This paper presents a robust and fully automated registration algorithm for alignment of embryonic images taken by Optical Quadrature Microscopy (OQM) and Differential Interferenc...
Chia-Ling Tsai, Su-Ching Liang, William Warger, Ch...
We propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Imaging (DTI) data. Our registration method considers estimated diffusion tensors as norm...
M. Okan Irfanoglu, Cheng Guan Koay, Sinisa Pajev...
Abstract. In this paper, we present a deformable-model based solution for segmenting objects with complex texture patterns of all scales. The external image forces in traditional d...
Xiaolei Huang, Zhen Qian, Rui Huang, Dimitris N. M...
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...