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» The Factorization Method for Electrical Impedance Tomography...
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IJCNN
2000
IEEE
13 years 9 months ago
Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
Jani Lahtinen, Tomas Martinsen, Jouko Lampinen
TMI
2010
181views more  TMI 2010»
13 years 3 months ago
In Vivo Impedance Imaging With Total Variation Regularization
—We show that electrical impedance tomography (EIT) image reconstruction algorithms with regularization based on the Total Variation (TV) functional are suitable for in vivo imag...
Andrea Borsic, Brad M. Graham, Andy Adler, William...
CORR
2010
Springer
197views Education» more  CORR 2010»
13 years 5 months ago
Modelling of Human Glottis in VLSI for Low Power Architectures
The Glottal Source is an important component of voice as it can be considered as the excitation signal to the voice apparatus. Nowadays, new techniques of speech processing such a...
Nikhil Raj, R. K. Sharma
PRL
2000
182views more  PRL 2000»
13 years 4 months ago
Bayesian MLP neural networks for image analysis
We demonstrate the advantages of using Bayesian multi layer perceptron (MLP) neural networks for image analysis. The Bayesian approach provides consistent way to do inference by c...
Aki Vehtari, Jouko Lampinen
TMI
2008
101views more  TMI 2008»
13 years 4 months ago
Robust Linearized Image Reconstruction for Multifrequency EIT of the Breast
Abstract--Electrical impedance tomography (EIT) is a developing imaging modality that is beginning to show promise for detecting and characterizing tumors in the breast. At Renssel...
Gregory Boverman, Tzu-Jen Kao, Rujuta Kulkarni, Bo...