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2020 – today
- 2024
[i1]Sayed Amir Mousavi Mobarakeh, Kamran Kazemi, Ardalan Aarabi, Habibollah Danyali:
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images. CoRR abs/2401.07020 (2024)- 2023
- [j23]Reyhane Ghaffari
, Mohammad Sadegh Helfroush, Abbas Khosravi, Kamran Kazemi, Habibollah Danyali, Leszek Rutkowski:
Toward domain adaptation with open-set target data: Review of theory and computer vision applications. Inf. Fusion 100: 101912 (2023) - 2022
- [j22]Asieh Khosravanian, Mohammad Rahmanimanesh, Parviz Keshavarzi, Saeed Mozaffari, Kamran Kazemi:
Level set method for automated 3D brain tumor segmentation using symmetry analysis and kernel induced fuzzy clustering. Multim. Tools Appl. 81(15): 21719-21740 (2022) - [j21]Alireza Ghaemi, Habibollah Danyali, Kamran Kazemi:
Reversible Data Hiding in Encryption Domain based on two dimensional histogram shifting and secure encryption system. Multim. Tools Appl. 81(23): 33731-33757 (2022) - 2021
- [j20]Alireza Ghaemi, Habibollah Danyali, Kamran Kazemi:
Simple, robust and secure data hiding based on CRT feature extraction and closed-loop chaotic encryption system. J. Real Time Image Process. 18(1): 221-232 (2021) - [j19]Marzieh Zare, Mohammad Sadegh Helfroush, Kamran Kazemi, Paul Scheunders:
Hyperspectral and Multispectral Image Fusion Using Coupled Non-Negative Tucker Tensor Decomposition. Remote. Sens. 13(15): 2930 (2021) - 2020
- [j18]Negar Noorizadeh, Kamran Kazemi, Habibollah Danyali, Abbas Babajani-Feremi, Ardalan Aarabi:
Multi-atlas based neonatal brain extraction using atlas library clustering and local label fusion. Multim. Tools Appl. 79(27-28): 19411-19433 (2020)
2010 – 2019
- 2019
- [j17]Negar Noorizadeh, Kamran Kazemi, Habibollah Danyali, Ardalan Aarabi:
Multi-atlas based neonatal brain extraction using a two-level patch-based label fusion strategy. Biomed. Signal Process. Control. 54 (2019) - [j16]Maliheh Ahmadi, Kamran Kazemi, Ardalan Aarabi, Taher Niknam, Mohammad Sadegh Helfroush:
Image segmentation using multilevel thresholding based on modified bird mating optimization. Multim. Tools Appl. 78(16): 23003-23027 (2019) - [c9]Saba Amiri, Mohammad Arbabi, Kamran Kazemi, Mansor Parvaresh-Rizi, Mehdi M. Mirbagheri:
Resting-State Functional Connectivity in Popular Targets for Deep Brain Stimulation in the Treatment of Major Depression: An Application of a Graph Theory. EMBC 2019: 4334-4337 - 2018
- [j15]Zahra Zareizadeh, Mohammad Sadegh Helfroush, Akbar Rahideh, Kamran Kazemi:
A robust gene clustering algorithm based on clonal selection in multiobjective optimization framework. Expert Syst. Appl. 113: 301-314 (2018) - [j14]Saleh Shahbeig, Akbar Rahideh, Mohammad Sadegh Helfroush, Kamran Kazemi:
An efficient search algorithm for biomarker selection from RNA-seq prostate cancer data. J. Intell. Fuzzy Syst. 35(3): 3171-3180 (2018) - [j13]Hojat Ghimatgar, Kamran Kazemi, Mohammad Sadegh Helfroush, Ardalan Aarabi:
An improved feature selection algorithm based on graph clustering and ant colony optimization. Knowl. Based Syst. 159: 270-285 (2018) - [j12]Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali:
Salient object detection method using random graph. Multim. Tools Appl. 77(19): 24681-24699 (2018) - [j11]Fatemeh Nouri, Kamran Kazemi, Habibollah Danyali:
Salient object detection using local, global and high contrast graphs. Signal Image Video Process. 12(4): 659-667 (2018) - 2017
- [j10]Zahra Zareizadeh, Mohammad Sadegh Helfroush, Kamran Kazemi:
A new multiobjective evolutionary optimization algorithm based on θ-multiobjective clonal selection. J. Intell. Fuzzy Syst. 32(3): 1685-1696 (2017) - [j9]Saba Amiri, Mohammad Mehdi Movahedi, Kamran Kazemi, Hossein Parsaei:
3D cerebral MR image segmentation using multiple-classifier system. Medical Biol. Eng. Comput. 55(3): 353-364 (2017) - 2016
