Kamran Kazemi

发表

An improved feature selection algorithm based on graph clustering and ant colony optimization

Hojat Ghimatgar, Kamran Kazemi, Mohammad Sadegh Helfroush, 2018, Knowl. Based Syst..

Realistic Head Model Design and 3D Brain Imaging of NIRS Signals Using Audio Stimuli on Preterm Neonates for Intra-Ventricular Hemorrhage Diagnosis

Marc Fournier, Reinhard Grebe, Fabrice Wallois, 2012, MICCAI.

Salient object detection via global contrast graph

Habibollah Danyali, Kamran Kazemi, Fatemeh Nouri, 2015, 2015 Signal Processing and Intelligent Systems Conference (SPIS).

A robust gene clustering algorithm based on clonal selection in multiobjective optimization framework

Mohammad Sadegh Helfroush, Kamran Kazemi, Akbar Rahideh, 2018, Expert Syst. Appl..

A novel method for classification of power quality disturbances based on a new one dimensional local binary pattern approach

Habibollah Danyali, Kamran Kazemi, Ashkan Tashk, 2017, 2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC).

Image segmentation using multilevel thresholding based on modified bird mating optimization

Taher Niknam, Mohammad Sadegh Helfroush, Kamran Kazemi, 2019, Multimedia Tools and Applications.

Region-based Active Contour Model based on Markov Random Field to Segment Images with Intensity Non-Uniformity and Noise

Mohammad Sadegh Helfroush, Kamran Kazemi, Zahra Shahvaran, 2012, Journal of medical signals and sensors.

Detection of EEG transients in neonates and older children using a system based on dynamic time-warping template matching and spatial dipole clustering

Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois, 2009, NeuroImage.

Simultaneous vector-valued image segmentation and intensity nonuniformity correction using variational level set combined with Markov random field modeling

Mohammad Sadegh Helfroush, Kamran Kazemi, Zahra S. Razaee, 2016, Signal Image Video Process..

An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov Model

Mohammad Sadegh Helfroush, Hojat Ghimatgar, Kamran Kazemi, 2019, Journal of Neuroscience Methods.

Atlas-based segmentation of brain MR images using least square support vector machines

Mohammad Sadegh Helfroush, Kamran Kazemi, Mohammad Javad Dehghani, 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

Automated detection of driver fatigue from electroencephalography through wavelet-based connectivity

Amirmasoud Ahmadi, Kamran Kazemi, Hanieh Bazregarzadeh, 2020 .

Automatic fontanel extraction from newborns' CT-images using a model based level set method

Reinhard Grebe, Fabrice Wallois, Mohammad Javad Dehghani, 2010, 2010 17th Iranian Conference of Biomedical Engineering (ICBME).

Design and construction of a brain phantom to simulate neonatal MR images

Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois, 2011, Comput. Medical Imaging Graph..

The S-transform using a new window to improve frequency and time resolutions

Mohammadreza Amirian, Kamran Kazemi, Mohammad Javad Dehghani, 2013, Signal, Image and Video Processing.

A new multiobjective evolutionary optimization algorithm based on θ-multiobjective clonal selection

Mohammad Sadegh Helfroush, Kamran Kazemi, Zahra Zareizadeh, 2017, J. Intell. Fuzzy Syst..

Localization of noncircular iris boundaries using morphology and arched Hough transform

Mohammad Sadegh Helfroush, Kamran Kazemi, Hamed Ghodrati, 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

Symmetric brain atlas template for newborns brain asymmetry studies

Reinhard Grebe, Fabrice Wallois, Mohammad Sadegh Helfroush, 2013, 2013 21st Iranian Conference on Electrical Engineering (ICEE).

An efficient search algorithm for biomarker selection from RNA-seq prostate cancer data

Mohammad Sadegh Helfroush, Kamran Kazemi, Akbar Rahideh, 2018, J. Intell. Fuzzy Syst..

Comparison evaluation of three brain MRI segmentation methods in software tools

Kamran Kazemi, Shaghayegh Kafshgari, Keyvan Kasiri, 2010, 2010 17th Iranian Conference of Biomedical Engineering (ICBME).

Teaching parallel algorithm with process topologies

Chris McDonald, Kamran Kazemi, C. McDonald, 2000, SIGCSE '00.

3D cerebral MR image segmentation using multiple-classifier system

Hossein Parsaei, Kamran Kazemi, Saba Amiri, 2017, Medical & Biological Engineering & Computing.

A JPEG resistance watermarking technique in wavelet domain based on Turbo Codes

Habibollah Danyali, Kamran Kazemi, Mohammad Reza Rahimi, 2011, 2011 19th Iranian Conference on Electrical Engineering.

Salient object detection method using random graph

Habibollah Danyali, Kamran Kazemi, Fatemeh Nouri, 2018, Multimedia Tools and Applications.

Skull and fontanel segmentation from neonatal CT data by model based variational level set using localized coefficient

Reinhard Grebe, Fabrice Wallois, Mohammad Sadegh Helfroush, 2011, 2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA).

Simple, robust and secure data hiding based on CRT feature extraction and closed-loop chaotic encryption system

Habibollah Danyali, Kamran Kazemi, Alireza Ghaemi, 2020, Journal of Real-Time Image Processing.

