صفحه شخصی دکتر کامران کاظمی

مقالات چاپ شده در نشریات

1. Azizollahi H, Aarabi A, Kazemi K, Wallois F, Assessing the effects of head modelling errors and measurement noise on EEG source localization accuracy in preterm newborns: A single‐subject study, European Journal of Neuroscience, ۵۸(۳)‎, ۲۷۴۶-۲۷۶۵, ۲۰۲۳.‎
2. Ghaffari R, Helfroush MS, Khosravi A, Kazemi K, Danyali H, Rutkowski L, Towards domain adaptation with open-set target data: Review of theory and computer vision applications R۱# C۱, Journal of Information Fusion,۱۰۰, ۱۰۱۹۱۲, ۲۰۲۳.‎
3. Soleimani N, Kazemi K., A, Aarabi A.‎, Helfroush MS.‎, Altered brain structural and functional connectivity in cannabis users, Journal of Scientific reports, Scientific Reports ۱۳ (۱)‎, ۵۸۴۷, ۲۰۲۳.‎
4. Jafakesh S, Sangchooli A, Aarabi A.‎, Helfroush MS.‎, Dakhili A.‎, Oghabian MA.‎, Kazemi K., Ekhtiari H, Temporally dynamic neural correlates of drug cue reactivity, response inhibition, and methamphetamine-related response inhibition in people with methamphetamine use disorder, Journal of Scientific reports, ۱۲(۱)‎, ۱-۱۸, ۲۰۲۲.‎
5. Khosravanian A.‎, Rahmanimanesh M.‎, Keshavarzi P.‎, Mozaffari S.‎, Kazemi K.‎, Level set method for automated ۳D brain tumor segmentation using symmetry analysis and kernel induced fuzzy clustering, Journal of Multimedia Tools and Applications, ۸, ۲۱۷۱۹–۲۱۷۴۰, ۲۰۲۲.‎
6. Ghaemi A, Danyali H.‎, Kazemi K, Reversible Data Hiding in Encryption Domain based on two dimensional histogram shifting and secure encryption system, Journal of Multimedia Tools and Applications, ۸۱, pages۳۳۷۳۱–۳۳۷۵۷, ۲۰۲۲.‎
7. Dakhili A.‎, Sangchooli A, Jafakesh S, Soleimani g, Batouli SAH, Kazemi K., Faghiri A, Oghabian MA.‎, Ekhtiari H, Cue-induced craving and negative emotion disrupt response inhibition in methamphetamine use disorder: Behavioral and fMRI results from a mixed Go/No-Go task, Drug and Alcohol Dependence ۲۳۳, ۱۰۹۳۵۳, ۲۰۲۲.‎
8. Farhadian N, Moradi A, Nami M, Kazemi K, Ghadami MR, Ahmadi A, Mohammadi R, Talebi MN, Chakrabarti P, Kateb B, Khazaie H, The nexus between sleep disturbances and mental health outcomes in military staff: a systematic review, Sleep Sci.‎ ۱۵(۳)‎: ۳۵۶–۳۶۲, ۲۰۲۲.‎
9. Moradi A, Ghahremaninejad F, Hoseini E, Talebi MN, Lohrasbi S, Farahimanesh S, Nami M, Khazaei H, Kazemi K, Mohammadi M, The effectiveness of caffeinated chewing gum in ameliorating cognitive functions affected by sleep deprivation,
10. Shahvaran Z.‎, Kazemi K.‎, Fouladivanda M.‎, Helfroush M.S.‎, Godefroy O.‎, Aarabi A.‎, Morphological Active Contour Model for Automatic Brain Tumor Extraction from Multimodal Magnetic Resonance Images, Journal of Neuroscience Methods, ۳۶۲, ۱۰۹۲۹۶, ۲۰۲۱.‎
11. Ahmadi M, Kazemi K, Kuc K, Cybulska-Klosowicz A, Zakrzewska M, Racicka-Pawlukiewicz E, Helfroush MS, Aarabi A, Resting state dynamic functional connectivity in children with Attention Deficit/Hyperactivity Disorder, Journal of neural engineering, ۱۸(۴)‎, ۲۰۲۱.‎
12. Ahmadi M, Kazemi K, Kuc K, Cybulska-Klosowicz A, Zakrzewska M, Racicka-Pawlukiewicz E, Helfroush MS, Aarabi A, Disrupted Functional Rich-Club Organization of the Brain Networks in Children with Attention-Deficit/Hyperactivity Disorder, a Resting-State EEG Study.‎ Brain Sciences ۱۱ (۷)‎, ۹۳۸, ۲۰۲۱.‎
13. Ahmadi A, Bazregarzadeh H, K Kazemi, Automated detection of driver fatigue from electroencephalography through wavelet-based connectivity, Journal of Biocybernetics and Biomedical Engineering ۴۱ (۱)‎, ۳۱۶-۳۳۲, ۲۰۲۱.‎
14. Amiri S, Arbabi M, Kazemi K, Parvaresh-Rizi M, Mirbagheri M.‎, Characterization of brain functional connectivity in treatment-resistant depression, Progress in Neuro-Psychopharmacology and Biological Psychiatry, ۱۱۱(۱۱۰۳۴۶)‎, ۲۰۲۱.‎
