional Mesh Learning for Pattern Analysis of Cognitive Processes",12th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC), 2013.
(Best Paper Award) pdf
- I. Onal, M. Ozay, O. Firat, I. Oztekin, F. T. Yarman Vural, "Analyzing the Information Distribution in the fMRI measurements by estimating the degree of locality",35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013.pdf
- O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Representation of Cognitive Processes Using the Minimum Spanning Tree of Local Meshes",35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2013.pdf
- I. Onal, M. Ozay, O. Firat, I. Oztekin, F. T. Yarman Vural, "Information Distribution Analysis in the fMRI measurements with Degree of Locality Estimation",IEEE 21th Conference on Signal Processing and Communications Applications (SIU), 2013.pdf
- O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "Cognitive Processes Representation Using Minimum Spanning Tree of Local Meshes",IEEE 21th Conference on Signal Processing and Communications Applications (SIU), 2013.pdf
- O. Firat, M. Ozay, I. Onal, I. Oztekin, F. T. Yarman Vural, "A Mesh Learning Approach for Brain Data Modeling",IEEE 20th Conference on Signal Processing and Communications Applications (SIU), 2012.pdf
- M. Ozay, I. Oztekin, U. Oztekin, F. T. Yarman Vural, "Mesh Learning for Classifying Cognitive Processes", arXiv:1205.2382v2.link
- M. Ozay, I. Oztekin, U. Oztekin, F. T. Yarman Vural, "Modeling cognitive states using machine learning techniques", Neuroinformatics 2011, Boston, MA, USA.abstract
Presentations
- "Functional Mesh Learning for Pattern Analysis of Cognitive Processes" Presentation at ICCI*CC in July 2013 [link]
- "Scalable Computation for fMRI Data Analysis" Presentation at ITAP in July 2013 [pdf]
- "Mesh Learning for Cognitive State Recognition" Presentation at ITAP in July 2012 [link]
- "Mesh Learning for Classifying Cognitive Processes" Presentation at Google in January 2012 [ppt][pdf]
