PUBLICATIONS

Journal Papers

  1. M. F. Azampour, K. Mach, E. Fatemizadeh et al., “Multitask Weakly Supervised Generative Network for MR-US Registration,” IEEE Transactions on Medical Imaging, vol. –, no. –, pp. –, Early Access, –. 2024. [doi]
  2. M. F. Azampour, M. Tirindelli, J. Lameski, M. Gafencu, E. Tagliabue, E. Fatemizadeh et al., “Anatomy-aware computed tomography-to-ultrasound spine registration,” Medical Physics, vol. 51, no. 3, pp. 2044-2056, Mar. 2024. [doi]
  3. A. Rasti-Meybodi, A. Ghaffari, and E. Fatemizadeh, “Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction,” Neurocomputing, vol. 518 no. pp. 1-14, Jan. 2023. [doi]
  4. R. Karimzadeh, E. Fatemizadeh, H. Arabi and H. Zaidi, “Organ Morphology Loss Function: an approach to enforce deep neural networks to learn shape for medical images segmentation,” J Nuclear Medicine, vol. 63, no. 2, Jun. 2022. [Link]
  5. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “ Identifying brain functional connectivity alterations during different stages of Alzheimer’s disease,” Int J Neuroscience, vol. 132, no. 10, pp. 1005-1013, Oct. 2022. [doi]
  6. A. Ahmadnejad, A. Mahmmodian-Darviishani, M. Mehrdad-Asadi, S. Saffariyeh, P. Yousef, E. Fatemizadeh, “TACNET: Temporal Audio Source Counting Network,” arXiv:2311.02369, Nov. 2023 [Link] [doi]
  7. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “A comparative study of correlation methods in functional connectivity analysis using fMRI data of alzheimer’s patients,” J Biomedical Physics & Engineering, vol. 13, no. 2, pp. 125-134, Mar/Apr. 2023. [Link] [doi]
  8. N. Farahani, Sh. Ghahari, E.Fatemizadeh, and A. M. Nasrabadi, “Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 11, no. 3, pp. 453-466, May. 2022. [doi]
  9.  Abbasi-Asl, A. Ghaffari, and E. Fatemizadeh, “Robust Registration of Medical Images in the Presence of Spatially-Varying Noise,” Algorithms, vol. 15, no. 58, Feb. 2022, [doi]
  10. A. Sadoughi, M. B. Shamsollahi, and E. Fatemizadeh, “Automatic detection of respiratory events during sleep from Polysomnography data using Layered Hidden Markov Model,” Physiol. Meas., vol. 43, no. 1, pp. 015002, Jan. 2022. [doi]
  11. A. Sadoughi, M. B. Shamsollahi, and E. Fatemizadeh, “The Classification of Heartbeats from Two-Channel ECG Signals Using Layered Hidden Markov Model,” Frontiers in Biomedical Technologies, vol. 9, no. 1, pp. 59-67, Dec. 2021. [Link] [doi]
  12. R. Karimzadeh and E. Fatemizadeh, and H. Arabi, “A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging,” arXiv:2203.03336, Mar. 2022 [Link] [doi]
  13. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease,” Signal, Image and Video Processing, vol. 15, pp. 715-723, Jun. 2021. [doi]
  14. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “Deep sparse graph functional connectivity analysis in AD patients using fMRI data,” Computer Methods and Programs in Biomedicine, vol. 201, no. 5, pp. 105954, Apr. 2021. [doi]
  15. A. Sadoughi, M. B. Shamsollahi, E. Fatemizadeh et al., “Detection of Apnea Bradycardia from ECG Signals of Preterm Infants Using Layered Hidden Markov Model,” Ann Biomed Eng., vol. 49, no. 9, pp. 2159-2169, Sep. 2021. [doi]
  16. T. Ghodsizad, H. Behnam,  E. Fatemizadeh et al., “Spatiotemporal registration and fusion of transthoracic echocardiography and volumetric coronary artery tree,” Int J Comput Assist Radiol Surg., vol. 16, no. 9, pp. 1493-1505, Sep. 2021. [doi]
  17. T. Ghodsizad, H. Behnam,  E. Fatemizadeh et al., “Temporal Registration of Cardiac Multimodal Images Using Locally Linear Embedding Algorithm,” Frontiers in Biomedical Technologies, vol. 8, no. 4, pp. 292-303, Nov. 2021. [Link] [doi]
  18. Sh. Ghahari, N. Farahani, E.Fatemizadeh, and A. M. Nasrabadi, “Investigating time-varying functional connectivity derived from the Jackknife Correlation method for distinguishing between emotions in fMRI data,” Cognitive Neurodynamics, vol. 14, no. 4, pp. 457–471, Aug. 2019. [doi]
  19. M. S. Majdi and E. Fatemizadeh, “Laplacian Mixture Model Point Based Registration,” arXiv:2006.12582v1, Jun. 2020 [Link] [doi]
  20. A. Bahrami, A. Karimian,  E. Fatemizadeh, H. Arabi, and H. Zaidi, “A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI,” Medical Physics, vol. 47, no. 10, pp. 5158-5171, oct. 2020 [doi]
  21. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “Multiclass classification of patients during different stages of Alzheimer’s disease using fMRI time-series,” Biomedical Physics & Engineering Express, vol. 6, no. 5, pp. 055022, Aug. 2020. [doi]
  22. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “A comparative study of the effect of weighted or binary functional brain networks in fMRI data analysis,” Frontiers in Biomedical Technologies, vol. 7, no. 3, pp. 159-168, Nov. 2020. [Link]
  23. H. Ahmadi, E. Fatemizadeh, and A. M. Nasrabadi, “Investigation of Non-Linear Functional Connectivity in Alzheimer’s Disease utilizing Resting State fMRI Data and Graph Theory,” Iranian J. Biomedical Engineering, vol. 14, no. 3, pp. 235-249, Oct. 2020. [Link]
  24. I. Mousavian, M. B. Shamsollahi, and E.Fatemizadeh, “Noninvasive Fetal ECG Extraction Using Doubly Constrained Block-Term Decomposition,” Mathematical Biosciences and Engineering, vol. 17, no. 1, pp. 144-159, Sep. 2019. [doi]
  25. Sh. Ghahari, E.Fatemizadeh, and A. M. Nasrabadi, “Studying the Distinction between Emotions in fMRI Data by Using Temporal Network Theory,” Frontiers in Biomedical Technologies, vol. 6, no. 2, pp. 87-93, Jun. 2019. [Link]
  26. N. Farahani, E.Fatemizadeh, and A. M. Nasrabadi, “Using rDCM Method in the Mixed Model in order to Inference Effective Connectivity in Emotions,” Frontiers in Biomedical Technologies, vol. 6, no. 2, pp. 106-113, Jun. 2019. [Link]
  27. Z. Turani, E.Fatemizadeh et al., “Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma,” Cancer Research, vol. 79, no. 8, pp. 2021-2030, April 2019. [doi]
  28. Z. Turani, E.Fatemizadeh et al., “Refractive Index Correction in Optical Coherence Tomography Images of Multilayer Tissues,” Journal of Biomedical Optics, vol. 23, no. 7, pp. 070501-(1-4), July 2018. [doi]
  29. N. Salehi, A. Rahmim, E. Fatemizadeh et al., “Cardiac Contraction Motion Compensation in Gated Myocardial Perfusion SPECT: A Comparative Study,” Physica Medica, vol. 49, pp. 77-82, May 2018. [doi]
  30. A. Shahbabaie, M. Ebrahimpoor, A. Hariri, M. A. Nitsche, J. Hatami, E. Fatemizadeh et al., “Transcranial DC Stimulation Modifies Functional Connectivity of Large-Scale Brain Networks in Abstinent Methamphetamine Users,” Brain and Behavior, vol. 8. no. 3, pp. 1-13, Feb. 2018. [doi]
