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» Active Volume Models for Medical Image Segmentation
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MICCAI
2008
Springer
16 years 4 months ago
Discovering Modes of an Image Population through Mixture Modeling
Abstract. We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The out...
Mert R. Sabuncu, Serdar K. Balci, Polina Golland
115
Voted
IPMI
2007
Springer
16 years 4 months ago
Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis
Abstract. A new method is introduced for estimating single-trial magnetoor electro-encephalography (M/EEG), based on a non-linear fit of timefrequency atoms. The method can be appl...
Christian Bénar, Maureen Clerc, Théo...
138
Voted
TMI
2008
109views more  TMI 2008»
15 years 3 months ago
Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification
Abstract-- We present a new method for automatic segmentation of heterogeneous image data that takes a step toward bridging the gap between bottom-up affinity-based segmentation me...
Jason J. Corso, Eitan Sharon, S. Dube, Suzie El-Sa...
173
Voted
VIS
2004
IEEE
169views Visualization» more  VIS 2004»
16 years 4 months ago
Rendering Implicit Flow Volumes
Traditional flow volumes construct an explicit geometrical or parametrical representation from the vector field. The geometry is updated interactively and then rendered using an u...
Daqing Xue, Caixia Zhang, Roger Crawfis
136
Voted
IJRR
2008
101views more  IJRR 2008»
15 years 3 months ago
Motion Planning Under Uncertainty for Image-guided Medical Needle Steering
We develop a new motion planning algorithm for a variant of a Dubins car with binary left/right steering and apply it to steerable needles, a new class of flexible beveltip medica...
Ron Alterovitz, Michael S. Branicky, Kenneth Y. Go...