1. •T. Tasdizen, M. Seyedhosseini, T. Liu, C. Jones, and L. Jurrus. Image Segmentation for Connectomics using Machine Learning. In Kenji Suzuki, editor, Computational Intelligence in Biomedical Imaging, Springer, 2014. [link]

  1. •M. Seyedhosseini, M. Sajjadi, and T. Tasdizen. Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks. In ICCV 2013 (accepted). [pdf,bibtex,CHM code,LDNN code]

  2. •M. Seyedhosseini, M. Ellisman, and T. Tasdizen. Segmentation of mitochondria in electron microscopy images using algebraic curves. In IEEE Proceedings of ISBI 2013, pages 860–863, 2013. [pdf,bibtex]

  3. •T. Liu, M. Seyedhosseini, M. Ellisman, and T. Tasdizen. Watershed merge forest classification for electron microscopy image stack segmentation. In IEEE Proceedings of ICIP 2013, page (accepted), 2013. [pdf,bibtex]

  4. •C. Jones, M. Seyedhosseini, M. Ellisman, and T. Tasdizen. Neuron segmentation in electron microscopy images using partial differential equations. In IEEE Proceedings of ISBI 2013, pages 1457–1460, 2013. [pdf,bibtex]

  5. •T. Liu, E. Jurrus, M. Seyedhosseini, M. Ellisman, and T. Tasdizen. Watershed merge tree classification for electron microscopy image segmentation. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR), pages 133–137, 2012. [pdf,bibtex]

  6. •M. Seyedhosseini, R. Kumar, E. Jurrus, R. Guily, M. Ellisman, H. Pfister, and T. Tasdizen. Detection of neuron membranes in electron microscopy images using multi-scale context and radon-like features. In Medical Image Computing and Computer-Assisted Intervention MICCAI 2011, volume 6891 of Lecture Notes in Computer Science (LNCS), pages 670–677, 2011. [pdf,bibtex,code]

  7. •M. Seyedhosseini, A.R.C. Paiva, and T. Tasdizen. Fast AdaBoost training using weighted novelty selection. In Proc. IEEE Intl. Joint Conf. on Neural Networks, pages 1245–1250, 2011. [pdf,bibtex]

  8. •M. Seyedhosseini, A.R.C. Paiva, and T. Tasdizen. Image parsing with a three-state series neural network classifier. In Proc. IEEE Intl. Conference on Pattern Recognition, pages 4508–4511, 2010. [pdf,bibtex]

  1. •M. Seyedhosseini, and T. Tasdizen. Disjunctive Normal Random Forests. In Pattern Recognition, 2014. [Link]

  2. •T. Liu, C. Jones, M. Seyedhosseini, and T. Tasdizen. A Modular Hierarchical Approach to 3D Electron Microscopy Image Segmentation. In Journal of Neuroscience Methods, 2014. [Link]

  3. •M. Seyedhosseini and T. Tasdizen. Multi-class multi-scale series contextual model for image segmentation. In IEEE Transactions on Image Processing, Vol 22, No 11, pages 4486–4496, 2013. [pdf,bibtex,code]

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