  31. A. Fotoohinasab, E. Fatemizadeh, H.Pezeshk, and M. Sadeghi, “Denoising of genetic switches based on Parrondo’s paradox,” Physica A, vol. 493, pp. 410-420, Mar. 2018. [doi]
  32. A. Najafi, S. Janghorbani, S. A. Motahari, E. Fatemizadeh, “Statistical Association Mapping of Population-Structured Genetic Data,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16, no. 2, pp. 638-649, March-April 2019. [doi]
  33. N. Sahba, E. Fatemizadeh, H. Behnam, “A Robust Dual Source Level Set Method for Three-Dimensional Echocardiography Image Segmentation,” Journal of Theoretical and Applied Information Technology, vol. 95. no. 21, Nov. 2017. [Link]
  34. M. Afzali, E. Fatemizadeh, and H. Solatanian-Zadeh, “Sparse registration of diffusion-weighted images,” Computer Methods and Programs in Biomedicine, vol. 151, pp. 33-43, Nov. 2017. [doi]
  35. A. Ghaffari and E. Fatemizadeh, “Image Registration based on Low-Rank Matrix: Rank-Regularized SSD,” IEEE Trans. on Medical Imaging, Vol. 39, no. 1, pp. 138-150, Aug. 2017. [doi]
  36. M. R. Mohammadi, E. Fatemizadeh, and M.H. Mahoor, “A joint dictionary learning and regression model for intensity estimation of facial AUs, ” Journal of Visual Communication and Image Representation, vol. 47, pp. 1–9, Aug. 2017. [doi]
  37. S. Adabi, Z. Turani, E. Fatemizadeh, A. Clayton, and M. R. Nasiriavanaki, “Optical Coherence Tomography Technology and Quality Improvement Methods for Optical Coherence Tomography Images of Skin: A Short Review,” Biomedical Engineering and Computational Biology, vol. 2017, no. 8, pp. 1-5, 2017, [doi]
  38. M. R. Mohammadi, E. Fatemizadeh and M. H. Mahoor, “An Adaptive Bayesian Source Separation Method for Intensity Estimation of Facial AUs,” in IEEE Transactions on Affective Computing, vol. 10, no. 2, pp. 144-154, 1 April-June 2019, [doi]
  39. F. ZohourParvaz, E. Fatemizadeh, and H. Behnam, ” Speed Improvement in Graph-Cuts Based Registration for Non-Rigid Image Registration of Brain Magnetic Resonance Images,” Journal Signal and Data Processing, vol. 13, no. 4, pp. 79-92, Mar. 2017. [doi]
  40. N. Sahba, E. Fatemizadeh, and H. Behnam, “An optimized probabilistic edge based level set method for left ventricle segmentation in echocardiography images,” Biomedical Research, vol. 29, no. 8, pp. 3788-3793, [Link]
  41. M. Afzali, A. Ghaffari, E. Fatemizadeh, and H.Solatanian-Zadeh, “Medical image registration using sparse coding of image patches,” Computers in Biology and Medicine, vol. 73, pp. 56-70, June 2016. [doi]
  42. S. M. A. Beheshti, H. A. Noubari, E. Fatemizadeh, and M. Khalili, “Classification of abnormalities in mammograms by new asymmetric fractal features,” Biocybernetics and Biomedical Engineering, vol. 36, no. 1, PP. 56-65, 2016. [doi]
  43. A. Najafi, A. Joudaki, and E. Fatemizadeh, “Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping,” Pattern Analysis and Machine Intelligence, IEEE Tran. on, vol. 38, no. 7, pp. 1452-1464, Jul. 2016. [doi]
  44. A. Afzali, E. Fatemizadeh, and H. Solatanianzadeh, “Interpolation of orientation distribution functions in diffusion weighted imaging using multi-tensor model,” Journal of Neuroscience Methods, vol. 253, pp. 28-37, Sep. 2014. [doi]
  45. A. Ghaffari and E. Fatemizadeh, “RISM: Single-Modal Image Registration via Rank-Induced Similarity Measure,” Image Processing, IEEE Tran. on, vol. 24, no. 12, pp. 5567 – 5580, Oct. 2015. [doi]
  46. N. Alamdari, S. Akbari, and E. Fatemizadeh, “Unsupervised versus Supervised Methods for Categorizing Mental States from fmri Data,” Journal of Medical Devices, vol. 9, no. 2, pp. 020949-1 – 020949-2, Jun. 2015. [doi]
  47. M. R. Mohammadi, E. Fatemizadeh, and M. H. Mahoor, “Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties,” Cybernetics, IEEE Tran. on, vol. 46, no. 3, pp. 817 – 826, April. 2015. [doi]
  48. A. Ghaffari and E. Fatemizadeh, “Robust Huber similarity measure for image registration in the presence of spatially-varying intensity distortion,” Signal Processing , vol. 109, pp. 54–68, April 2015. [doi]
  49. N. Salehi, E. Fatemizadeh et al., “Cardiac Contraction Motion Correction in Gated Myocardial Perfusion SPECT Projection Domain,” Frontiers in Biomedical Technologies, vol. 2, no. 4, pp. 206-213, Dec. 2015. [Link]
  50. N. Amini, E. Fatemizadeh, and H. Behnam, “MRI and PET Image Fusion by Using Curvelet Transform,” Journal of Advances in Computer Research, vol. 5, no. 4, pp. 23–30, Nov. 2014. [Link]
  51. S. M. A. Beheshti, H. AhmadiNoubarin, E. Fatemizadeh, and M. Khalili, “An Efficient Fractal Method for Detection and Diagnosis of Breast Masses in Mammograms,” Journal of Digital Imaging, vol. 27, no. 5, pp. 661–669, Oct. 2014. [doi]
  52. A. Afzali, E. Fatemizadeh, and H. Solatanianzadeh, “High Angular Resolution Diffusion Image Registration,” Journal of Machine Vision and Image Processing, vol. 2, no. 1, pp. 1-9, Spring 2015. [Link]
  53. M. R. Mohammadi, E. Fatemizadeh, and M. H. Mahoor, “Non-negative sparse decomposition based on constrained smoothed ℓ0 norm,” Signal Processing, vol. 100, pp. 42–50, July 2014. [doi]
  54. M. R. Mohammadi, E. Fatemizadeh, and M. H. Mahoor, “PCA-based dictionary building for accurate facial expression recognition via sparse representation,” Journal of Visual Communication and Image Representation, vol. 25, no. 5, pp. 1082–1092, July 2014. [doi]
  55. A. Ghaffari and E. Fatemizadeh, “Sparse-induced similarity measure: mono-modal image registration via sparse-induced similarity measure,” IET Image Processing, 2014. [doi]
  56. N. Amini, E. Fatemizadeh, and H. Behnam, “MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules,” Journal of Medical Engineering & Technology, vol. 38, no. 4, pp. 211–219, May. 2014. [doi]
  57. Z. Ghassabi, J. Shanbehzadeh, A. Sedaghat, E. Fatemizadeh, “An efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors,” EURASIP Journal on Image and Video Processing, vol. 25, Apr. 2013. ِ[doi]
  58. M. Tarjoman, E. Fatemizadeh, and K. Badie, “A Framework for Content-Based Human Brain Magnetic Resonance Images Retrieval Using Saliency Map,” Biomedical Engineering: Applications, Basis and Communications, vol. 25, pp. 1350045.1-1350045.9, Aug. 2013. [doi]
  59. M. M. Khalilzadeh, E. Fatemizadeh, and H. Behnam, “Automatic segmentation of brain MRI in high-dimensional local and non-local feature space based on sparse representation,” Magnetic Resonance Imaging, vol. 31, no. 5, pp. 733-741, Jun. 2013. [doi]
  60. M. Tarjoman, E. Fatemizadeh, and K. Badie, “A Content-Based Approach to Medical Images Retrieval,” International Journal of Healthcare Information Systems and Informatics (IJHISI), vol. 8, pp. 15-27, Apr.-Jun. 2013. [doi]
