A study of hippocampal shape difference between genders by efficient hypothesis test and discriminative deformation. Export

@article{citeulike:3885811, abstract = {Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between genders. These methods are preferred to traditional hypothesis tests which impose assumptions on the distribution of the samples. An efficient algorithm is adopted to rapidly perform the exact tests. We extend this algorithm to multivariate data by projecting the original data onto an "informative direction" to generate a scalar test statistic. This "informative direction" is found to preserve the original discriminative information. This direction is further used in this paper to isolate the discriminative shape difference between classes from the individual variability, achieving a visualization of shape discrepancy.}, author = {Zhou, L. and Hartley, R. and Lieby, P. and Barnes, N. and Anstey, K. and Cherbuin, N. and Sachdev, P.}, citeulike-article-id = {3885811}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/18051081}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=18051081}, journal = {Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention}, keywords = {anatomy, bootstrap, classification, resampling}, number = {Pt 1}, pages = {375--383}, posted-at = {2009-01-14 16:52:17}, priority = {2}, title = {A study of hippocampal shape difference between genders by efficient hypothesis test and discriminative deformation.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/18051081}, volume = {10}, year = {2007} }

TY - JOUR ID - citeulike:3885811 L3 - citeulike-article-id:3885811 N2 - Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between genders. These methods are preferred to traditional hypothesis tests which impose assumptions on the distribution of the samples. An efficient algorithm is adopted to rapidly perform the exact tests. We extend this algorithm to multivariate data by projecting the original data onto an "informative direction" to generate a scalar test statistic. This "informative direction" is found to preserve the original discriminative information. This direction is further used in this paper to isolate the discriminative shape difference between classes from the individual variability, achieving a visualization of shape discrepancy. IS - Pt 1 JF - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention EP - 383 TI - A study of hippocampal shape difference between genders by efficient hypothesis test and discriminative deformation. VL - 10 SP - 375 KW - anatomy KW - bootstrap KW - classification KW - resampling AU - Zhou, L AU - Hartley, R AU - Lieby, P AU - Barnes, N AU - Anstey, K AU - Cherbuin, N AU - Sachdev, P PY - 2007/// UR - http://view.ncbi.nlm.nih.gov/pubmed/18051081 ER -