15. Khalilian M, Kazemi K, Fouladivanda M, Makki M, Helfroush M.S.‎, Aarabi A, Effect of Multishell Diffusion MRI Acquisition Strategy and Parcellation Scale on Rich-Club Organization of Human Brain Structural Networks, Diagnostics ۱۱ (۶)‎, ۹۷۰, ۲۰۲۱.‎
16. Fouladivanda M, Kazemi K, Makki M, Khalilian M, Danyali H.‎, Gervain J.‎, Aarabi A, Multi-scale structural rich-club organization of the brain in full-term newborns: a combined DWI and fMRI study, Journal of neural engineering, ۱۸(۴)‎, ۰۴۶۰۶۵, ۲۰۲۱.‎
17. Saadani-Makki F.‎, Aarabi A.‎, Fouladivanda M.‎, Kazemi K, Makki M.‎, Sexual Dimorphisms and Asymmetries of the Thalamo-Cortical Pathways and Subcortical Grey Matter of Term Born Healthy Neonates: An Investigation with Diffusion Tensor MRI, Diagnostics ۱۱(۳)‎, ۵۶۰, ۲۰۲۱.‎
18. Zare M, Helfroush M.‎ S.‎, Kazemi K, Fusing hyperspectral and multispectral images using smooth graph signal modelling, International Journal of Remote Sensing ۴۱ (۲۲)‎, ۸۶۱۰-۸۶۳۰, ۲۰۲۰.‎
19. Ahmadi M, Kazemi K, Kuc K, Cybulska-Klosowicz A, Zakrzewska M, Racicka-Pawlukiewicz E, Helfroush MS, Aarabi A, Cortical source analysis of resting state EEG data in children with attention deficit hyperactivity disorder, Journal of Clinical Neurophysiology, ۱۳۱(۹)‎, ۲۱۱۵-۲۱۳۰, ۲۰۲۰.‎
20. Ghimatgar H.‎, Kazemi K, Helfroush M.‎ S.‎, Pillay K, Dereymaeker A, Jansen K, De Vos M, Aarabi A.‎, Neonatal EEG sleep stage classification based on deep learning and HMM, Accepted to be published in Journal of Neural Engineering, ۲۰۲۰.‎
21. Ghaemi A, Danyali H.‎, Kazemi K, Simple, robust and secure data hiding based on CRT feature extraction and closed-loop chaotic encryption system, Accepted to be published in Journal of Real-Time Image Processing, doi.org/۱۰.‎۱۰۰۷/s۱۱۵۵۴-۰۲۰-۰۰۹۷۱-۲, ۲۰۲۰.
22. Noorizadeh N.‎, Kazemi K, Danyali H.‎, Babajani-Feremi A, Aarabi A, Multi-atlas based neonatal brain extraction using atlas library clustering and local label fusion, Accepted to be published in Journal of Multimedia Tools and Applications, doi.org/۱۰.‎۱۰۰۷/s۱۱۰۴۲-۰۲۰-۰۸۷۴۹-۱, ۲۰۲۰.
23. Ghassemi A, Kazemi K, Sefidbakht S, Danyali H.‎, Reliable Estimation of the Intra-Voxel Incoherent Motion Parameters of Brain Diffusion Imaging using ϑ-Teaching-Learning-Based Optimization, Radioengineering ۲۹ (۱)‎, ۲۵۱-۲۵۸, ۲۰۲۰.‎
24. Pishghadam M, Kazemi K, Nekooei S, Seilanian‐Toosi F, Hoseini‐Ghahfarokhi M, Zabihzadeh M, Fatemi A, A new approach to automatic fetal brain extraction from MRI using a variational level set method, Medical physics, ۴۶ (۱۱)‎, ۴۹۸۳-۴۹۹۱, ۲۰۱۹.‎
25. Noorizadeh N.‎, Kazemi K, Danyali H.‎, Aarabi A.‎, Multi-Atlas based Neonatal Brain Extraction using a Two-level Patch-based Label Fusion Strategy, Biomedical Signal Processing and Control, ۵۴, ۱۰۱۶۰۲, ۲۰۱۹.‎
26. Ghimatgar H.‎, Kazemi K, Helfroush M.‎ S.‎, Aarabi A.‎, An automatic single-channel EEG-based sleep stage scoring method based on hidden Markov model, Journal of neuroscience methods ۳۲۴, ۱۰۸۳۲۰, ۲۰۱۹.‎
27. Ahmadi M, Kazemi K, Aarabi A, Niknam T, Helfroush MS, Image segmentation using multilevel thresholding based on modified bird mating optimization, Multimedia Tools and Applications, ۱-۲۵, ۲۰۱۹.‎
28. Amirmoezzi Y, Salehi S, Parsaei H, Kazemi K, Jahromi AT, A knowledge-based system for brain tumor segmentation using only ۳D FLAIR images, Australasian physical & engineering sciences in medicine, ۱-۱۲, ۲۰۱۹.‎
