Gawish, A. ., Haines, L. ., Marschall, S. ., Wong, A. ., Sorbara, L. ., Bizheva, K. ., & Fieguth, P. . (2016). Improved OCT Human Corneal segmentation Using Bayesian Residual Transform. Journal of Computational Vision and Imaging Systems, 2.
Publications
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Shafiee, M. J., Wong, A. ., & Fieguth, P. . (2016). Deep randomly-connected conditional random fields for image segmentation. IEEE Access, 5, 366-378.
Gawish, A. ., Scharfenberger, C. ., Bi, H. ., Wong, A. ., Fieguth, P. ., & Clausi, D. . (2016). Robust Non-saliency guided watermarking. 2016 13th Conference on Computer and Robot Vision (CRV), 32-36. IEEE.
Liu, L. ., Lao, S. ., Fieguth, P. W., Guo, Y. ., Wang, X. ., & Pietikäinen, M. . (2016). Median robust extended local binary pattern for texture classification. IEEE Transactions on Image Processing, 25, 1368-1381.
Shafiee, M. J., Siva, P. ., Fieguth, P. ., & Wong, A. . (2016). Efficient deep feature learning and extraction via StochasticNets. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 28-36.
Kasiri, K. ., Fieguth, P. ., & Clausi, D. A. (2016). Self-similarity measure for multi-modal image registration. 2016 IEEE International Conference on Image Processing (ICIP), 4498-4502. IEEE.
Kasiri, K. . (2016). Multi-Atlas Segmentation of Multi-Modal Brain Images.
Shafiee, M. J., Siva, P. ., Fieguth, P. ., & Wong, A. . (2015). Domain Adaptation and Transfer Learning in StochasticNets. ArXiv Preprint arXiv:1512.05844.
Barshan, E. ., Fieguth, P. ., & Wong, A. . (2015). Scalable multi-neighborhood learning for convolutional networks. 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 1-6. IEEE.
Shafiee, M. J., Chung, A. G., Wong, A. ., & Fieguth, P. . (2015). Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. 2015 IEEE International Conference on Image Processing (ICIP), 3260-3264. IEEE.