6- مقالات مجلات:
1) M.R. Daliri, V. Torre, Robust Symbolic Representation for Shape Recognition and Retrieval, Pattern Recognition, 41 (5): 1782- 1789, 2008.
2) M.R. Daliri, V. Torre, Shape and Texture Clustering: Best Estimate for the Clusters Number, Image and Vision Computing, 27(10): 1603- 1614, 2009.
3) M.R. Daliri, V. Torre, Classification of Silhouettes Using Contour Fragments, Computer Vision and Image Understanding, 113(9): 1017- 1025, 2009.
4) M.R. Daliri, V. Torre, Shape Recognition Based on Kernel-Edit Distance, Computer Vision and Image Understanding, 114 (10): 1097-1103, 2010.
5) M.R. Daliri, Automated Diagnosis of Alzheimer Disease Using the Scale-Invariant Feature Transforms in Magnetic Resonance Images, Journal of Medical Systems, 36 (2): 995-1000, 2012.
6) M.R. Daliri, M. Fattan, Improving the Generalization of Neural Networks by Changing the Structure of Artificial Neuron, Malaysian Journal of Computer Science, 24 (4): 195- 204, 2011.
7) H.K. Rouzbahani, M.R. Daliri, Diagnosis of Parkinson's Disease in Human Using Voice Signals, Basic and Clinical Neuroscience, 2 (3): 12-20, 2011.
8) M.R. Daliri, M. Saraf, A Bayesian Framework for Face Recognition, International Journal of Innovative Computing, Information and Control, 8: 1-13, 2012.
9) Z. Daneshparvar, M.R. Daliri, A Simulation-Based Study of Dorsal Cochlear Nucleus Pyramidal Cell Firing Patterns, Basic and Clinical Neuroscience, 3 (2): 23-32, 2012.
10) M.R. Daliri, Predicting the Cognitive States of the Subjects in Functional Magnetic Resonance Imaging Signals Using the Combination of Feature Selection Strategies, Brain Topography, 25 (2): 129-135, 2012.
11) M.R. Daliri, A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines, Journal of Medical Systems, 36 (2): 1001-1005, 2012.
12) M. Behroozi, M.R. Daliri, H. Boyaci, Statistical Analysis Methods for the fMRI Data, Basic and Clinical Neuroscience, 2 (4): 67-74, 2011.
13) M.R. Daliri, Automatic Diagnosis of Neuro-degenerative Diseases using Gait Dynamics, Measurement, 45 (7): 1729-1734, 2012.
14) M.R. Daliri, Chi-Square Distance Kernel of the Gaits for the Diagnosis of Parkinson's Disease, Biomedical Signal Processing and Control, 8(1): 66-70, 2013.
15) M.R. Daliri, Feature Selection using Binary Particle Swarm Optimization and Support Vector Machines for Medical Diagnosis, Biomedizinische Technik/Biomedical Engineering, 57: 395-402, 2012.
16) M.R. Daliri, Kernel Earth Mover's Distance for EEG Classification, Clinical EEG and Neuroscience, 44(3): 182-187, 2013.
17) M.R. Daliri, A Hybrid Method for the Decoding of Spatial Attention using the MEG Brain Signals, Biomedical Signal Processing and Control, 10: 308-312, 2014.
18) M.R. Daliri, M. Taghizadeh, K. Salehzadeh Niksirat, EEG Signature of Object Categorization from Even-Related Potentials, Journal of Medical Signals and Sensors, 3(1):37-44, 2013.
19) A. Khorasani, M.R. Daliri, Estimation of Neural Firing Rate: the Wavelet Density Estimation Approach, Biomedizinische Technik/Biomedical Engineering, 58(4): 377-386, 2013.
20) M. Behroozi, M.R. Daliri, RDLPFC area of the brain encodes the sentence polarity: a
study using fMRI, Brain Imaging and Behavior, In Press.
21) M.R. Daliri, Combining extreme learning machines using support vector machines for breast tissue classification, Computer Methods in Biomechanics and Biomedical Engineering, In Press.