29. Fouladivanda M.‎, Kazemi K, Helfroush M.‎ S.‎, Shakibafard A.‎, Morphological Active Contour Driven by Local and Global Intensity Fitting for Spinal Cord Segmentation from MR Images, Journal of neuroscience methods, ۳۰۸:۱۱۶-۱۲۸, ۲۰۱۸.‎
30. Ghimatgar H.‎, Kazemi K, Helfroush M.‎ S.‎, Aarabi A.‎, An improved feature selection algorithm based on graph clustering and ant colony optimization, accepted to be published in Journal of Knowledge-Based Systems, ۱۵۹, ۲۷۰-۲۸۵, ۲۰۱۸.‎
31. Zareizadeh, Z.‎, Helfroush M.‎ S.‎, Rahideh A.‎, Kazemi K, A Robust Gene Clustering Algorithm Based on Clonal Selection in Multiobjective Optimization Framework, Journal of Expert Systems with Applications, ۱۱۳, ۳۰۱-۳۱۴, ۲۰۱۸.‎
32. Shahbeig S.‎, Rahideh A.‎, Helfroush M.S.‎, Kazemi K.‎, Gene Expression Feature Selection for Prostate Cancer Diagnosis using a Two-Phase Heuristic-Deterministic Search Strategy, accepted to be published in Journal of IET Systems Biology, ۱۲(۴)‎, ۱۶۲-۱۶۹, ۲۰۱۸.‎
33. Nouri F.‎, Kazemi K.‎, Danyali H.‎, Salient object detection method using random graph, accepted to be published in Journal of Multimedia Tools and Applications, ۷۷(۱۹)‎, ۲۴۶۸۱–۲۴۶۹۹, ۲۰۱۸.‎
34. Shahbeig S.‎, Rahideh A.‎, Helfroush M.S.‎, Kazemi K.‎, Gene selection from large-scale gene expression data based on fuzzy interactive multi-objective binary optimization for medical diagnosis, Biocybernetics and Biomedical Engineering ۳۸ (۲)‎, ۳۱۳-۳۲۸, ۲۰۱۸.‎
35. Meskinia E, Helfroush M.S.‎, Kazemia K.‎, Sepaskhah M.‎, A New Algorithm for Skin Lesion Border Detection in Dermoscopy Images, J Biomed Phys Eng ۸(۱)‎, ۱۱۷-۱۲۶, ۲۰۱۸.‎
36. Nouri F.‎, Kazemi K.‎, Danyali H.‎, Salient object detection using local, global and high contrast graphs, Signal, Image and Video Processing ۱۲ (۴)‎, ۶۵۹-۶۶۷, ۲۰۱۸.‎
37. Zabihzadeh M, Pishghadam M, Kazemi K.‎, Nekooi S, Tahmasebi Birgani M.J.‎, Seilanian-Toosi F, Comparison the Accuracy of Fetal Brain Extraction from T۲-Half-Fourier Acquisition Single-Shot Turbo Spin-Echo (HASTE) MR Image with T۲-True Fast Imaging with Steady State Free Precession (TRUFI) MR Image by Level Set Algorithm.‎ International Journal of Pediatrics, ۵(۳)‎, ۴۵۶۱-۴۵۶۷, ۲۰۱۷.‎
38. Amiri S.‎‎, Movahedi M.‎‎, Kazemi K.‎, Parsaei H.‎‎, ۳D Cerebral MR Image segmentation using Multiple Classifier System, Medical & biological engineering & computing ۵۵ (۳)‎, ۳۵۳-۳۶۴, ۲۰۱۷.‎
39. Zareizadeh, Z.‎, Helfroush M.‎ S.‎, Kazemi K, A New Multiobjective Evolutionary Optimization Algorithm Based on θ-Multiobjective Clonal Selection, Journal of Intelligent & Fuzzy Systems ۳۲ (۳)‎, ۱۶۸۵-۱۶۹۶, ۲۰۱۷.‎
40. Shahvaran Z.‎, Kazemi K.‎, Helfroush M.S.‎, Simultaneous vector-valued image segmentation and intensity nonuniformity correction using variational level set combined with Markov random field modeling.‎ Signal, Image and Video Processing ۱۰ (۵)‎, ۸۸۷-۸۹۳, ۲۰۱۶.‎
41. Noorizadeh N.‎, Kazemi K, Grebe R, Helfroush M.‎ S.‎, Wallois F, Evaluation of anterior fontanel size and area in the newborn using CT images, Journalof Intelligent and Fuzzy Systems ‪(JIFS), ۲۹(۱)‎, ۴۴۳-۴۵۰, ۲۰۱۵.‎
42. Ghofrani F, Helfroush M.S.‎‎, Danyali H, Kazemi K.‎‎, Improving the Performance of Machine Learning Algorithms Using Fuzzy-based Features for Medical X-ray Image Classification, Journalof Intelligent and Fuzzy Systems ‪(JIFS), ۲۷(۶)‎, ۳۱۶۹-۳۱۸۰, ۲۰۱۴.‎
43. Bazrafkan Sh, Kazemi K, Modeling Time Resolved Light Propagation Inside a Realistic Human Head Model, Journal of Biomedical Physics and Engineering (JBPE), ۴(۲)‎, ۴۹-۶۰, ۲۰۱۴.‎‎
44. Kazemi K.‎‎, Amirian M.R.‎‎, Dehghani M.J.‎‎, The S-Transform Using a New Window to Improve Frequency and Time Resolutions.‎‎ Journal of Signal Image and Video Processing (SIViP), ۸(۳)‎ , ۵۳۳-۵۴۱, ۲۰۱۴.‎