  61. M. Afzali and E. Fatemizadeh, and H. Soltanian-Zadeh, “Interpolation of Orientation Distribution in High Angular Resolution Diffusion Magnetic Resonance Imaging,” Iranian J. Biomedical Engineering, vol. 7, no. 1, pp. 57-64, Spring 2013. [Link] [doi]
  62. M. Tarjoman, E. Fatemizadeh, and K. Badie, “An implementation of a CBIR system based on SVM learning scheme,” Journal of Medical Engineering & Technology, vol. 37, no. 1, pp. 43–47, Jan. 2013. [doi]
  63. M. M. Khalilzadeh, E. Fatemizadeh, and H. Behnam, “Adaptive Sparse Representation for MRI Noise Removal ” Biomedical Engineering: Applications, Basis and Communications, vol. 24, pp. 1-12, Sep. 2012. [doi]
  64. N. Gholizadeh, S. Akhlaghpoor, H. Soltanian-Zadeh, E. Fatemizadeh, M. R. Alinaghizadeh, A. S. Akhtari et al., “Optimization of Liver Iron Load Assessment by Pixel-Based T2* MRI in Thalassemic Patients,” Open J. Radiology, vol. 2, pp. 46-5, Jun. 2012. [doi]
  65. E. Fatemizadeh and M. Maneshi, “A New Watermarking Algorithm based On Human Visual System for Content Integrity Verification of Region of Interest,” Computing and Informatics,, vol. 31, pp. 877-899, Jul. 2012. [doi]
  66. M. Tarjoman, E. Fatemizadeh, and K. Badie, “An Interactive CBIR System Based on ANFIS Learning Scheme for Human Brain Magnetic Resonance Images Retrieval,” Biomedical Engineering: Applications, Basis and Communications, vol. 24, pp. 27-36, Feb. 2012. [doi]
  67. M. Begol, K. Maghooli, and E. Fatemizadeh, “Fingerprint Liveness Detection based on Contourlet,” Science Series Data Report, vol. 4, pp. 102-106, Apr. 2012.
  68. E. Rezazadeh-Ardabili, K. Maghooli, and E. Fatemizadeh, “Contourlet Features Extraction and AdaBoost Classification for Palmprint Verification,” J. American Science, vol. 7, pp. 353-362, Jul. 2011.
  69. M. Rasooli, S. Ghofrani, and E. Fatemizadeh, “Farsi License Plate Detection based on Element Analysis and Characters Recognition,” Int. J. Signal Processing, Image Processing and Pattern Recognition, vol. 4, pp. 65-80, Mar. 2011.
  70. L. Bahreini, E. Fatemizadeh, and M. Guity, “Diagnostic Efficacy of All Series of Dynamic Contrast Enhanced Breast MR Images Using Gradient Vector Flow (GVF) Segmentation and Novel Border Feature Extraction for Differentiation Between Malignant and Benign Breast Lesions,” Iranian J. Radiology, vol. 7, pp. 225-234, 2010. [Link] [sid]
  71. A. Taalimi and E. Fatemizadeh, “A New Mathematical Approach for Detection of Active Area in Human Brain fMRI Using Nonlinear Model,” Biomedical Engineering: Applications, Basis and Communications, vol. 22, pp. 409–418, Oct. 2010. [doi]
  72. M. Rafi-Nazari and E. Fatemizadeh, “A CBIR System for Human Brain Magnetic Resonance Image Indexing,” Int. J. Computer Applications, vol. 7, no. 14, pp. 33-37, Oct. 2010.
  73. A. Besharat and E. Fatemizadeh, “Using Genetic Algorithm for Optimization of Mammograms Image Compression,” Majlesi J. Electrical Engineering, vol. 4, pp. 7-18, Sep. 2010. [Link] [sid]
  74. E. Fatemizadeh and P. Shooshtari, “ROI-Based 3D Human Brain Magnetic Resonance Images Compression Using Adaptive Mesh Design and Region-Based Discrete Wavelet Transform,” Int. J. Wavelets, Multiresolution and Information Processing, vol. 8, pp. 407-430, 2010. [doi]
  75. A. Taalimi and E. Fatemizadeh, “Activation Detection in fMRI Images using Nonlinear Models: Wiener-Hammerstein and NARMA,” Iranian J. Biomedical Engineering, vol. 4, pp. 231-248, Fall 2010. [Link] [doi]
  76. Yousefi-Rizi, A. Ahmadian, E. Fatemizadeh, J. Alirezaie, and N. Rezaie, “Intrathoracic Airway Tree Segmentation from CT Images Using a Fuzzy Connectivity Method,” Iranian J. Medical Physics, vol. 6, pp. 71-83, Spring 2009. [Link] [doi]
  77. M. Torabi and E. Fatemizadeh, “Alzheimer’s Disease Diagnosis using Nonlinear Weighted T1-MRI Classification,” Iranian J. Biomedical Engineering, vol. 3, pp. 213-226, Fall 2009. [Link] [doi]
  78. F. Yousefi-Rizi, A. Ahmadian, J. Alirezaie, E. Fatemizadeh, and N. Rezaie, “A Robust to Leakage Method for Airway Tree Segmentation Based on Shape Feature Optimization,” Iranian J. Biomedical Engineering, vol. 2, pp. 165-178, Fall 2008. [Link] [doi]
  79. E. Fatemizadeh and P. Shooshtari, “A Selective Three Dimensional Magnetic Resonance Images Compression Method Using Adaptive Mesh Design and Region-Based Wavelet Transform,” Iranian J. Biomedical Engineering, vol. 2, pp. 191-202, Fall 2008. [Link] [dio]
  80. E. Fatemizadeh, C. Lucas, and H. Soltanian-Zadeh, “Automatic landmark extraction from image data using modified growing neural gas network,” Information Technology in Biomedicine, IEEE Transactions on, vol.7, no.2, pp.77-85, June 2003. [doi]
  81. E. Fatemizadeh, C. Lucas, H. Soltanian-Zadeh, and M. R. Hashemi-Golpayegani, “Sensitivity Analysis of Landmarks in Medical Image Registration,” Shaahed Daaneshvar Journal, vol. 9, pp. 33-46, Mar. 2002. [sid]
  82. E. Fatemizadeh, C. Lucas, H. Soltanian-Zadeh, and M. R. Hashemi-Golpayegani, “Local Warping of Medical Images Using Voronoi Images,” Modarres J. Medical Sciences, vol. 5, pp. 101-113, Jun. 2002. [sid]
 
 

Conference Papers

  1. M. Almasganj and E. Fatemizadeh, “Pyramidal deep neural network for classification of retinal OCT images,” 30th National and 8th International Iranian Conference on Biomedical Engineering ICBME), Tehran, Iran, 2023, pp. 381-385. [doi]
  2. M. F. Azampour, Y. Velikova, E. Fatemizadeh, S. P. Dakua, and N. Navab, “Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion,” International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), Singapore, 2023, pp. 111-121. [doi]
  3. Z. Kharazian, M. Rahat, E. Fatemizadeh, A. M. Nasrabadi, “Increasing Safety at Smart Elderly Homes by Human Fall Detection from Video using Transfer Learning Approaches”, 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference, Venice, Italy, 2020, pp. 2774-2780. [doi]
  4. K. Ansarino and E. Fatemizadeh, “Two Convolutional Neural Networks for the rigid and affine registration of two-dimensional CT-MRI images of the human brain,” 29th National and 7th International Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, 2022, pp. 287-292. [doi]
  5. R. Karimzadeh, E. Fatemizadeh, H. Arabi and H. Zaidi, “Topology-based Cost Function: a Novel Approach for Organ Delineation in Medical Images with Deep Learning Methods,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Italy, 2022, pp. 1-3. [doi]
  6. Z. Turani, E. Fatemizadeh et al., “Melanoma detection using quantitative analysis of optical coherence tomography images,” Optical Interactions with Tissue and Cells XXXII; 116400T (2021). [doi]