22) M.R. Daliri, M. Behroozi, Advantages and Disadvantages of Resting State Functional Connectivity Magnetic Resonance Imaging for Clinical Applications, OMICS J Radiology, e123, 2014.
23) M. Taghizadeh-Sarabi, M.R. Daliri, K.S. Niksirat, Decoding Objects of Basic Categories from Electroencephalographic Signals Using Wavelet Transform and Support Vector Machines, Brain Topography, In Press.
24) M.R. Daliri, S. Sanei, Introduction to the special issue on Advances in Biomedical Signal and Image Processing, and Biometrics, Computers & Electrical Engineering, 40 (5), 1714-1716, 2014.
25) M. Esghaei, M.R. Daliri, Decoding of visual attention from LFP signals of macaque MT, PLoS One, 9(6): e100381, 2014.
26) A. Khorasani, M.R. Daliri, HMM for Classification of Parkinson's Disease Based on the Raw Gait Data, Journal of Medical Systems, 38(12): 1-6, 2014.
27) M. Behroozi, M.R. Daliri, Predicting Brain States Associated with Object Categories from fMRI Data, Journal of Integrative Neuroscience, 13(4): 645-667, 2014.
28) M. Behroozi, M.R. Daliri, B. Shekarchi, EEG phase patterns reflect the representation of semantic categories of objects, Medical & Biological Engineering & Computing, 54 (1):205-221, 2015.
29) M.R. Daliri, Z. Jin, Introduction to the special issue on Advances in Biomedical Signal and Image Processing, and Biometrics, Computers & Electrical Engineering, 45 (C), 208-210, 2015.
30) A. Khorasani, M.R. Daliri, M. Pooyan, Recognition of amyotrophic lateral sclerosis disease using factorial hidden Markov model, Biomedical Engineering/Biomedizinische Technik, 2015.
31) H. Aliyari, M. Kazemi, E. Tekieh, M. Salehi, H. Sahraei, M.R. Daliri, H. Agaei, B. Minaei, R. Lashgari, N. Srahian, M. Salehi, A. Ranjbar Aghdam, The Effects of Fifa 2015 Computer Games on Changes in Cognitive, Hormonal and Brain Waves Functions of Young Men Volunteers, Basic and Clinical Neuroscience, 6 (3): 193-201, 2015.
32) A. Ahmadvand, M. Sharififar, M.R. Daliri, Supervised segmentation of MRI brain images using combination of multiple classifiers, Australasian Physical & Engineering Sciences in Medicine, 38(2): 241-253, 2015.
33) A. Ahmadvand, M.R. Daliri, Improving the runtime of MRF based method for MRI brain segmentation, Applied Mathematics and Computation, 256: 808-818, 2015.
34) Z. Seif, M.R. Daliri, Evaluation of local field potential signals in decoding of visual attention, Cognitive Neurodynamics, 2015.
35) M. Parto Dezfuli, M.R. Daliri, The Effect of Adaptation on the Tuning Curves of Rat Auditory Cortex, Plos One, 10(2): e0115621.
36) M. Esghaei, M.R. Daliri, S. Treue, Attention decreases phase-amplitude coupling, enhancing stimulus discriminability in cortical area MT, Frontiers in Neural Circuits, 9, 2015.
37) H. Zanganeh Momtaz, M.R. Daliri, Predicting the eye fixation locations in the gray scale images in the visual scenes with different semantic contents, Cognitive Neurodynamics, 10 (1):31-47, 2016.
38) H. Zanganeh Momtaz, M.R. Daliri, Differences of eye movement pattern in natural and man-made scenes and image categorization with the help of these patterns, Journal of Integrative Neuroscience, 2015.
39) A. Ahmadvand, M.R. Daliri, Invariant texture classification using a spatial filter bank in multi-resolution analysis, Image and Vision Computing, 45:1-10, 2016.
40) A. Ahamdvand, M.R. Daliri, Rotation Invariant Texture Classification using Extended Wavelet Channel Combining and LL Channel Filter Bank, Knowledge-Based Systems, 97:75-88, 2016.