45. Noorizadeh N.‎‎, Kazemi K.‎‎, Quantitative Comparison of SPM, FSL, and Brainsuite, Journal of Biomedical Physics and Engineering (JBPE), ۴(۱)‎, ۱۳-۲۶, ۲۰۱۴.‎
46. Jafarian N.‎‎, Kazemi K.‎‎, Abrishami Moghaddam H.‎‎, Grebe R.‎‎, Fournier M.‎‎, Helfroush M.S.‎‎, Wallois F.‎‎, Gondry-Jouet, C.‎‎, Automatic segmentation of newborns' skull and fontanel from CT data using model based variational level set.‎‎ Journal of Signal Image and Video Processing (SIViP), ۸(۲)‎, ۳۷۷-۳۸۷, ۲۰۱۴.‎
47. Kasiri, K.‎‎, Kazemi, K.‎‎, Dehghani, M.J.‎‎ Helfroush, M.S.‎‎, A hybrid hierarchical approach for brain tissue segmentation by combining brain atlas and least square support vector machine.‎‎ Journal of Medical Signals and Sensors, ۳(۴)‎, ۲۳۲-۲۴۳, ۲۰۱۳.‎
48. Noorizadeh N.‎‎, Kazemi K.‎‎, Grebe R.‎‎, Helfroush M.S.‎‎, Mahmoudzadeh M.‎‎, Wallois F.‎‎, A tool to investigate symmetry properties of newborns brain: The newborns’ symmetric brain atlas.‎‎ journal of ISRN Neuroscience, Volume ۲۰۱۳, Article ID ۳۱۷۲۱۵, ۲۰۱۳.‎
49. Amiri S.‎‎, Movahedi M.‎‎, Kazemi K.‎, Parsaei H.‎‎, An automated MRImage segmentation system using multilayer Perceptron neural network.‎‎ journal of Biomedical Physics and Engineering, ۳(۸)‎, ۱۱۵-۱۲۲, ۲۰۱۳.‎
50. Dehaes M.‎, Kazemi K.‎, Pélégrini-Issac M.‎, Grebe R.‎, Benali, H.‎, Wallois F.‎, Quantitative Effect of the Neonatal Fontanel on Synthetic near Infrared Spectroscopy Measurements, Huaman Brain Mapping, ۳۴ (۴)‎, ۸۷۸-۸۸۹.‎, ۲۰۱۳.‎
51. Shahvaran Z.‎, Kazemi K.‎, Helfroush M.S.‎, Jafarian N.‎, Noorizadeh N.‎, Variational level set combined with Markov Random Field modeling for simultaneous intensity non-uniformity correction and segmentation of MR images.‎ Jornal of Neurosci Methods.‎ ۲۰۹ (۲)‎ ۲۸۰-۲۸۹, ۲۰۱۲.‎
52. Ghofrani F, Helfroush M.S.‎, Rashidpour M.‎, Kazemi K.‎, Fuzzy-Based Medical X-ray Image Classification.‎ Journal of Medical Signals and Sensors ۲ (۲)‎, ۱۵-۲۱, ۲۰۱۲.‎
53. Shahvaran Z.‎, Kazemi K.‎, Helfroush M.S.‎, Jafarian N.‎, Region based active contour model based on Markov random field to segment images with intensity non-uniformity and noise.‎ Journal of Medical Signals and Sensors ۲ (۱)‎, ۳۰-۴۱, ۲۰۱۲.‎
54. Abrishami Moghaddam H.‎, Moemeni M.‎, Kazemi K.‎, Grebe R.‎, Wallois F.‎, A survey of neonatal brain atlases based on MR Images.‎ ۲۰۱۲, accepted to be published in Iranian Journal of Biomedical Engineering.‎
55. Mohammadi S.M.‎, Helfroush, M.S.‎, Kazemi, K.‎, Novel shape-texture feature extraction for medical X-ray image Classification.‎ ۲۰۱۲, International Journal of Innovative Computing, Information and Control (IJICIC), ۸ (۱‪(B)‬), ۶۵۹-۶۷۶.‎
56. Kazemi, K.‎, Abrishami Moghaddam, H.‎, Grebe, R.‎, Gondry-Jouet, C.‎, Wallois, F.‎, Design and construction of a brain phantom to simulate neonatal MR images.‎ Computerized Medical Imaging and Graphics, ۳۵ (۳)‎, ۲۳۷-۲۵۰, ۲۰۱۱.‎
57. Tashk, A.‎, Helfroush, M.S.‎, Kazemi, K.‎, A novel fingerprint matcher based on an ergodic ۲-D Hidden Markov Model.‎ International Journal of Electronics and Communications (AEU), ۶۵(۹)‎, ۷۴۲-۷۴۹, ۲۰۱۱.‎
58. Aarabi, A.‎, Kazemi, K.‎, Grebe, R.‎, Abrishami Moghadam, H.‎, Wallois, F.‎, Detection of EEG transients in neonates and older children using a system based on dynamic time-warping template matching and spatial dipole clustering.‎ NeuroImage ۴۸ (۱)‎ ۵۰–۶۲, ۲۰۰۹.‎
59. Kazemi, K.‎, Abrishami Moghaddam, H.‎, Grebe, R.‎, Gondry-Jouet, C.‎, Wallois, F.‎, A neonatal atlas template for spatial normalization of whole-brain Magnetic Resonance Images of newborns: preliminary results.‎ Neuroimage ۳۷(۲)‎, ۴۶۳-۴۷۳, ۲۰۰۷.‎