  7. R. Karimzadeh, N. Rajabi, E. Fatemizadeh and H. Arabi, “3D dilated and residual convolutional neural network for COVID-19 detection from the chest computed tomography,” 28th National and 6th International Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, 2021, pp. 33-37. [doi]
  8. R. Karimzadeh, E. Fatemizadeh, and H. Arabi, “Attention-based deep learning segmentation: Application to brain tumor delineation,”  28th National and 6th International Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, 2021, pp. 248-252. [doi]
  9. R. Karimzadeh, N. Rajabi, A. Khodabakhsh, F. Taghavi, E. Fatemizadeh et al., “X-Net: A Novel Deep Learning Architecture with High-resolution Feature Maps for Image Segmentation,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Piscataway, NJ, USA, 2021, pp. 1-3. [doi]
  10. R. Karimzadeh, E. Fatemizadeh, H. Arabi and H. Zaidi, “Knowledge Distillation: A Strategy to Enhance the Performance of Deep Learning-based Seminal Segmentation,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Piscataway, NJ, USA, 2021, pp. 1-3. [doi]
  11. R. Karimzadeh, E. Fatemizadeh, H. Arabi and H. Zaidi, “Prediction Error Propagation: A Novel Strategy to Enhance Performance of Deep Learning Models in Seminal Segmentation,”  IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Piscataway, NJ, USA, 2021, pp. 1-3. [doi]
  12. H. Hase, M. F. Azampour, M. Tirindelli, M. Paschali, W. Simson, E. Fatemizadeh, and N. Navab, “Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 5534-5541. [doi]
  13. M. R. Rezaei-Dastjerdehei, A. Mijani and E. Fatemizadeh, “Addressing Imbalance in Multi-Label Classification Using Weighted Cross Entropy Loss Function,” 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME), Tehran, Iran, 2020, pp. 333-338. [doi]
  14. A. Bahrami, A. Karimian, E. Fatemizadeh, H. Arabi and H. Zaidi, “A novel convolutional neural network with high convergence rate: Application to CT synthesis from MR images,” IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Manchester, UK, 2019, pp. 1-3. [doi]
  15. Z. Turani, E. Fatemizadeh et al., “Optical Radiomic Signatures Derived from OCT Images to Improve Identification of Melanoma,” Proc. SPIE 11078, Optical Coherence Imaging Techniques and Imaging in Scattering Media III, 110780O, pp. 31-34, 23-27 Jun. 2019. [doi]
  16. Z. Turani, E. Fatemizadeh et al., “Compensation of Refractive Index Variation in Optical Coherence Tomography Images,” Proc. SPIE 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII, 108672W, pp. 123-129, 2-7 Feb. 2019. [doi]
  17. S. Haghparast and E. Fatemizadeh, “A Novel Frame Rate Up-Conversion Method to Decrease Blocking and Blurring Factors using Non-Rigid Image Registration on Medical Videos ,” Biomedical Engineering (ICBME),  22th Iranian and 3rd International Conference of, pp. 1-4, 29-30 Nov. 2018. [doi]
  18. Sh. Akbari, and E. Fatemizadeh, “Effects of Non-Linear Correlation Measures on Brain Functional Connectivity in Parkinson’s Disease,” 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 762-765, 18-21 July, 2018. [doi]
  19. Sh. Akbari, E. Fatemizadeh and R. Deevband, “Functional Brain Networks in Parkinson’s Disease,” 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), pp. 330-333, 30 Nov.-1 Dec., 2017. [doi]
  20. Z. Turani, E. Fatemizadeh and M. Nasiri Avanaki, “Hierarchical Enhancement of Optical Coherence Tomography Images,” 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), pp. 1-4, 30 Nov.-1 Dec., 2017. [doi]
  21. M. Haghir Ebrahim-Abadi and E. Fatemizadeh, “A Clustering-Based Algorithm for De Novo Motif Discovery in DNA Sequences,” 24th National and 2nd International Iranian Conference on Biomedical Engineering (ICBME), pp. 1-6, 30 Nov.-1 Dec., 2017. [doi]
  22. M. Afzali, S. H. Sardouie, E. Fatemizadeh, and H. Soltanian-Zadeh, “Canonical polyadic decomposition for principal diffusion direction extraction in diffusion-weighted imaging,”  Iranian Conference on Electrical Engineering (ICEE), Tehran, pp. 122-127, 2-4 May, 2017. [doi]
  23. Z. Turani, E. Fatemizadeh et al., “Noise reduction in OCT skin images,” Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1013724, pp. 552-557, 13 March 2017. [doi]
  24. M. Almasganj, S. Adabi, E. Fatemizadeh et al., “A spatially-variant deconvolution method based on total variation for optical coherence tomography images,” Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1013725, pp. 558-563, 13 March 2017. [doi]
  25. Z. Turani, E. Fatemizadeh et al., “Refractive Index Correction in Optical Coherence Tomography Images,” The 23rd Iranian Conference on Optics and Photonics (ICOP 2017) and the 9th Iranian Conference on Photonics Engineering and Technology (ICPET 2017), pp. 1133-1136, Jan. 31- Feb. 2, 2017. [Link]
  26. V. Khodadadi, E. Fatemizadeh, and S. K. Setarehdan, “Optimized kalman filter based on second momentum and triple rectangular for cell tracking on sequential microscopic images ,” Biomedical Engineering (ICBME), 2015 22th Iranian Conference of, pp. 251-256, 25-27 Nov. 2015. [doi]
  27. Khodadadi, E. Fatemizadeh, and S. K. Setarehdan, “Overlapped cells separation algorithm based on morphological system using distance minimums in microscopic images,” Biomedical Engineering (ICBME), 22th Iranian Conference of, pp. 263-268, 25-27 Nov. 2015. [doi]
  28. M. S. Majdi and E. Fatemizadeh, “ Laplacian mixture model point based registration,” Machine Vision and Image Processing (MVIP), 2015 9th Iranian Conference on, pp. 57-60, 10-12 Nov. 2015. [doi]
  29. H. M. Kalkhoran and E. Fatemizadeh, “Pain level estimation in video sequences of face using incorporation of statistical features of frames,” Machine Vision and Image Processing (MVIP), 2015 9th Iranian Conference on, pp. 172-175, 10-12 Nov. 2015. [doi]
  30. H. Akbari, H. M. Kalkhoran, and E. Fatemizadeh, “A robust FCM algorithm for image segmentation based on spatial information and Total Variation,” Machine Vision and Image Processing (MVIP), 2015 9th Iranian Conference on, pp. 180-184, 10-12 Nov. 2015. [doi]
  31. F. Taheri-Dezaki, A. Ghaffari, E. Fatemizadeh, “GMWASC: Graph matching with weighted affine and sparse constraints,” Computer Science and Software Engineering (CSSE), 2015 International Symposium on, pp. 1-5, 18-19 Aug. 2015. [doi]
  32. A Hariri, S. Arabshahi, A. Ghafari, and E. Fatemizadeh, “Medical images stabilization using sparse-induced similarity measure,” Pattern Recognition and Image Analysis (IPRIA), 2015 2nd International Conference on, pp. 1-4, March 2015. [doi]
  33. F. Ghaffari-YousefZadeh, E. Fatemizadeh, and M. Pouladian, “Developing, Implementation, and Evaluation of a MRI Simulator Using DWT ” in the 23th Iranian Conference on Electrical Engineering (ICEE’15), May 2014, pp 832-837.
