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VLSISP
1998
111views more  VLSISP 1998»
15 years 5 months ago
Quantitative Analysis of MR Brain Image Sequences by Adaptive Self-Organizing Finite Mixtures
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
Yue Wang, Tülay Adali, Chi-Ming Lau, Sun-Yuan...
MICCAI
2010
Springer
15 years 4 months ago
Brain Morphometry by Probabilistic Latent Semantic Analysis
The paper proposes a new shape morphometry approach to combine advanced classification techniques with geometric features in order to identify morphological abnormalities on brain...
Umberto Castellani, Alessandro Perina, Vittorio Mu...
BIBM
2009
IEEE
190views Bioinformatics» more  BIBM 2009»
15 years 4 months ago
A Fast, Semi-automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging
Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully au...
Kevin Karsch, Qing He, Ye Duan
COMPIMAGE
2010
Springer
16 years 29 days ago
Surface-Based Imaging Methods for High-Resolution Functional Magnetic Resonance Imaging
Functional magnetic resonance imaging (fMRI) has become an exceedingly popular technique for studies of human brain activity. Typically, fMRI is performed with >3-mm sampling, s...
David Ress, Sankari Dhandapani, Sucharit Katyal, C...
ABIALS
2008
Springer
16 years 14 days ago
The Cognitive Body: From Dynamic Modulation to Anticipation
Abstract— Starting from the situated and embodied perspective on the study of biological cognition as a source of inspiration, this paper programmatically outlines a path towards...
Alberto Montebelli, Robert Lowe, Tom Ziemke