Mahdi Ramezani
Mahdi Ramezani
Chief Technical Officer at ehsAI
Verified email at - Homepage
Cited by
Cited by
Towards genetic feature selection in image steganalysis
M Ramezani, S Ghaemmaghami
Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE, 1-4, 2010
Learning-based multi-label segmentation of transrectal ultrasound images for prostate brachytherapy
S Nouranian, M Ramezani, I Spadinger, WJ Morris, SE Salcudean, ...
IEEE transactions on medical imaging 35 (3), 921-932, 2015
Joint Sparse Representation of Brain Activity Patterns in Multi-Task fMRI Data.
M Ramezani, K Marble, H Trang, I Johnsrude, P Abolmaesumi
IEEE transactions on medical imaging, 2014
Automatic localization of the da Vinci surgical instrument tips in 3-D transrectal ultrasound
O Mohareri, M Ramezani, TK Adebar, P Abolmaesumi, SE Salcudean
IEEE Transactions on Biomedical Engineering 60 (9), 2663-2672, 2013
Fusion analysis of functional MRI data for classification of individuals based on patterns of activation
M Ramezani, P Abolmaesumi, K Marble, H Trang, I Johnsrude
Brain imaging and behavior 9 (2), 149-161, 2015
Temporal-lobe morphology differs between healthy adolescents and those with early-onset of depression
M Ramezani, I Johnsrude, A Rasoulian, R Bosma, R Tong, T Hollenstein, ...
NeuroImage: Clinical 6, 145-155, 2014
Ultrasound-based characterization of prostate cancer using joint independent component analysis
F Imani, M Ramezani, S Nouranian, E Gibson, A Khojaste, M Gaed, ...
IEEE Transactions on Biomedical Engineering 62 (7), 1796-1804, 2015
Adaptive image steganography with mod-4 embedding using image contrast
M Ramezani, S Ghaemmaghami
2010 7th IEEE Consumer Communications and Networking Conference, 1-4, 2010
Method and apparatus for identifying fragmented material portions within an image
ST Bilandi, M RAMEZANI, IL Bell, M Sameti, P Abolmaesumi, ...
US Patent App. 15/752,430, 2019
Towards Autonomous Mining via Intelligent Excavators
H Shariati, A Yeraliyev, B Terai, S Tafazoli, M Ramezani
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
Method and apparatus for locating a wear part in an image of an operating implement
ST Bilandi, M Ramezani, A Suzani, N Parnian, MA Baumann, ...
US Patent 10,339,667, 2019
Fusion analysis of first episode depression: Where brain shape deformations meet local composition of tissue
M Ramezani, P Abolmaesumi, A Tahmasebi, R Bosma, R Tong, ...
NeuroImage: Clinical 7, 114-121, 2015
Classification of individuals based on Sparse Representation of brain cognitive patterns: A functional MRI study
M Ramezani, P Abolmaesumi, K Marble, H MacDonald, IS Johnsrude
Engineering in Medicine and Biology Society (EMBC), 2012 Annual …, 2012
Joint Sparse Representation of Brain Activity Patterns Related to Perceptual and Cognitive Components of a Speech Comprehension Task
M Ramezani, P Abolmaesumi, K Marble, H MacDonald, I Johnsrude
Pattern Recognition in NeuroImaging (PRNI), 2012 International Workshop on …, 2012
Automatic Prostate Brachytherapy Preplanning Using Joint Sparse Analysis
S Nouranian, M Ramezani, I Spadinger, WJ Morris, SE Salcudean, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
Joint source based analysis of multiple brain structures in studying major depressive disorder
M Ramezani, A Rasoulian, T Hollenstein, K Harkness, I Johnsrude, ...
Medical Imaging 2014: Image Processing 9034, 90341P, 2014
Automatic Detection and Localization of da Vinci Tool Tips in 3D Ultrasound
O Mohareri, M Ramezani, T Adebar, P Abolmaesumi, S Salcudean
Information Processing in Computer-Assisted Interventions, 22-32, 2012
Independent component analysis on lie groups for multi-object analysis of first episode depression
M Ramezani, A Rasoulian, I Johnsrude, T Hollenstein, K Harkness, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Multi-object statistical analysis of late adolescent depression
M Ramezani, A Rasoulian, P Abolmaesumi, T Hollenstein, I Johnsrude, ...
SPIE Medical Imaging, 86690D-86690D-6, 2013
Comparison of supervised classification methods with various data preprocessing procedures for activation detection in fMRI data
M Ramezani, E Fatemizadeh
Computational Neuroscience, 75-83, 2010
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