An EZBC based approach for polarimetric SAR data compression

Mohammad Sadegh Helfroush, Habibollah Danyali, Kamran Kazemi, 2014, 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).

Hierarchical method for brain MRI segmentation based on using atlas information and least square support vector machine

Mohammad Sadegh Helfroush, Mohammad Javad Dehghani, Kamran Kazemi, 2011, 2011 19th Iranian Conference on Electrical Engineering.

Fusing hyperspectral and multispectral images using smooth graph signal modelling

Kamran Kazemi, Mohammad Sadegh Helfroush, Marzieh Zare, 2020 .

Resting-State Functional Connectivity in Popular Targets for Deep Brain Stimulation in the Treatment of Major Depression: An Application of a Graph Theory

Mehdi M. Mirbagheri, Kamran Kazemi, Saba Amiri, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Salient object detection using local, global and high contrast graphs

Habibollah Danyali, Kamran Kazemi, Fatemeh Nouri, 2018, Signal Image Video Process..

Formal specification of virtual process topologies

Chris McDonald, Kamran Kazemi, C. McDonald, 1999, ICWC 99. IEEE Computer Society International Workshop on Cluster Computing.

Improving the PVM teaching environment

Chris McDonald, Kamran Kazemi, C. McDonald, 1997, SIGCSE '97.

A knowledge-based system for brain tumor segmentation using only 3D FLAIR images

Kamran Kazemi, Sina Salehi, Hossein Parsaei, 2019, Australasian Physical & Engineering Sciences in Medicine.

Automatic Fontanel Extraction from Newborns' CT Images Using Variational Level Set

Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois, 2009, CAIP.

Automatic segmentation of newborns’ skull and fontanel from CT data using model-based variational level set

Marc Fournier, Hamid Abrishami Moghaddam, Reinhard Grebe, 2014, Signal Image Video Process..

Multi-atlas based neonatal brain extraction using atlas library clustering and local label fusion

Habibollah Danyali, Kamran Kazemi, Abbas Babajani-Feremi, 2020, Multimedia Tools and Applications.

Polarimetric SAR Image Compression Based on HAa Segmentation Method

Kamran Kazemi, alireza hooshmand sarvestani, mohammad sadegh hel foroosh, 2015 .

Evaluation of anterior fontanel size and area in the newborn using CT images

Reinhard Grebe, Fabrice Wallois, Mohammad Sadegh Helfroush, 2015, J. Intell. Fuzzy Syst..

Multi-atlas based neonatal brain extraction using a two-level patch-based label fusion strategy

Habibollah Danyali, Kamran Kazemi, Ardalan Aarabi, 2019, Biomed. Signal Process. Control..

Neonatal EEG sleep stage classification based on deep learning and HMM

Marina De Vos, Hojat Ghimatgar, Kamran Kazemi, 2020, Journal of neural engineering.

A neonatal atlas template for spatial normalization of whole-brain magnetic resonance images of newborns: Preliminary results

Hamid Abrishami Moghaddam, Reinhard Grebe, Fabrice Wallois, 2007, NeuroImage.

Improving the performance of machine learning algorithms using fuzzy-based features for medical x-ray image classification

Mohammad Sadegh Helfroush, Habibollah Danyali, Kamran Kazemi, 2014, J. Intell. Fuzzy Syst..

Aerial Target Recognition Based on High Resolution Range Profiles (HRRP)

Kamran Kazemi, Reza Mohseni, Reza Hallaj, 2013 .

Gene selection from large-scale gene expression data based on fuzzy interactive multi-objective binary optimization for medical diagnosis

Mohammad Sadegh Helfroush, Kamran Kazemi, Akbar Rahideh, 2018 .

A Hybrid Hierarchical Approach for Brain Tissue Segmentation by Combining Brain Atlas and Least Square Support Vector Machine

Mohammad Sadegh Helfroush, Mohammad Javad Dehghani, Kamran Kazemi, 2013, Journal of medical signals and sensors.

Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition

Paul Scheunders, Mohammad Sadegh Helfroush, Kamran Kazemi, 2021, Remote. Sens..

Morphological active contour driven by local and global intensity fitting for spinal cord segmentation from MR images

Mohammad Sadegh Helfroush, Kamran Kazemi, Alireza Shakibafard, 2018, Journal of Neuroscience Methods.

A novel fingerprint matcher based on an ergodic 2-D Hidden Markov Model

Mohammad Sadegh Helfroush, Kamran Kazemi, Ashkan Tashk, 2011 .

Quantitative effect of the neonatal fontanel on synthetic near infrared spectroscopy measurements

Reinhard Grebe, Fabrice Wallois, Habib Benali, 2013, Human brain mapping.

Fuzzy-based Medical X-Ray Image Classification

Mohammad Sadegh Helfroush, Kamran Kazemi, Mahmoud Rashidpour, 2012, Journal of medical signals and sensors.

Gene expression feature selection for prostate cancer diagnosis using a two-phase heuristic-deterministic search strategy.

Akbar Rahideh, Mohammad Sadegh Helfroush, Kamran Kazemi, 2018, IET systems biology.