Bilge Karacali, Ph.D.
Affiliations: | 2002 | North Carolina State University, Raleigh, NC |
Area:
Electronics and Electrical Engineering, Biomedical Engineering, RadiologyGoogle:
"Bilge Karacali"Parents
Sign in to add mentor| Wesley E. Snyder | grad student | 2002 | NCSU | |
| (Vector space methods for surface reconstruction from one or more images acquired from the same view with application to scanning electron microscopy images.) | ||||
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Publications
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| Karaçalı B. (2016) An efficient algorithm for large-scale quasi-supervised learning Pattern Analysis and Applications. 19: 311-323 |
| Bozkurt B, Karaçalı B. (2015) A computational analysis of Turkish makam music based on a probabilistic characterization of segmented phrases Journal of Mathematics and Music. 9: 1-22 |
| Bozkurt B, Karaosmanoğlu MK, Karaçalı B, et al. (2014) Usul and Makam driven automatic melodic segmentation for Turkish music Journal of New Music Research. 43: 375-389 |
| Onder D, Sarioglu S, Karacali B. (2013) Automated labelling of cancer textures in colorectal histopathology slides using quasi-supervised learning. Micron (Oxford, England : 1993). 47: 33-42 |
| Karaçalı B. (2010) Quasi-supervised learning for biomedical data analysis Pattern Recognition. 43: 3674-3682 |
| Karaçali B. (2007) Information Theoretic Deformable Registration Using Local Image Information International Journal of Computer Vision. 72: 219-237 |
| Xue Z, Shen D, Karacali B, et al. (2006) Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. Neuroimage. 33: 855-66 |
| Karaçali B, Davatzikos C. (2006) Simulation of tissue atrophy using a topology preserving transformation model. Ieee Transactions On Medical Imaging. 25: 649-52 |
| Karaçali B, Davatzikos C. (2004) Estimating topology preserving and smooth displacement fields. Ieee Transactions On Medical Imaging. 23: 868-80 |
| Lao Z, Shen D, Xue Z, et al. (2004) Morphological classification of brains via high-dimensional shape transformations and machine learning methods. Neuroimage. 21: 46-57 |