Yayınlar

Uluslararası hakemli dergilerde yayımlanan makaleler

  • Karaçalı, B., “Hierarchical motif vectors for prediction of functional sites in amino acid sequences using quasi-supervised learning,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, yayın aşamasında
  • Karaçalı, B., “Quasi-supervised learning for biomedical data analysis,” Pattern Recognition, 43(10), 3674-3682 (2010).
  • Gormley, M., Dampier, W., Ertel, A., Karaçalı, B., Tözeren, A., “Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets,” BMC Bioinformatics, 8(415) (2007).
  • Karaçalı, B., Vamvakidou, A.P., Tözeren, A., “Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers,” BMC Medical Imaging, 7(7) (2007).
  • Karaçalı, B., Tözeren, A., “Automated detection of regions of interest for tissue microarray experiments: an image texture analysis,” BMC Medical Imaging, 7(2) (2007).
  • Karaçalı, B., “Information theoretic deformable registration using local image information,” International Journal of Computer Vision, (72)3, 219-237 (2007).
    Xue, Z., Shen, D., Karaçalı, B., Stern, J., Rottenberg D., Davatzikos, C., “Simulating
  • Deformations of MR Brain Images for Validation of Atlas-based Segmentation and Registration Algorithms”, NeuroImage, 33, 855-866 (2006).
  • Karaçalı, B., Davatzikos, C., “Simulation of tissue atrophy using a topology preserving transformation model,” IEEE Transactions on Medical Imaging, 25(5), 649-652 (2006).
  • Karaçalı, B., Davatzikos, C., “Estimating topology preserving and smooth displacement fields,” IEEE Transactions on Medical Imaging, 23(7), 868-880 (2004).
  • Karaçalı, B., Snyder, W., “Noise reduction in surface reconstruction from a given gradient field,” International Journal of Computer Vision, 60(1), 25-44 (2004).
  • Lao, Z., Shen, D., Karaçalı, B., Resnick, S. M., Davatzikos, C., “Morphological classification of brains via high dimensional shape transformations and machine learning methods,” NeuroImage, 21(1), 46-57 (2003).
  • Karaçalı, B., Ramanath, R., Snyder, W., “A comparative analysis of structural risk minimization by support vector machines and nearest neighbor rule,” Pattern Recognition Letters, 25(1), 63-71 (2004).
  • Karaçalı, B., Snyder, W., “Reconstructing discontinuous surfaces from a given gradient field using partial integrability,” Computer Vision and Image Understanding, 92(1), 78-111 (2003).
  • Karaçalı, B., Krim, H., “Fast minimization of structural risk by nearest neighbor method,” IEEE Trans. on Neural Networks, 14(1), 127-137 (2003).

Ulusal bilimsel toplantılarda sunulan ve bildiri kitaplarında basılan bildiriler

  • Karaçalı, B., “Yönelimli Eşlenik Noktalar ile Deformasyon Alanı Ara-Değerlemesi,” 15. Ulusal Biyomühendislik Toplantısı, BİYOMUT 2010.
  • Önder, D., Karaçalı, B., “Histoloji Görüntülerinde Kanserli Desenlerin Yarı Güdümlü Öğrenme Yöntemiyle Tam Otomatik Sınıflandırılması,” 15. Ulusal Biyomühendislik Toplantısı, BİYOMUT 2010.
  • Doğan, T., Karaçalı, B., “Doğrusal Olmayan Gömme Teknikleri Altında Gen Dizilerinin Evrimsel İlişkileri,” 15. Ulusal Biyomühendislik Toplantısı, BİYOMUT 2010.
  • Önder, D., Karaçalı, B., “Gri seviye birliktelik matrisi öznitelikleri ve manifold öğrenme yardımıyla histoloji görüntülerinde otomatik doku sınıflandırılması,” 14. Ulusal Biyomühendislik Toplantısı, BİYOMUT 2009.