Integrated active contours for texture segmentation von Chen Sagiv, Sochen, N.A., Zeevi, Y.Y.

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A Maximum Principle for Beltrami Color Flow von Dascal, Lorina, Sochen, Nir A.

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Complex diffusion processes for image filtering von GILBOA, Guy, ZEEVI, Yehoshua Y, SOCHEN, Nir A

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Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension von Shafrir, David, Sochen, Nir A., Deriche, Rachid

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Estimation of the optimal variational parameter via SNR analysis von GILBOA, Guy, SOCHEN, Nir A, ZEEVI, Yehoshua Y

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StereographicCombing a Porcupine or Studies on Direction Diffusion in Image Processing von Sagiv, Chen, Sochen, Nir A., Kimmel, Ron

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Stereographic Combing a Porcupine or Studies on Direction Diffusion in Image Processing von Nir A. Sochen, Chen Sagiv, Ron Kimmel

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Combing a porcupine via stereographic direction diffusion von SOCHEN, Nir A, KIMMEL, Ron

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Scale-Space Generation via Uncertainty Principles von Sagiv, Chen, Sochen, Nir A., Zeevi, Yehoshua Y.

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Geodesic Active Contours Applied to Texture Feature Space von Sagiv, Chen, Sochen, Nir A., Zeevi, Yehoshua Y.

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Scale Space and PDE Methods in Computer Vision: 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005, Proceedings von Kimmel, Ron, Sochen, Nir, Weickert, Joachim

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Geometry Motivated Variational Segmentation for Color Images von Brook, Alexander, Kimmel, Ron, Sochen, Nir A.

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Gabor Feature Space Diffusion via the Minimal Weighted Area Method von Sagiv, Chen, Sochen, Nir A., Zeevi, Yehoshua Y.

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On the Discrete Maximum Principle for the Beltrami Color Flow von Dascal, Lorina, Ditkowski, Adi, Sochen, Nir A.

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Two-dimensional affine frames for image analysis and synthesis von Sagiv, Chen, Sochen, Nir A., Zeevi, Yehoshua Y.

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Regularized Shock Filters and Complex Diffusion von Gilboa, Guy, Sochen, Nir A., Zeevi, Yehoshua Y.

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The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties von Sagiv, Chen, Sochen, Nir A., Zeevi, Yehoshua Y.

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EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI von Li, Chenjun, Yang, Dian, Yao, Shun, Wang, Shuyue, Wu, Ye, Zhang, Le, Li, Qiannuo, Cho, Kang Ik Kevin, Seitz-Holland, Johanna, Ning, Lipeng, Legarreta, Jon Haitz, Rathi, Yogesh, Westin, Carl-Fredrik, O'Donnell, Lauren J, Sochen, Nir A, Pasternak, Ofer, Zhang, Fan

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EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI von Li, Chenjun, Yang, Dian, Yao, Shun, Wang, Shuyue, Wu, Ye, Zhang, Le, Li, Qiannuo, Kang Ik Kevin Cho, Seitz-Holland, Johanna, Ning, Lipeng, Jon Haitz Legarreta, Rathi, Yogesh, Westin, Carl-Fredrik, O'Donnell, Lauren J, Sochen, Nir A, Pasternak, Ofer, Zhang, Fan

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PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors von Welk, Martin, Theis, David, Brox, Thomas, Weickert, Joachim

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