  34. M. Ghalehnovi, E. Zahedi, and E. Fatemizadeh, “Integration of spatial fuzzy clustering with level set for segmentation of 2-D angiogram,” Biomedical Engineering and Sciences (IECBES), 2014 IEEE EMBS Conference on, pp. 309-314, 8-10 Dec. 2014. [doi]
  35. A. Alizadeh, E. Fatemizadeh, and M. R. Deevband, “Investigation of Brain Default Network’s activation in autism spectrum disorders using Group Independent Component Analysis ,” Biomedical Engineering (ICBME), 2014 21th Iranian Conference of, pp. 177-180, 26-28 Nov. 2014. [doi]
  36. H. Aliniazare, H. Behnam, and E. Fatemizadeh, “Echocardiography frames quantification by empirical mode decomposition method,” Biomedical Engineering (ICBME), 2014 21th Iranian Conference of, pp. 201-205, 26-28 Nov. 2014. [doi]
  37. M. Farzi, A. Ghaffari, and E. Fatemizadeh, “Online undersampled dynamic MRI reconstruction using mutual information,” Biomedical Engineering (ICBME), 2014 21th Iranian Conference of, pp. 241-245, 26-28 Nov. 2014. [doi]
  38. M. Afzali, E. Fatemizadeh, and H. Soltanian-Zadeh, “Sparse representation-based super-resolution for diffusion weighted images,” Biomedical Engineering (ICBME), 2014 21th Iranian Conference of, pp. 12-16, 26-28 Nov. 2014. [doi]
  39. M. F. Azampour, A. Ghaffari, A. Hamidi-Nekoo, and E. Fatemizadeh, “Manifold Learning Based Registration Algorithms Applied to Multimodal Images,” Engineering in Medicine and Biology Society, 2014. EMBS 2014. 36th Annual International Conference of the IEEE, pp. 1030-1034, 26-30Aug. 2014. [doi]
  40. Z. Assari, H. Behnam, and E. Fatemizadeh, and Z. Alizadeh-Sani “Automatic Extraction of Cardiac Key Cycles/Frames from Sequence of  Echocardiographic Images, Starting Arbitrary Frame, based on Manifold Learning” in The 22th Iranian Conference on Electrical Engineering (ICEE’14), May 2014, pp 2575-2580.
  41. M. R. Mohammadi, E. Fatemizadeh, and M. H. Mahoor, “Simultaneous recognition of facial expression and identity via sparse representation,” Applications of Computer Vision (WACV), 2014 IEEE Winter Conference on, pp. 1066,1073, 24-26 March 2014. [doi]
  42. S. Khoubani, H. Sh. Nadjar, E. Fatemizadeh, and E. Mohammadi, “A two layer texture modeling based on curvelet transform and spiculated lesion filters for recognizing architectural distortion in mammograms,” Biomedical Engineering (MECBME), 2014 Middle East Conference on, pp. 21-24, 17-20 Feb. 2014. [doi]
  43. S. M. A. Beheshti, H. A. Noubari, E. Fatemizadeh, M. Rezaee, and M. Khalili, “Mammograms enhancement using wavelet transform and piecewise linear and nonlinear coefficient mapping,” Biomedical Engineering (MECBME), 2014 Middle East Conference on , pp. 107-110, 17-20 Feb. 2014. [doi]
  44. S. Tavakoli and E Fatemizadeh, ” Decoding the Long Term Memory Using Weighted Thresholding Union Subspaces Based Classification on Magnetoencephalogram,” Artificial Intelligence and Signal Processing, International Symposium, AISP’13, pp. 164-171, Dec. 2013. [doi]
  45. A. H. Nekoo and E. Fatemizadeh, “Nonrigid Registration of Breast MR Images Using Intensity-Unbiased Force in Variational Motion Estimation,” 1st IEEE EMBS International Students Conference (EMBS ICS’13), pp. ??-??, 8-10 Oct. 2013. Link. Best Paper Awarded.
  46. A. Ghaffari and E. Fatemizadeh, “Mono-modal image registration via corr-entropy measure,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 223-226, 10-12 Sep. 2013. [doi]
  47. M. Afzali, E. Fatemizadeh, and H. Soltanian-Zadeh, “High angular resolution diffusion image registration,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 232-236, 10-12 Sep. 2013. [doi]
  48. A. H. Nekoo, A. Ghaffari, and E. Fatemizadeh, “Nonrigid registration of breast MR images using residual complexity similarity measure,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 241-244, 10-12 Sep. 2013. [doi]
  49. A. Ghaffari and E. Fatemizadeh, “Sparse based similarity measure for mono-modal image registration,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 462-466, 10-12 Sep. 2013. [doi]
  50. A. Oliaee, A. Ghaffari, and E. Fatemizadeh, “MRI image reconstruction via new K-space sampling scheme based on separable transform,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 127-130, 10-12 Sep. 2013. [doi]
  51. N. T. Alamdari and E. Fatemizadeh, “Comparison of classification and dimensionality reduction methods used in fMRI decoding,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 175-179, 10-12 Sep. 2013. [doi]
  52. E. Mohammadi, E. Fatemizadeh, H. Sh. Nadjar, H.; Khoubani, S., “A textural approach for recognizing architectural distortion in mammograms,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 136-140, 10-12 Sep. 2013. [doi]
  53. M. R. Mohammadi and E. Fatemizadeh, “Fuzzy local binary patterns: A comparison between Min-Max and Dot-Sum operators in the application of facial expression recognition,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 315-319, 10-12 Sep. 2013. [doi]
  54. S. Khoubani, E. Fatemizadeh, H. Sh. Nadjar, and E. Mohammadi, “A two layer texture modeling based on curvelet transform and Spectral multi-fractal curvelet  for recognizing architectural distortion in mammograms,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 158-163, 10-12 Sep. 2013.
  55. M. R. Mohammadi and E. Fatemizadeh, and M. H. Mahoor, “Constrained Smoothed ℓ0 norm for Fast Sparse non-negative Solution ,” Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on, pp. 386-390, 10-12 Sep. 2013.
  56. M. R. Mohammadi, E. Fatemizadeh, and M. Mahoor, “Robust Face Recognition in Various Facial Expression Using of  Sparse Representation ” in The 21st Iranian Conference on Electrical Engineering (ICEE’13), pp. 1-6, May 2013.
