Amanote Research

Amanote Research

    RegisterSign In

An Entropy Based Method for Activation Detection of Functional MRI Data Using Independent Component Analysis

doi 10.1109/icassp.2010.5494915
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2010

Authors
Mahsa AkhbariMassoud Babaie-ZadehEmad FatemizadehChristian Jutten
Publisher

IEEE


Related search

A Conditional Entropy-Based Independent Component Analysis for Applications in Human Detection and Tracking

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2010English

Fuzzy Cluster Method Based on RV Measure for Functional MRI Data Analysis

2013English

A Method of Multi-User Detection Based on Independent Component Analysis for DS-CDMA Systems

2007English

Video Shot Boundary Detection Using Independent Component Analysis

English

Level Set Based Clustering for Analysis of Functional Mri Data

2007English

Detection of Brain Tumor in EEG Signals Using Independent Component Analysis

International Journal of Applied Mathematics, Electronics and Computers
2015English

Independent Component Analysis for EEG Data Preprocessing - Algorithms Comparison

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Scene Analysis and Detection in Thermal Infrared Remote Sensing Using Independent Component Analysis

2004English

Principal Component Analysis of Breast DCE-MRI Adjusted With a Model-Based Method

Journal of Magnetic Resonance Imaging
Nuclear MedicineRadiologyImaging
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy