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MICCAI
2006
Springer
15 years 10 months ago
A Nonparametric Bayesian Approach to Detecting Spatial Activation Patterns in fMRI Data
Traditional techniques for statistical fMRI analysis are often based on thresholding of individual voxel values or averaging voxel values over a region of interest. In this paper w...
Hal S. Stern, Padhraic Smyth, Seyoung Kim
89
Voted
ICCV
2001
IEEE
15 years 11 months ago
Flux Maximizing Geometric Flows
Several geometric active contour models have been proposed for segmentation in computer vision. The essential idea is to evolve a curve (in 2D) or a surface (in 3D) under constrai...
Alexander Vasilevskiy, Kaleem Siddiqi
MICCAI
2007
Springer
15 years 10 months ago
Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
Polina Golland, Yulia Golland, Rafael Malach
KDD
2002
ACM
148views Data Mining» more  KDD 2002»
15 years 10 months ago
Tumor cell identification using features rules
Advances in imaging techniques have led to large repositories of images. There is an increasing demand for automated systems that can analyze complex medical images and extract me...
Bin Fang, Wynne Hsu, Mong-Li Lee
VISUALIZATION
1997
IEEE
15 years 1 months ago
Volume rendering of abdominal aortic aneurysms
Volume rendering is a valuable and important technique for scientific visualization. One well known application area is the reconstruction and visualization of output from medica...
Roger C. Tam, Christopher G. Healey, Borys Flak, P...