- [j8]Zahra S. Razaee, Kamran Kazemi, Mohammad Sadegh Helfroush:
Simultaneous vector-valued image segmentation and intensity nonuniformity correction using variational level set combined with Markov random field modeling. Signal Image Video Process. 10(5): 887-893 (2016) - 2015
- [j7]Negar Noorizadeh, Kamran Kazemi, Reinhard Grebe, Mohammad Sadegh Helfroush, Fabrice Wallois:
Evaluation of anterior fontanel size and area in the newborn using CT images. J. Intell. Fuzzy Syst. 29(1): 443-450 (2015) - 2014
- [j6]Fatemeh Ghofrani, Mohammad Sadegh Helfroush, Habibollah Danyali, Kamran Kazemi:
Improving the performance of machine learning algorithms using fuzzy-based features for medical x-ray image classification. J. Intell. Fuzzy Syst. 27(6): 3169-3180 (2014) - [j5]Nassim Jafarian, Kamran Kazemi, Hamid Abrishami Moghaddam, Reinhard Grebe, Marc Fournier, Mohammad Sadegh Helfroush, Catherine Gondry-Jouet, Fabrice Wallois:
Automatic segmentation of newborns' skull and fontanel from CT data using model-based variational level set. Signal Image Video Process. 8(2): 377-387 (2014) - [j4]Kamran Kazemi, Mohammadreza Amirian, Mohammad Javad Dehghani:
The S-transform using a new window to improve frequency and time resolutions. Signal Image Video Process. 8(3): 533-541 (2014) - 2012
- [c8]Marc Fournier, Mahdi Mahmoudzadeh, Kamran Kazemi, Guy Kongolo, Ghislaine Dehaene-Lambertz, Reinhard Grebe, Fabrice Wallois:
Realistic Head Model Design and 3D Brain Imaging of NIRS Signals Using Audio Stimuli on Preterm Neonates for Intra-Ventricular Hemorrhage Diagnosis. MICCAI (3) 2012: 172-179 - 2011
- [j3]Kamran Kazemi, Hamid Abrishami Moghaddam, Reinhard Grebe, Catherine Gondry-Jouet, Fabrice Wallois:
Design and construction of a brain phantom to simulate neonatal MR images. Comput. Medical Imaging Graph. 35(3): 237-250 (2011) - [c7]Nassim Jafarian, Kamran Kazemi, Reinhard Grebe, Mohammad Sadegh Helfroush, Mohammad Javad Dehghani, Fabrice Wallois:
Skull and fontanel segmentation from neonatal CT data by model based variational level set using localized coefficient. ICSIPA 2011: 591-594 - 2010
- [c6]Keyvan Kasiri, Kamran Kazemi, Mohammad Javad Dehghani, Mohammad Sadegh Helfroush:
Atlas-based segmentation of brain MR images using least square support vector machines. IPTA 2010: 306-310 - [c5]Hamed Ghodrati, Mohamad Javad Dehghani, Mohammad Sadegh Helfroush, Kamran Kazemi:
Localization of noncircular iris boundaries using morphology and arched Hough transform. IPTA 2010: 458-463
2000 – 2009
- 2009
- [j2]Ardalan Aarabi, Kamran Kazemi, Reinhard Grebe, Hamid Abrishami Moghaddam, Fabrice Wallois:
Detection of EEG transients in neonates and older children using a system based on dynamic time-warping template matching and spatial dipole clustering. NeuroImage 48(1): 50-62 (2009) - [c4]Kamran Kazemi, Sona Ghadimi, Alireza Lyaghat, Alla Tarighati, Narjes Golshaeyan, Hamid Abrishami Moghaddam, Reinhard Grebe, Catherine Gondary-Jouet, Fabrice Wallois:
Automatic Fontanel Extraction from Newborns' CT Images Using Variational Level Set. CAIP 2009: 639-646 - 2007
- [j1]Kamran Kazemi, Hamid Abrishami Moghaddam, Reinhard Grebe, Catherine Gondry-Jouet, Fabrice Wallois:
A neonatal atlas template for spatial normalization of whole-brain magnetic resonance images of newborns: Preliminary results. NeuroImage 37(2): 463-473 (2007) - 2000
- [c3]Chris McDonald, Kamran Kazemi:
Teaching parallel algorithm with process topologies. SIGCSE 2000: 70-74
1990 – 1999
- 1999
- [c2]Kamran Kazemi, Chris McDonald:
Formal Specification of Virtual Process Topologies. IWCC 1999: 169-176 - 1997
- [c1]Chris McDonald, Kamran Kazemi:
Improving the PVM teaching environment. SIGCSE 1997: 219-223
Coauthor Index
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