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 Image Processing / Medical Image Processing
Detecting Dependency Structure of the Brain Motor Network in Resting State fMRI data of Parkinson Disease using Copulas

Mahdie Ghasemi; Ali Mahloojifar; Mehdi Omidi

Volume 8, Issue 3 , September 2014, , Pages 261-275

  Functional changes in the brain motor network are responsible for the major clinical features of Parkinson’s disease (PD). Recent studies on investigation of the brain function show that there are spontaneous fluctuations between regions at rest as resting state network affected in various disorders. ...  Read More

Biomedical Image Processing / Medical Image Processing
Synthetic Aperture Ultrasound Imaging Using Frequency-Domain Reconstruction to Reduce Computational Complexity

Elahe Moghimirad; Ali Mahloojifar; Babak Mohammadzadeh Asl

Volume 8, Issue 3 , September 2014, , Pages 277-291

  A new implementation of a synthetic aperture focusing technique is presented in the paper. Standard medical ultrasound imaging is done using line-by-line transmission with classical Delay-and-Sum (DAS) image reconstruction. Synthetic aperture imaging, however, has a better resolution and frame rate in ...  Read More

Rehabilitation Engineering
Applying Probabilistic Classification Vector Machines in Self-paced BCI to Enhance Foot Movement Detection

Rahele Mohammadi; Ali Mahloojifar

Volume 7, Issue 1 , June 2013, , Pages 39-55

  A critical issue in designing a self-paced brain computer interface (BCI) system is onset detection of the mental task from the continuous electroencephalogram (EEG) signal to produce a brain switch. This work shows significant improvement in a movement based self-paced BCI by applying a new sparse learning ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
ECG Coding for Compression Enhancement in Telemedicine

Mohsen Mohammadvali’ee; Ali Mahloojifar

Volume 7, Issue 3 , June 2013, , Pages 265-276

  One of the most important goals for increasing the recognition and treatment revenue is transmitting the vital data to medical care team, more quickly. Nowadays, use of new technologies for transmission of data is extending every day. In this research, for transmitting electrocardiogram, first we code ...  Read More

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing
Foot movement onset detection in self-paced BCIs using sparse representation based classifier

Rahele Mohammadi; Ali Mahloojifar

Volume 6, Issue 2 , June 2012, , Pages 141-152

  Self-paced BCI systems are more natural for real-life applications since these systems allow the user to control the system when desired. Detection of event periods in continuous EEG signal is one of the most important challenges in designing self-paced BCIs. In this paper, the Event related synchronization ...  Read More

Biomedical Image Processing / Medical Image Processing
An Efficient Adaptive Beamforming Method For Simultaneous Improvement Of The Resolution And Contrast Of Ultrasound Imaging

Babak Mohammadzadeh Asl; Ali Mahloojifar

Volume 3, Issue 1 , June 2009, , Pages 33-46

  In recent years, adaptive beam forming methods have been successfully applied to medical ultrasound imaging, resulting in significant improvement in image quality compared to non-adaptive beam formers. This improvement results from the fact that their weights are chosen based on the priori knowledge ...  Read More

Optimal Design Of Beam Pattern Of Ultrasound Arrays Considering Sensitivity Of Transducer

Seyed Mahmoud Sakhaei; Ali Mahloojifar

Volume -2, Issue 1 , July 2005, , Pages 47-56

  The beam pattern profile of an ultrasound array is of great importance in ultrasound imaging. This profile could be enhanced by weighting the elements of array. However, this technique will decreases the signal to noise ratio (S/N) and consequently the quality of the obtained image. In this study, the ...  Read More