مقالات ارائه شده در کنفرانس ها

1. Khosravanian A.‎, Kazemi K, Aarabi A, Deep multimodal active contour for automatic ischemic stroke lesion segmentation, ۷^th Iranian Symposium in Brain Mapping, ۲۰۲۳.‎
2. Yaddasht Z.‎, Kazemi K, Danyali H, Aarabi A, Automatic Driver Fatigue Detection using EEG microstate features, ۷^th Iranian Symposium in Brain Mapping, ۲۰۲۳.‎
3. Rezaei A, Khosravanian A.‎, Kazemi K, Danyali H, Aarabi A, Improved Attention U-Net combined with Conditional Random Field for Ischemic Lesion Segmentation from Magnetic Resonance Images.‎ ۳۱^st International Conference on Electrical Engineering, Tehran, Iran, ۲۰۲۳.‎
4. Firouzi H, Ahmadi M, Kazemi K, Helfroush MS, Aarabi A, Deep Convolutional Neural Network for ADHD Classification using resting-state fMRI, ۳۱^st International Conference on Electrical Engineering, Tehran, Iran, ۲۰۲۳.‎
5. Soleimani N, Kazemi K., A, Aarabi A.‎, Helfroush MS.‎, Structural and functional connectivity analysis in cannabis users, Iranian Symposium in Brain Mapping, ۲۰۲۲.‎
6. Fouladivanda, M.‎, Kazemi, K.‎, Danyali, H.‎, Aarabi, A.‎, Joint modeling of structural-functional brain networks in full-term neonates, ۶th Iranian Symposium on Brain Mapping Updates ‪(ISBM)‬, ۲۰۲۲.‎
7. Fouladivanda, M.‎, Kazemi, K.‎, Danyali, H.‎, Aarabi, A.‎, Multiscale Structural Brain Network Analysis in Full-term Neonates, ۴rd Iranian Symposium on Brain Mapping Updates (ISBM), Tehran, Iran, July ۲۰۲۰.‎
8. Fouladivanda, M.‎, Kazemi, K.‎, Danyali, H.‎, Aarabi, A.‎, Structural and Functional Rich Club Organization of the Brain in Full-term Newborns, ۸th International Conference of Cognitive Science, Tehran, Iran, August ۲۰۲۰.‎
9. Ghimatgar, H.‎, Kazemi, K.‎, Helfroush, M.‎ S.‎, Aarabi, A.‎, EEG-based automatic sleep stage classification using a Long Short-Term Memory (LSTM) deep learning network, ۳rd Iranian Symposium on Brain Mapping Updates (ISBM), Tehran, Iran, ۲۰۱۹.‎
10. Khalilian, M.S.‎, Fouladivanda, M.‎, Kazemi, K.‎, Helfroush, M.‎ S.‎, Aarabi, A.‎, Evaluation of the Effect of Multiple b-Values on Topological Properties of Brain Structural Networks at Different Spatial Scales Using Multi-shell Diffusion MRI Data, ۳rd Iranian Symposium on Brain Mapping Updates (ISBM), Tehran, Iran, ۲۰۱۹.‎
11. Jafakesh, S.‎, Kazemi, K.‎, Ekhtiari, H.‎, Helfroush, M.‎ S.‎, Aarabi, A.‎, Reduced small-world but hyper connected in cocaine users: A resting state fMRI study, ۸th Neuroscience Congress, Tehran, Iran, ۲۰۱۹.‎
12. Bazregarzadeh, H.‎, Kazemi, K.‎, Helfroush, M.‎ S.‎, Aarabi, A.‎, A Multi-stream convolutional neural network for fatigue detection using EEG signals, ۸th Neuroscience Congress, Tehran, Iran, ۲۰۱۹.‎
13. Noorizadeh, N.‎, Kazemi, K.‎, Danyali, H.‎, Aarabi, A.‎, A Multi-Atlas Patch-Based Method for Neonatal Brain Extraction, ۸th Neuroscience Congress, Tehran, Iran, ۲۰۱۹.‎
14. Khalilian, M.S.‎, Fouladivanda, M.‎, Kazemi, K.‎, Helfroush, M.‎ S.‎, Aarabi, A.‎, Multi-scale brain structural connectivity analysis using diffusion tensor imaging data, ۷th Neuroscience Congress, Tehran, Iran, ۲۰۱۸.‎
15. Ramezani, F.‎, Kazemi, K.‎, Danyali, H.‎, Aarabi, A.‎, Effect of Brain Tissue Segmentation Errors on EEG Forward Solutions, ۸th Neuroscience Congress, Tehran, Iran, ۲۰۱۸
16. Ghimatgar, H.‎, Kazemi, K.‎, Helfroush, M.‎ S.‎, Aarabi, A.‎, EEG-based sleep stage classification using morphological features and Support Vector Machine, ۶th Neuroscience Congress, Tehran, Iran, ۲۰۱۷.‎
17. Noorizadeh N, Kazemi K, Aarabi, A.‎, Danyali H,  Babajani ­feremi A, An automated multi­atlas based method for brain extraction in neonatal MR images, Human Brain Mapping, ۲۰۱۷.‎