  57. A. Ghaffari, E. Fatemizadeh, and I. Esmaeili, “Face Recognition Using Combination of  Sparse Representation and Nearest Sub-Space Classifiers,” in The First Iranian Conference on Pattern Recognition and Image Analysis (PRIA’13), pp ??-??, Mar. 2013.
  58. M. Afzali, E. Fatemizadeh, and H. Soltanian-Zadeh, “Interpolation of orientation distribution functions (ODFs) in Q-ball imaging,” Biomedical Engineering (ICBME), 2012 19th Iranian Conference of, pp. 213-217, 20-21 Dec. 2012. [doi]
  59. A. Ghaffari, R. Khorsandi, and E. Fatemizadeh, “Landmark and intensity based image registration using free form deformation,” Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on, pp. 768-771, 17-19 Dec. 2012. [doi]
  60. A. Ghanbari, R. Abbasi-Asl, A. Ghaffari, and E. Fatemizadeh, “Automatic B-spline image registration using histogram-based landmark extraction,” Biomedical Engineering and Sciences (IECBES), 2012 IEEE EMBS Conference on, pp. 1004-1008, 17-19 Dec. 2012. [doi]
  61. N. S. M. Ehteshami, M. Tabandeh, and E. Fatemizadeh, “A new ROI extraction method for FKP images using global intensity,” Telecommunications (IST), 2012 Sixth International Symposium on,  pp. 1147-1150, 6-8 Nov. 2012. [doi]
  62. R. Fouladi, E. Fatemizadeh, and Sh. Arab, “Inference of Gene Regulatory Networks by Extended Kalman Filtering using Gene Expression Time Series Data,” in International Conference on Bioinformatics Models, Methods and Algorithm (BIOINFORMATICS’12), 2012, pp. 150-155. [Link]
  63. H. Karimi and E. Fatemizadeh, “Segmentation of Iris off-Angle Images,” in The 18th Iranian Conference of Biomedical Engineering (ICBME’11), pp. 540-545, Dec. 2011.
  64. M. Afzali, E. Fatemizadeh, and H. Soltanian-Zadeh, “Effect of Different Diffusion Maps on Registration Results,” Machine Vision and Image Processing (MVIP), 2011 7th Iranian, pp. 1-5, 16-17 Nov. 2011. [doi]
  65. R. Abbasi-Asl and E. Fatemizadeh, “MMRO: A Feature Selection Criterion for MR Images Based on Alpha Stable Filter Responses,” Machine Vision and Image Processing (MVIP), 2011 7th Iranian, pp. 1-5, 16-17 Nov. 2011. [doi]
  66. S. Jahani, S. K. Setarehdan, and E. Fatemizadeh, “Automatic Identification of Overlapping/Touching Chromosomes in Microscopic Images Using Morphological Operators,” Machine Vision and Image Processing (MVIP), 2011 7th Iranian, pp. 1-4, 16-17 Nov. 2011. [doi]
  67. E. Atlasi Roshani and E. Fatemizadeh, “Sensitivity Analysis of Landmarks and its Effect on Performance of Image Registration Methods,” Machine Vision and Image Processing (MVIP), 2011 7th Iranian, pp. 1-4, 16-17 Nov. 2011.
  68. M. E. Abbasi-Dezfouli, S. Arab, E. Fatemizadeh, and N. Hosseynimanesh, “Finding protein active sites using approximate sub-graph isomorphism,” Biomedical Engineering (MECBME), 2011 1st Middle East Conference on, pp. 432-435, 21-24 Feb. 2011. [doi]
  69. F. Siyahjani, A. Ghaffari, and E. Fatemizadeh, “Mammogram image retrieval via sparse representation,” Biomedical Engineering (MECBME), 2011 1st Middle East Conference on, pp. 63-66, 21-24 Feb. 2011. [doi]
  70. F. Siyahjani and E. Fatemizadeh, “Content based mammogram image retrieval based on the multiclass visual problem,” Biomedical Engineering (ICBME), 2010 17th Iranian Conference of, pp. 1-4, 3-4 Nov. 2010. [doi]
  71. L. Bahreini, E. Fatemizadeh, and M. Gity, “Gradient vector flow snake segmentation of breast lesions in Dynamic Contrast-Enhanced MR images,” Biomedical Engineering (ICBME), 2010 17th Iranian Conference of, pp. 1-4, 3-4 Nov. 2010. [doi]
  72. R. Khorsandi, E. Fatemizadeh, and A. Heidari, “Nonrigid Multi-Modal Brain Image Registration Using Mutual Information, B-Spline Function – Sensitivity Analysis,” Biomedical Engineering (ICBME), 2010 17th Iranian Conference of, pp. 1-4, 3-4 Nov. 2010.
  73. M. Ramezani, A. Heidari, E. Fatemizadeh, and H. Soltanian-Zadeh, “Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain,” Intelligent and Advanced Systems (ICIAS), 2010 International Conference on, pp. 1-5, 15-17 June 2010. [doi]
  74. M. Akhbari, M. Babaie-Zadeh, E. Fatemizadeh, and C. Jutten, “An entropy based method for activation detection of functional MRI data using Independent Component Analysis,” Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, pp. 2014-2017, 14-19 March 2010. [doi]
  75. M. Ramezani and E. Fatemizadeh, “Comparison of Supervised Classification Methods with Various Data Preprocessing Procedures for Activation Detection in fMRI Data, ” in Data mining in Biomedicine (DMINBIO’09), 2009, pp. 75-83. [doi]
  76. M. Akhbari and E. Fatemizadeh, “Application of independent component analysis for activation detection in functional magnetic resonance imaging (FMRI) data,” Statistical Signal Processing, 2009. SSP ’09. IEEE/SP 15th Workshop on, pp. 129-132, Aug. 31 2009-Sept. 3 2009. [doi]
  77. H. Davoudi, A. Taalimi, and E. Fatemizadeh, “Extracting activated regions of fMRI data using unsupervised learning,” Neural Networks, 2009. IJCNN 2009. International Joint Conference on, pp. 641-645, 14-19 June 2009. [doi]
  78. A. Taalimi, H. Bayati, and E. Fatemizadeh, “Clustering method for fMRI activation detection using optimal number of clusters,” Neural Engineering, 2009. NER ’09. 4th International IEEE/EMBS Conference on, pp. 171-174, April 29 2009-May 2 2009. [doi]
  79. M. Dadgostar, P. R. Tabrizi, E. Fatemizadeh, and H. Soltanian-Zadeh, “Feature Extraction Using Gabor-Filter and Recursive Fisher Linear Discriminant with Application in Fingerprint Identification,” Advances in Pattern Recognition, 2009. ICAPR ’09. Seventh International Conference on, pp. 217-220, 4-6 Feb. 2009. [doi]
  80. S. Ghaedi-Oskooei, M. Dadgostar, G. Rezai Rad, and E. Fatemizadeh, “Adaptive watermarking scheme based on ICA and RDWT,” Crime Detection and Prevention (ICDP 2009), 3rd International Conference on, pp. 1-4, 3-3 Dec. 2009. [doi]
  81. M. Ramezani and E. Fatemizadeh, “Detecting Functional Connectivity in the Resting Brain using Independent Component Analysis,” in 16th Iranian Conference on Biomedical Engineering (ICBME’09), Dec. 2009.
