Computer-aided neuroanatomy of macaque visual cortex
Computational neuroscience
Multiresolution analysis of arbitrary meshes
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Parametrization and smooth approximation of surface triangulations
Computer Aided Geometric Design
Non-distorted texture mapping for sheared triangulated meshes
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Robot Vision
Journal of Cognitive Neuroscience
Dynamic Adaptation of Cooperative Agents for MRI Brain Scans Segmentation
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
GeMBASE: a geometric mediator for brain analysis with surface ensembles
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Journal of Cognitive Neuroscience
Journal of Cognitive Neuroscience
3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding
International Journal of Computer Vision
A physically-based method for unfolding the stomach from 3D CT images
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
Neural correlates of motion-induced blindness in the human brain
Journal of Cognitive Neuroscience
Texture mapping via spherical multi-dimensional scaling
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Visual short-term memory load reduces retinotopic cortex response to contrast
Journal of Cognitive Neuroscience
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Much of the human cortical surface is obscured from view by the complex pattern of folds, making the spatial relationship between different surface locations hard to interpret. Methods for viewing large portions of the brain's surface in a single flattened representation are described. The flattened representation preserves several key spatial relationships between regions on the cortical surface. The principles used in the implementations and evaluations of these implementations using artificial test surfaces are provided. Results of applying the methods to structural magnetic resonance measurements of the human brain are also shown. The implementation details are available in the source code, which is freely available on the Internet.