Sciweavers

ISBI
2008
IEEE
14 years 6 months ago
Unsupervised segmentation of cell nuclei using geometric models
Fluorescent microscopy of biological samples allows noninvasive screening of specific molecular events in-situ. This approach is useful for investigating intricate signalling path...
Shaun Fitch, Trevor Jackson, Peter Andras, Craig R...
ISBI
2008
IEEE
14 years 6 months ago
Examining associations between FMRI and EEG data using canonical correlation analysis
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine asso...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
ISBI
2008
IEEE
14 years 6 months ago
Directional functions for orientation distribution estimation
Yogesh Rathi, Oleg V. Michailovich, Sylvain Bouix,...
ISBI
2008
IEEE
14 years 6 months ago
Fully automatic 3D reconstruction of histological images
In this paper, we propose a computational framework for 3D volume reconstruction from 2D histological slices using registration algorithms in feature space. To improve the quality ...
Ulas Bagci, Li Bai
ISBI
2008
IEEE
14 years 6 months ago
An optimal-path approach for neural circuit reconstruction
Neurobiologists are collecting large amounts of electron microscopy image data to gain a better understanding of neuron organization in the central nervous system. Image analysis ...
Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones...
ISBI
2008
IEEE
14 years 6 months ago
Morphological-based adaptive segmentation and quantification of cell assays in high content screening
In fluorescence-labelled cell assays for high content screening applications, image processing software is necessary to have automatic algorithms for segmenting the cells individ...
Jesús Angulo, Béatrice Schaack
ISBI
2008
IEEE
14 years 6 months ago
A texture-based methodology for identifying tissue type in magnetic resonance images
Michael Barnathan, Jingjing Zhang, Erickson Mirand...
ISBI
2008
IEEE
14 years 6 months ago
Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology
Automated detection and segmentation of nuclear and glandular structures is critical for classification and grading of prostate and breast cancer histopathology. In this paper, w...
Shivang Naik, Scott Doyle, Shannon Agner, Anant Ma...
ISBI
2008
IEEE
14 years 6 months ago
Comparative assessment of different energy mapping methods for generation of 511-keV attenuation map from CT images in PET/CT sy
The use of X-ray CT images for CT-based attenuation correction (CTAC) of PET data results in the decrease of overall scanning time and creates a noise-free attenuation map (μmap)...
Maryam Shirmohammad, Mohammad Reza Ay, Saeed Sarka...