41) S. Jafakesh, F. Zareyian, M.R. Daliri, Decoding of Object Categories from Brain Signals using Cross Frequency Coupling Methods, Biomedical Signal Processing and Control, 27:60-67, 2016.
42) M. Fatan, M.R. Daliri, A.M. Shahri, Underwater Cable Detection in the Images using Edge Classification based on Texture Information, Measurement, 91, 309-317, 2016.
43) M.R. Daliri, V. Kozyrev, S. Treue, Attention enhances stimulus representations in macaque visual cortex without affecting their signal-to-noise level, Nature Scientific Reports, 6: 27666, 2016.
44) M.R. Daliri, S. Sanei, Introduction to the 6th special section on Advances in Biomedical Signal and Image Processing, and Biometrics, Computers and Electrical Engineering, 53 (C), 122-124, 2016.
45) R. Foodeh, A. Khorasani, V. Shalchyan, M.R. Daliri, Minimum Noise Estimate filter: a Novel Automated Artifacts Removal method for Field Potentials, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2016.
46) A. Khorasani, N.H. Beni, V. Shalchyan, M.R. Daliri, Continuous Force Decoding from Local Field Potentials of the Primary Motor Cortex in Freely Moving Rats, Nature Scientific Reports, 6: 35238, 2016.
47) A. Ahmadvand, M.R. Daliri, M. Hajiali, DCS-SVM: a novel semi-automated method for human brain MR image segmentation, Biomedical Engineering/Biomedizinische Technik, 2016.
48) A. Ahmadvand, M.R. Daliri, S.M. Zahiri, Segmentation of brain MR images using a proper combination of DCS based method with MRF, Multimedia Tools and Applications, 2017.
49) A. Torabi, F.Z . Jahromy, M.R. Daliri, Semantic Category-Based Classification Using Nonlinear Features and Wavelet Coefficients of Brain Signals, Cognitive Computation, 2017.
50) A. Bajoulvand, R.Z. Marandi, M.R. Daliri, S.H. Sabzpoushan, Analysis of folk music preference of people from different ethnic groups using kernel-based methods on EEG signals, Applied Mathematics and Computation, 307: 62-70, 2017.
51) S.M. Ashtiani, M.R. Daliri, H. Behnam, G.A. Hossein-Zadeh, M. Mehrpour, M.R. Motamed, F. Fadaie, Altered topological properties of brain networks in the early MS patients revealed by cognitive task-related fMRI and graph theory, Biomedical Signal Processing and Control 40, 385-395, 2018.
52)M. Esghaei, M.R. Daliri, S. Treue, Local field potentials are induced by visually evoked spiking activity in macaque cortical area MT, Nature Scientific Reports, 7 (1), 17110, 2017.
53) A. Khorasani, R. Foodeh, V. Shalchyan, M.R. Daliri, Brain Control of an External Device by Extracting the Highest Force-related Contents of Local Field Potentials in Freely Moving Rats, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017.
54) A. Torabi, M.R. Daliri, S.H. Sabzposhan, Diagnosis of multiple sclerosis from EEG signals using nonlinear methods, Australasian physical & engineering sciences in medicine, 2017.
55) Z. Bahmani, M.R. Daliri, Y. Merrikhi, K. Clark, B. Noudoost, Working Memory Enhances Cortical Representations via Spatially Specific Coordination of Spike Times, Neuron, 2018.
56) M. Esghaei, M.R. Daliri, S. Treue, Attention decouples action potentials from the phase of local field potentials in macaque visual cortical area MT, BMC Biology, 16 (1):86, 2018.
57) A. Ahmadi, S. Davoudi, M.R. Daliri, Computer Aided Diagnosis System for Multiple Sclerosis Disease based on Phase to Amplitude Coupling in Covert Visual Attention, Computer Methods and Programs in Biomedicine, 2018.
58) B. Abdi Sargezeh, A. Ayatollahi, M.R. Daliri, Investigation of eye movement pattern parameters of individuals with different fluid intelligence, Experimental Brain Research, 2018.
|