18. Najafi S.‎, Kazemi K.‎, Salehi S.‎, Helfroush M.S.‎, Brain Extraction of Pathological Magnetic Resonance Images, ۴^th Iranian Human Brain Mapping Congress, ۲۰۱۷.‎
19. Ranjbar M.‎, Kazemi K.‎, Khalilian H.‎, Sefidbakht S.‎, Helfroush M.S.‎, Danyali H.‎, Brain Extraction from Whole-Head CT Images using Region Based Active Contour Model, Basic and Clinical Neuroscince Congress, ۲۰۱۶.‎
20. Fouladivanda M.‎, Kazemi K.‎, Helfroush M.S.‎, Adaptive morphology active contour for image segmentation, ۲۴^th Iranian Conference on Electrical Engineering ‪(ICEE)‬, ۹۶۰-۹۶۵, ۲۰۱۶.‎
21. Nouri F.‎, Kazemi K.‎, Danyali H.‎, Salient object detection via global contrast graph, Signal Processing and Intelligent Systems Conference ‪(SPIS)‬, ۹۶۰-۹۶۵, ۲۰۱۵.‎
22. Nouri F.‎, Kazemi K.‎, Danyali H.‎, Graph-based salient object detection using color and edge features, Basic and Clinical Neuroscince Congress, ۲۰۱۵.‎
23. Fouladivanda M.‎, Kazemi K.‎, Helfroush M.S.‎, Brain tissue segmentation using morphological active contour based on combination of global and local intensity information, Basic and Clinical Neuroscince Congress, ۲۰۱۵.‎
24. Shahvaran Z.‎, Kazemi K., Helfroush M.S.‎, A Variational Level set Approch for Vector valued Image Segmentation.‎ ۲nd International Conference on Electrical, Computer, Mechanical and Mechatronics Engineering (ICE۲۰۱۵), Istanbul, Turkey, ۲۰۱۵.‎
25. Shahvaran Z.‎, Kazemi K., Helfroush M.S.‎, Golshaeyan N.‎, Vector-Valued Image Segmentation using Region based active contour.‎ ۲۱^th Iranian Conference on Electrical Engineering (ICEE ۲۰۱۳), Mashhad, Iran, ۲۰۱۳.‎
26. Noorizadeh N.‎, Kazemi K.‎, Grebe R.‎, Helfroush M.S.‎, Mahmoudzadeh M.‎, Golshaeyan N.‎, Wallois F.‎, Symmetric brain atlas template for newborns brain asymmetry studies.‎ ۲۱^th Iranian Conference on Electrical Engineering (ICEE ۲۰۱۳), Mashhad, Iran, ۲۰۱۳.‎
27. Kazemi K.‎, Jafari H.A.‎, Rashidpour M.‎, Helfroush M.S.‎, Golshaeyan N.‎, Grebe R.‎, Wallois F.‎, A realistic high resolution digital phantom of the neonatal brain.‎ Accepted to be presented in  ۱۵^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) workshop on Perinatal and Paediatric Imaging: PaPI ۲۰۱۲.‎
28. Jafarian N.‎, Kazemi, K.‎, Grebe, R.‎, Helfroush, M.S.‎, Dehghani, M.J.‎, Wallois, Automatically Skull and Fontanel Segmentation from CT Data by Model Based Variational Level Set Using Localized Coefficient.‎ International Conference on Signal and Image Processing Applications (ICSIPA ۲۰۱۱), Malysia, ۲۰۱۱.‎
29. Wallois F.‎, Mahmoudzadeh M.‎, Kazemi K.‎, Roche N.‎, Aarabi A.‎, Kongolo G.‎, Goudjil S.‎, Grebe R.‎, Dynamics of the preterm brain through simultaneous EEG-NIRS coregistration.‎ Clinical Neurophysiology, Volume ۱۲۲, Supplement ۱, June ۲۰۱۱, Page S۵۱.‎
30. Kazemi, K.‎, Dehghani, M.J.‎, Amiri, M.R.‎, Energy detection for cognitive radio using S-transform, ۱۹^th Iranian Conference on Electrical Engineering (ICEE ۲۰۱۱), Tehran, Iran, ۲۰۱۱.‎
31. Kasiri, K.‎, Kazemi, K.‎, Dehghani, M.J.‎, Helfroush, M.S.‎, Hierarchical method for brain MRI segmentation based on using atlas information and least square support vector machine, ۱۹^th Iranian Conference on Electrical Engineering (ICEE ۲۰۱۱), Tehran, Iran, ۲۰۱۱.‎
32. Jafarian, N.‎, Kazemi, K.‎, Grebe, R.‎, Helfroush, M.S.‎, Dehghani, M.J.‎, Abrishami-Moghaddam, H.‎, Gondary-Jouet, C.‎, Wallois, Automatic fontanel extraction from newborns' CT-images using a model based level set method.‎ The ۱۷^th Iranian conference on Biomedical Engineering (ICBME), Isfahan, Iran, ۲۰۱۰.‎