  82. M. Akhbari and E. Fatemizadeh, “Estimating Components of Functional Magnetic Resonance Imaging (fMRI) Data in a Time-Dependent order by Modifying ICA Algorithms,” in The 16th Iranian Conference on Biomedical Engineering (ICBME’09), Dec. 2009.
  83.  A. Tavakol, H. Soltanian-Zadeh, S. Akhlaghpour, and E. Fatemizadeh, “Malignancy Determination of Tumors Using Perfusion MRI,” in International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV ’09), Las Vegas Nevada, USA, 13-16 Jul. 2009, pp. 905-906. [Link]
  84. A. Taalimi and E. Fatemizadeh, “”fMRI activation detection by obtaining BOLD response of extracted balloon parameters with Particle Swarm Optimization,” EUROCON 2009, EUROCON ’09. IEEE, pp. 1437-1442, 18-23 May 2009. [doi]
  85. M. SiyahMansoory, H. Behnam, and E. Fatemizadeh, “Landmark Extraction from Echocardiography Sequence Based on Corner Detection Algorithms Using Product Moment Coefficient Matcher,” in 2009 International Conference on Signal Processing Systems, May 2009, pp. 91-97.
  86. M. SiyahMansoory, H. Behnam, and E. Fatemizadeh, “Automatic Cardiac Motion Quantification by Extracting Landmarks from an Echocardiography Sequence ,” in The 8th International Conference on Applications of Electrical Engineering (AEE ’09) , pp. 159-165, May 2009.
  87. M. SiyahMansoory, H. Behnam, and E. Fatemizadeh, “Landmark Extraction from Echocardiography Sequence Based on Corner Detection Algorithms Using Gradient Vector Matcher,” in International Association of Computer Science and Information Technology – Spring Conference (IACSITSC’09), April 2009, pp. 510-516.
  88. R. Shoja-Ghiass and E. Fatemizadeh, “Illumination and View Invariant Face Detection and Recognition in Images with Complex Background,” Visual Media Production (CVMP 2008), 5th European Conference on, pp. 1-9, 26-27 Nov. 2008. [Link].
  89. R. Shoja-Ghiass and E. Fatemizadeh, “Multi-view face detection and recognition under varying illumination conditions by designing an illumination effect cancelling filter,” Signal Processing Algorithms, Architectures, Arrangements, and Applications (SPA), 2008, pp. 27-32, 25-27 Sept. 2008. [Link].
  90. R. Shoja-Ghiass, E. Fatemizadeh, and F. Marvasti, “Designing an illumination effect canceling filter in facial images for multi-view face detection and recognition in images with complex background,” Telecommunications, 2008. IST 2008. International Symposium on, pp. 809-814, 27-28 Aug. 2008. [doi]
  91. H. Bayati, H. Davoudi, and E. Fatemizadeh, “A heuristic method for finding the optimal number of clusters with application in medical data,” Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pp. 4684-4687, 20-25 Aug. 2008. [doi]
  92. F. Yousefi Rizi, A. Ahmadian, E. Fatemizadeh, and J. Alirezaie, “An optimization based approach embedded in a fuzzy connectivity algorithm for airway tree segmentation,” Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE, pp. 4011-4014, 20-25 Aug. 2008. [doi]
  93. M. Dadgostar, P. Roshani Tabrizi, H. Soltanian-Zadeh, and E. Fatemizadeh, “Fingerprint Recognition Based on Gabor Filter and FLD/RFLD Transformation,” in The 5th Iranian Conference on Machine Vision and Image Processing (MVIP’08), Aug. 2008.
  94. M. Dadgostar, E. Fatemizadeh, and M. B. Shamsollahi, “Fingerprint Recognition Using Gabor Filter and a New Mosaicking Method,” in The 5th Iranian Conference on Machine Vision and Image Processing (MVIP’08), Aug. 2008, pp. 432-437.
  95. M. Khalilzadeh and E. Fatemizadeh, “fMRI Time-Series Classification Using Neural-Gas and Hard C-Means Clustering,” in The 5th Iranian Conference on Machine Vision and Image Processing (MVIP’08), Aug. 2008.
  96. F. Yousefi Rizi, A. Ahmadian, N. Sahba, V. Tavakoli, J. Alirezaie, E. Fatemizadeh et al., “A Hybrid Fuzzy Based Algorithm for 3D Human Airway Segmentation,” Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on, pp. 2295-2298, 16-18 May 2008. [doi]
  97. R. Shoja-Ghiass, N. Sadati, and E. Fatemizadeh, “A New Method for Multi-View and Illumination Variation Face Recognition Using Support Vector Machine,” in The 16th Iranian Conference on Electric Engineering (ICEE’08), May 2008, pp. 262-267.
  98. A. Ansaar, E. Fatemizadeh, and H. Behnam, “Registration of Digital Subtraction Angiography Using Wavelet Transform and Multi-Resolution Processing,” in The 14th Iranian Conference on Biomedical Engineering (ICBME’08), Feb. 2008, pp. 1-10.
  99. M. Torabi and E. Fatemizadeh, “Nonlinear Discrimination of Gray and White Matter Weighted Images for Hierarchial Alzheimer Disease Diagnosis,” in The 14th Iranian Conference on Biomedical Engineering (ICBME’08), Feb. 2008, pp. 108-115.
  100. M. Torabi, H. Moradzadeh, R. Vaziri, S. Razavian, R. D. Ardekani, M. Rahmandoust, et al., “Development of Alzheimer’s Disease Recognition using Semiautomatic Analysis of Statistical Parameters based on Frequency Characteristics of Medical Images,” Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on, pp. 868-871, 24-27 Nov. 2007. [doi]
  101. M. H. Kadbi, E. Fatemizaheh, A. Eslami and M. Khosroshahi, “A new method for colourizing of multichannel MR images based on real colour of human brain,” 15th European Signal Processing Conference, Poznan, Poland, 2007, pp. 449-453.
  102. E. Behnamghader, R. D. Ardekani, M. Torabi and E. Fatemizadeh, “Another Approach to Detection of Abnormalities in MR-Images Using Support Vector Machines,” 5th International Symposium on Image and Signal Processing and Analysis, Istanbul, Turkey, 2007, pp. 98-101 [doi]
  103. S. M. E. Sahraeian and E. Fatemizadeh, “Wavelet-Based 2-D ECG Data Compression Method Using SPIHT and VQ Coding,” EUROCON, 2007. The International Conference on “Computer as a Tool”, pp. 133-137, 9-12 Sep. 2007. [doi]
  104. N. Mohammadiha, B. V. Vahdat, and E. Fatemizadeh, “A Machine Vision Measurement of Steel Villet Camber During Molding Process,” in The Ninth International Conference on Pattern Recognition and Information Processing (PRIP’2007), May 2007.
  105. M. Torabi, H. Moradzadeh, R. Vaziri, R. D. Ardekani, and E. Fatemizadeh, “Multiple Sclerosis Diagnosis Based on Analysis of Subbands of 2-D Wavelet Transform Applied on MR-images,” Computer Systems and Applications, 2007. AICCSA ’07. IEEE/ACS International Conference on, pp. 717-721, 13-16 May 2007. [doi]
  106. M. Dadgostar, E. Fatemizadeh, and M. B. Shamsollahi, “Detection of Reference Point in Fingerprint Using Combination of Complex Filters and Directional Images,” in The 15th Iranian Conference of Electrical Engineering (ICEE’07), May 2007, pp. 25-29.
