E. Fatemizadeh

发表

Gradient vector flow snake segmentation of breast lesions in Dynamic Contrast-Enhanced MR images

M. Gity, L. Bahreini, E. Fatemizadeh, 2010, 2010 17th Iranian Conference of Biomedical Engineering (ICBME).

A Hybrid Fuzzy Based Algorithm for 3D Human Airway Segmentation

J. Alirezaie, E. Fatemizadeh, F. Rizi, 2008, International Conferences on Biomedical and Bioinformatics Engineering.

Pain level estimation in video sequences of face using incorporation of statistical features of frames

Hamed Mohebbi Kalkhoran, E. Fatemizadeh, 2015, 2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP).

Medical images stabilization using sparse-induced similarity measure

A. Hariri, E. Fatemizadeh, Soroush Arabshahi, 2015, 2015 2nd International Conference on Pattern Recognition and Image Analysis (IPRIA).

A NEW 2D CORNER DETECTOR FOR EXTRACTING LANDMARKS FROM MEDICAL IMAGES

E. Fatemizadeh, Gelareh Mohammadi, 2006 .

Overlapped cells separation algorithm based on morphological system using distance minimums in microscopic images

S. Setarehdan, E. Fatemizadeh, V. KHodadadi, 2015, 2015 22nd Iranian Conference on Biomedical Engineering (ICBME).

Optimized kalman filter based on second momentum and triple rectangular for cell tracking on sequential microscopic images

S. Setarehdan, E. Fatemizadeh, V. KHodadadi, 2015, 2015 22nd Iranian Conference on Biomedical Engineering (ICBME).

A New 2D Corner Detector for Extracting Landmarks from Brain MR Images

E. Fatemizadeh, Gelareh Mohammadi, 2007 .

Spectral clustering approach with sparsifying technique for functional connectivity detection in the resting brain

H. Soltanian-Zadeh, Mahdi Ramezani, E. Fatemizadeh, 2010, 2010 International Conference on Intelligent and Advanced Systems.

Canonical polyadic decomposition for principal diffusion direction extraction in diffusion weighted imaging

H. Soltanian-Zadeh, E. Fatemizadeh, M. Afzali, 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

Sparse representation-based super-resolution for diffusion weighted images

H. Soltanian-Zadeh, E. Fatemizadeh, M. Afzali, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

Sparse registration of diffusion weighted images

Hamid Soltanian-Zadeh, Emad Fatemizadeh, Maryam Afzali, 2017, Comput. Methods Programs Biomed..

High angular resolution diffusion image registration

Hamid Soltanian-Zadeh, Emad Fatemizadeh, Maryam Afzali, 2013, 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP).

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

Emad Fatemizadeh, Leila Bahreini, L. Bahreini, 2010 .

Gradient Vector Flow Snake Segmentation of Breast Lesions in Dynamic Contrast-Enhance d

Emad Fatemizadeh, Masoumeh Gity, Leila Bahreini, 2010 .

Discrimination between alzheimer's disease and control group in MR-images based on texture analysis using artificial neural network

E. Fatemizadeh, M. Torabi, R.D. Ardekani, 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

Integration of spatial fuzzy clustering with level set for segmentation of 2-D angiogram

E. Zahedi, M. Ghalehnovi, E. Zahedi, 2014, 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).

A two layer texture modeling based on curvelet transform and spiculated lesion filters for recognizing architectural distortion in mammograms

Emad Fatemizadeh, Elham Mohammadi, Sahar Khoubani, 2014, 2nd Middle East Conference on Biomedical Engineering.

Plug and play augmented HQS: Convergence analysis and its application in MRI reconstruction

E. Fatemizadeh, A. Ghaffari, Arash Rasti-Meymandi, 2022, Neurocomputing.

Image Registration Based on Low Rank Matrix: Rank-Regularized SSD

Emad Fatemizadeh, Aboozar Ghaffari, E. Fatemizadeh, 2018, IEEE Transactions on Medical Imaging.

Another Approach to Detection of Abnormalities in MR-Images Using Support Vector Machines

Emad Fatemizadeh, Ehsan Behnamghader, Reza Dehestani Ardekani, 2007, 2007 5th International Symposium on Image and Signal Processing and Analysis.

Refractive index correction in optical coherence tomography images of multilayer tissues.

Mohammad Reza Nasiri Avanaki, E. Fatemizadeh, Z. Turani, 2018, Journal of biomedical optics.

Automatic landmark extraction from image data using modified growing neural gas network

Hamid Soltanian-Zadeh, Emad Fatemizadeh, Caro Lucas, 2003, IEEE Transactions on Information Technology in Biomedicine.

Breast Cancer Diagnosis and Classification in MR-images using Multi-stage classifier

E. Fatemizadeh, M. Torabi, R.D. Ardekani, 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

Robust Registration of Medical Images in the Presence of Spatially-Varying Noise

E. Fatemizadeh, A. Ghaffari, R. Abbasi-Asl, 2017, Algorithms.

A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging

E. Fatemizadeh, Reza Karimzadeh, H. Arabi, 2022, ArXiv.