33. Kasiri, K.‎, Dehghani, M.J.‎ Kazemi, K.‎, Helfroush, M.S.‎, Kafshgari, S.‎, Comparison evaluation of three brain MRI segmentation methods in software tools.‎ The ۱۷^th Iranian conference on Biomedical Engineering (ICBME), Isfahan, Iran, ۲۰۱۰.‎
34. Kasiri, K.‎, Kazemi, K.‎, DehghaniM.J.‎, Helfroush, M.S.‎, Atlas-based Segmentation of Brain MR Images Using Least Square Support Vector Machines, International Conference on Image Processing Theory, Tools and Applications (IPTA۲۰۱۰), Paris, France, ۲۰۱۰.‎
35. Kazemi, K.‎, Noorizadeh, N.‎, Arab Shahvaran, Z.‎, Abrishami Moghaddam, H.‎, Grebe R.‎, Wallois, F.‎, ۲۰۱۰.‎ constructof probabilistic neoental brain atlas.‎ Iranian Conference on Electrical Engineering (ICEE ۲۰۱۰), Isfahan, Iran, ۲۰۱۰.‎
36. Kazemi, K.‎, S.‎ Gadimi, Lyaghat, A.‎, Tarighati, A.‎, Golshaeyan, N.‎, H.‎ Abrishami Moghaddam, R.‎ Grebe, Gondry-Jouet, C.‎, Wallois, F.‎,.‎ Automatic fontanel extraction from newborn’s CT images using variational level set.‎ ۱۳^th International Conference on Computer Analysis of Images and Patterns, ۲۰۰۹.‎
37. Kazemi, K.‎, S.‎ Gadimi, H.‎ Abrishami Moghaddam, R.‎ Grebe, F.‎ Wallois, N.‎ Golshaeyan, C.‎ Gondry-Jouet.‎ Automatic model based brain and CSF extraction from structural neonatal MR images, ۵۱th Annual Metting of the Organization for Human Brain Mapping, San Francisco, California, ۲۰۰۹.‎
38. Kazemi, K.‎, R.‎ Grebe, H.‎ Abrishami Moghaddam, F.‎ Wallois, C.‎ Gondry-Jouet.‎ Steps toward Simulating Neonatal Magnetic Resonance Imaging System, ۷^th International Symposium on high field MR in clinical applications, Bonn, Germany, ۲۰۰۸.‎
39. Kazemi, K.‎, Grebe, R.‎, Abrishami Moghadam, H.‎, Wallois, F.‎, Gondry Jouet, C.‎, ۲۰۰۸.‎ Steps towards a newborns MRI head atlas and model.‎ Journal of Clinical Neurophysiology, with the proceedings of ۴^th Cuban Congress and ۱st Ibero-American Workshop on Clinical Neurophysiology.‎
40. Kazemi, K.‎, S.‎ Gadimi, H.‎ Abrishami Moghaddam, R.‎ Grebe, F.‎ Wallois, C.‎ Gondry-Jouet.‎ Neonatal probabilistic models for brain, CSF and skull using T۱- MRI data: preliminary results, ۳۰^th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’۲۰۰۸), Vancover, Canada, ۲۰۰۸.‎
41. Gadimi S.‎, Abrishami Moghaddam H.‎, Kazemi, K.‎, R.‎ Grebe, F.‎ Wallois, C.‎ Gondry-Jouet.‎ Segmentation of Scalp and Skull in Neonatal MR Images Using
    Probabilistic Atlas and Level Set Method, ۳۰th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’۲۰۰۸), Vancover, Canada, ۲۰۰۸.‎
42. Kazemi, K.‎, S.‎ Gadimi, H.‎ Abrishami Moghaddam, R.‎ Grebe, F.‎ Wallois, C.‎ Gondry-Jouet.‎ Neonatal Brain, CSF and Skull Probabilistic Models Creation from T۱-weighted MR Images, Submitted, Iranian Conference on Electrical Engineering ‪(ICEE ۲۰۰۸)‬.‎
43. Gadimi, S.‎, Abrishami Moghaddam, H.‎, Grebe R.‎, Wallois F.‎, Giti, M.‎, Kazemi, K.‎, Seid Mostafaei, F.‎, ۲۰۰۸.‎ ۳D scalp and skull surface reconstruction in neonatal brain MRI using the level set method.‎ To be appear on proceeding of ۱۴^th Iranian Conference on Biomedical Engineering ‪(ICBME)‬.‎
44. Kazemi K.‎, Grebe R.‎, Abrishami Moghaddam H.‎, Wallois F.‎, Gondry-Jouet C.‎.‎ Design of a Digital Phantom of the Neonatal Brain.‎ ۲۹th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’۲۰۰۷), Lyon, Frace, Aguest ۲۰۰۷.‎
45. Kazemi K.‎, Grebe R.‎, Abrishami Moghaddam H.‎, Wallois F.‎, Gondry-Jouet C.‎.‎ Design of a Digital Phantom of the Neonatal Brain.‎ ۲۹th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’۲۰۰۷), Lyon, Frace, Aguest ۲۰۰۷.‎