  107. N. Mohammadi and E. Fatemizadeh, “MS Lesion Extraction from Magnetic Resonance Images,” in The 15th Iranian Conference of Electrical Engineering (ICEE’07), May 2007, pp. 25-29.
  108. O. Sayyadi and E. Fatemizadeh, “A Fast Algorithm for Enhancing Digital Cephalic Radiography Using Mixture Models and Local Gamma Correction based on the Gamma Map Contours,” in The 13th Iranian Conference on Biomedical Engineering (ICBME’07), Feb. 2007.
  109. G. Mohammadi and E. Fatemizadeh, “A New 2D Landmark Extraction Approach Based on Covariance of Intensity Variation in a Mask ,” in The 13th Iranian Conference on Biomedical Engineering (ICBME’07), Feb. 2007.
  110. G. Mohammadi and E. Fatemizadeh, “A New 2D Corner Detector for Extracting Landmarks from Brain MR Images ,” in International Symposium on Signal Processing and its Application(ISSPA2007), Jan. 2007.
  111. S. Parvaneh, E. Fatemizadeh, and H. Behnam, “Optimizing Entropy-based Thresholding Speed Using Particle Swarm Optimization (PSO),” in The 4th Iranian Conference of Machine Vision and Image Processing (MVIP’07), Feb. 2007.
  112. R. D. Ardekani, M. Torabi, and E. Fatemizadeh, “Breast Cancer Diagnosis and Classification in MR-images using Multi-stage classifier,” Biomedical and Pharmaceutical Engineering, 2006. ICBPE 2006. International Conference on, pp. 84-87, 11-14 Dec. 2006. [Link].
  113. M. Torabi, R. D. Ardekani, and E. Fatemizadeh, “Discrimination between alzheimer’s disease and control group in MR-images based on texture analysis using artificial neural network,” Biomedical and Pharmaceutical Engineering, 2006. ICBPE 2006. International Conference on, pp. 79-83, 11-14 Dec. 2006. [Link].
  114. S. Parvaneh, E. Fatemizadeh, and H. Behnam, “MS Lesion Detection Using Hybrid Method,” in Cairo International Biomedical Engineering Conference (CIBEC’06), Dec. 2006, pp. 1-3.
  115. L. Amini, H. Soltanian-Zadeh, E. Fatemizadeh, and G. Hosseinzadeh, “Automatic Landmark Generation for Nonlinear Registration of Anatomical and Functional Brain MRI ” in Cairo International Biomedical Engineering Conference (CIBEC’06), 2006, pp. 1-3.
  116. M. Eslami and E. Fatemizadeh, “Edge Sensitive Block Motion Estimation Employing Partial Ridgelet Distortion Search,” Signal Processing and Information Technology, 2006 IEEE International Symposium on, pp. 902-907, Aug. 2006. [doi]
  117. A. Emadi and E. Fatemizadeh, “An Adaptive Method for Steganography Using Wavelet Transform,” in The 14th Iranian Conference on Electrical Engineering (ICEE’06), 2006, pp. 1-6.
  118. S. Parvaneh, E. Fatemizadeh, and H. Behnam, “MS Lesion Detection Using a Novel Approach Combined with Entropy Based Thresholding.,” in The 14th Iranian Conference on Electrical Engineering (ICEE’06), 2006, pp. 1-6.
  119. A. Azimi and E. Fatemizadeh, “The Iterative Closest Point based on thin Plate Spline in Monomodal Image Registration,” The 4th International Conference on Computer Science and its Applications (ICCSA02006), Jun. 2006.
  120. E. Nezhadarya, M. B. Shamsollahi, and E. Fatemizadeh, “MRI Denoising Using Sureshrink in Contourlet Space,” in The 12th International Conference on Biomedical Engineering (ICBME 2005), Singapore, Dec. 2005.
  121. J. Hashemi and E. Fatemizadeh, “Biometric Identification through Hand Geometry,” Computer as a Tool, 2005. EUROCON 2005.The International Conference on, pp. 1011-1014, 21-24 Nov. 2005. [doi]
  122. N. Naadvar and E. Fatemizadeh, “Patients Private Data Hiding Within ECG Signals,” in The 12 th Iranian Conference on Biomedical Engineering (ICBME’05), Oct. 2005, pp. 256-264.
  123. J. Hashemi and E. Fatemizadeh, “Human Authentication Using Hand Geometry,” in The 12 th Iranian Conference on Biomedical Engineering (ICBME’05), Oct. 2005, pp. 120-125.
  124. P. J. M. Fard, M. Vafadoust, S. Parvaneh, and E. Fatemizadeh, “A New Method for Eye Movement Tracking,” in The 12 th Iranian Conference on Biomedical Engineering (ICBME’05), Oct. 2005, pp. 326-333.
  125. P. Mortazavian, M. Jahangiri, and E. Fatemizadeh, “A Combinational Technics for Medical Imges Watermarking and Steganography,” in The Third Conference on Machine Vision, Image Processing and Applications (MVIP’05), Tehran-Iran, Feb. 2005, pp. 415-421.
  126. S. Shobeihi and E. Fatemizadeh, “Medical Image Enhancement using Modified MultiScale Retinex Algorithm,” in The Third Conference on Machine Vision, Image Processing and Application (MVIP’05), Feb. 2005, pp. 400-407.
  127. P. Mortazavian, M. Jahangiri, and E. Fatemizadeh, “A Low Degradation Steganography Model For Data Hiding In Medical Images,” in Fourht IASTED International Conference Visualization, Imaging, and Image Processing, 2004, pp. 914-920.
  128. E. Fatemizadeh, C. Lucas, H. Soltanian-Zadeh, and M. R. H. Golpayegani, “Local Warping of Medical Images Using Elliptic Basis Function,” in The 7th Annual Computer Society of Iran Computer Conference, 2002, pp. 300-308.
  129. E. Fatemizadeh, C. Lucas, H. Soltanian-Zadeh, and M. R. H. Golpayegani, “Multiple Precision Landmark Extraction for Medical Images with Growing Cellular Neural Network,” in The 7th Annual Computer Society of Iran Computer Conference, 2002, pp. 309-317.
  130. E. Fatemizadeh, C. Lucas, H. Soltanian-Zadeh, and M. R. H. Golpayegani, “A New Method for Local Warping of Magnetic Resonance Images Using Voronoi Image,” in The 9th Iranian Conference on Biomedical Engineering (ICBME’00), 2000, pp. 510-514.
  131. E. Fatemizadeh, C. Lucas, H. Soltanian-Zadeh, and M. R. H. Golpayegani, “Automatic Landmark Extraction from MRI using Growing Neural Gas Model,” in The 7th Iranian Conference on Electrical Engineering (ICEE’99), 1999, pp. 151-158.
  132. E. Fatemizadeh and C. Lucas. (1999, 11 Nov. 1999). Local Warping of Human Brain MR Images Using MLP Neural Networks. One Day Seminar on Medical Image processing.
  133. E. Fatemizadeh and C. Lucas. (1999, 30 Nov. – 4 Dec. 1999). Automatic Landmarks Extraction for Non-Ordered Points. 2nd Irano-Armenian Workshop on Neural Networks.
  134. E. Fatemizadeh and C. Lucas, “Priority Setting for Feature Vector Components with Genetic Algorithms,” in International Conference on Intelligent and Cognitive Systems, 1997, pp. 98-102.
  135. E. Fatemizadeh, M. R. H. Golpayegani, and M. Zardoshti, “Velocity Profile Modeling of Human Writing Using DCT Transform,” presented at the Third Electronics Conference, 1996.
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