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» A Framework for the Visualization of Brain Structures
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ISBI
2009
IEEE
14 years 3 months ago
Cell Tracking and Segmentation in Electron Microscopy Images Using Graph Cuts
Understanding neural connectivity and structures in the brain requires detailed 3D anatomical models, and such an understanding is essential to the study of the nervous system. Ho...
Huei-Fang Yang, Yoonsuck Choe
ETVC
2008
13 years 10 months ago
Statistical Computing on Manifolds: From Riemannian Geometry to Computational Anatomy
Computational anatomy is an emerging discipline that aims at analyzing and modeling the individual anatomy of organs and their biological variability across a population. The goal ...
Xavier Pennec
3DPVT
2006
IEEE
139views Visualization» more  3DPVT 2006»
14 years 2 months ago
A Probabilistic Notion of Correspondence and the Epipolar Constraint
We present a probabilistic framework for correspondence and egomotion. First, we suggest computing probability distributions of correspondence. This has the advantage of being rob...
Justin Domke, Yiannis Aloimonos
IV
2005
IEEE
99views Visualization» more  IV 2005»
14 years 2 months ago
Heterogeneous Objects Modelling and Rendering Using Implicit Complexes
This paper describes a technology for modelling and rendering heterogeneous objects containing entities of various dimensionalities within a cellular-functional framework based on...
Elena Kartasheva, Valery Adzhiev, Peter Comninos, ...
UAI
1996
13 years 9 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon