S. Kurugol, “Machine Learning and Model Based 3D Segmentation Algorithms forChallenging Medical Imaging Problems”, Northeastern University, 2011.
Publications
M
S. Kurugol, “Machine Learning and Model Based 3D Segmentation Algorithms for Challenging Medical Imaging Problems”, Northeastern University, 2011.
S. Kurugol and D. Adviser-Brooks, “Machine learning and model based 3d segmentation algorithms for challenging medical imaging problems”, 2011.
L
S. Kurugol, M. Freiman, O. Afacan, S. Clancy, and S. Warfield, “Longitudinal Reproducibility of Quantitative Diffusion Weighted MRI Improved by Spatially Constrained Probability Distribution Model of Incoherent Motion (SPIM)”, in Proc. Intl. Soc. Mag. Reson. Med, 2015.
S. Kurugol, M. Freiman, O. Afacan, S. Clancy, and S. Warfield, “Longitudinal Reproducibility of Quantitative Diffusion Weighted MRI Improved by Spatially Constrained Probability Distribution Model of Incoherent Motion (SPIM)”, Proc. Intl. Soc. Mag. Reson. Med, vol. 23. 2015.
S. Kurugol, N. Ozay, J. Dy, G. Sharp, and D. Brooks, “Locally deformable shape model to improve 3D level set based esophagus segmentation”, in 2010 20th International Conference on Pattern Recognition, IEEE, 2010, pp. 3955–3958.
S. Kurugol, N. Ozay, J. Dy, G. Sharp, and D. Brooks, “Locally deformable shape model to improve 3d level set based esophagus segmentation”, Pattern Recognition (ICPR), 2010 20th International Conference on. IEEE, pp. 3955–3958, 2010.
S. Kurugol, J. Dy, M. Rajadhyaksha, and D. Brooks, “Localizing the dermis/epidermis boundary in reflectance confocal microscopy images with a hybrid classification algorithm”, in 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, IEEE, 2009, pp. 1322–1325.
S. Kurugol, J. Dy, M. Rajadhyaksha, and D. Brooks, “Localizing the dermis/epidermis boundary in reflectance confocal microscopy images with a hybrid classification algorithm”, Biomedical Imaging: From Nano to Macro, 2009. ISBI’09. IEEE International Symposium on. IEEE, pp. 1322–1325, 2009.
J. Coll-Font, O. Afacan, J. Chow, and S. Kurugol, “Linear Time Invariant Model Based Motion Correction (LiMo-MoCo) of Dynamic Radial Contrast Enhanced MRI”, in International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2019, pp. 430–437.