Volume 17 (2023)
Volume 16 (2022)
Volume 15 (2021)
Volume 14 (2020)
Volume 13 (2019)
Volume 12 (2018)
Volume 11 (2017)
Volume 10 (2016)
Volume 9 (2015)
Volume 8 (2014)
Volume 7 (2013)
Volume 6 (2012)
Volume 5 (2011)
Volume 4 (2010)
Volume 3 (2009)
Volume 2 (2008)
Volume 1 (2007)
Volume -2 (2005)
Volume -1 (2004)
Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Investigation of Non-Linear Functional Connectivity in Alzheimer’s Disease utilizing Resting State fMRI Data and Graph Theory

Hessam Ahmadi; Emad Fatemizadeh; Alimotie Nasrabadi

Volume 14, Issue 3 , October 2020, , Pages 235-249

  Functional Magnetic Resonance Imaging (fMRI) is a non-invasive neuroimaging technique for analyzing the brain functions through low-frequency fluctuations called the Blood-Oxygen-Level-Dependent (BOLD) signals. Measurement of the functional connectivity in brain networks is usually done by the fMRI time-series ...  Read More

Biomedical Image Processing / Medical Image Processing
Interpolation of Orientation Distribution Functions (ODFs) in High Angular Resolution Diffusion Imaging

Maryam Afzali; Emadoddin Fatemizadeh; Hamid Soltanian Zadeh

Volume 7, Issue 1 , June 2013, , Pages 57-64

  Diffusion tensor magnetic resonance imaging (DTMRI) is a non-invasive method for investigating the brain white matter structure. It can be used to evaluate fiber bundles in the brain but in the regions with crossing fibers, it fails. To resolve this problem, high angular resolution diffusion imaging ...  Read More

Biomedical Image Processing / Medical Image Processing
Activation Detection in fMRI Images using Nonlinear Models: Wiener-Hammerstein and NARMA

Ali Taalimi; Emadoddin Fatemizadeh

Volume 4, Issue 3 , June 2010, , Pages 231-248

  Functional magnetic resonance imaging (fMRI) is widely used for investigation of brain neural activity. This imaging technique obtains signals and images from human brain’s response to prescheduled tasks. Several studies on blood oxygenation level-dependent (BOLD) signal responses demonstrate nonlinear ...  Read More

Biomedical Image Processing / Medical Image Processing
Alzheimer's Disease Diagnosis Using Nonlinear Weighted T1-Mri Classification

Meysam Torabi; Emadoddin Fatemizadeh

Volume 3, Issue 3 , June 2009, , Pages 213-225

  In this paper, an MRI-based diagnosing approach has been proposed which simultaneously analyzes T1-MR and T2-MR images. The dataset contains 120 cross-sectional images of abnormal and also normal brains as control group. Due to inherent proprieties of T1 and T2 images and their principal differences, ...  Read More

Biological Computer Modeling / Biological Computer Simulation
A Robust to Leakage Method for Airway Tree Segmentation Based on Shape Feature Optimization

Fereshte Yousefi Rizi; Alireza Ahmadian; Javad Alirezaie; Emadoddin Fatemizadeh; Nader Rezaei

Volume 2, Issue 3 , June 2008, , Pages 165-177

  Partial volume effect and image noise greatly decrease the visibility of the airway wall. Another dilemma with airway segmentation methods, which significantly influences their accuracy, is the leakage into the extra-luminal regions due to thinness of the airway wall during the process of segmentation. ...  Read More

Biomedical Image Processing / Medical Image Processing
A Selective Three Dimensional Magnetic Resonance Images Compression Method Using Adaptive Mesh Design and Region-Based Wavelet Transform

Emadoddin Fatemizadeh; Parisa Shooshtari

Volume 2, Issue 3 , June 2008, , Pages 191-201

  Nowadays due to the huge capacity and bandwidth essentials for medical images, communications and storage purposes, medical images compression is one of most important concepts in this area. Error free compression techniques have the weakness of low compression ratio. On the other hand, lossy techniques ...  Read More