پایان نامه ها

        Supervisor of PhD Thesis    

Mahshid Fouladivanda, (۲۰۲۱)‎    

Titel:  Multi Scale Structural and Resting State Functional Brain Connectivity in Children    

Supervisor: K.‎ Kazemi, Co-Supervisor: Ardalan aarabi ‪(University of Picardie Jules Verne)‬    

Malihe Ahmadi, (۲۰۲۰)‎   

Titel:  Identification and Classification of Brain Functional connectivity Patterns in ADHD Children Using   

Resting State FMRI and EEG Data   

Supervisor: K.‎ Kazemi, Co-Supervisor: Ardalan aarabi ‪(University of Picardie Jules Verne)‬   

Afroz Ghassemi, (۲۰۲۰)‎    

                     Titel:  Image Reconstruction and Intra-voxel Incoherent Motion Parameters Estimation from Fetal Multi b-value Diffusion Weighted Magnetic Resonance Images

Supervisor: K.‎ Kazemi, Co-Supervisor: Sepideh Sefidbakht ‪(Shiraz University of Medicine)‬      

Negar Noorizadeh, (۲۰۱۹)‎     

Titel:  Automatic Segmentation of Newborn and Infant Brain Magnetic Resonance Images with Application     

Supervisor: K.‎ Kazemi, Co-Supervisor: Ardalan aarabi ‪(University of Picardie Jules Verne)‬     

Hojat Ghimatgar, (۲۰۱۹)‎     

Titel: Automatic Sleep-Wake EEG Classification in Newborns and Older Children     

Supervisor: K.‎ Kazemi, Co-Supervisor: Ardalan aarabi ‪(University of Picardie Jules Verne)‬     

Zahra Shahvaran, (۲۰۱۹)‎      

Titel: Automatic Tumor and Brain Tissue Segmentation from Pathologic Cerebral Magnetic Resonance      

Images      

Supervisor: K.‎ Kazemi      

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