E. Fatemizadeh

发表

Clustering method for fMRI activation detection using optimal number of clusters

Emad Fatemizadeh, Hamidreza Bayati, Ali Taalimi, 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

Fuzzy local binary patterns: A comparison between Min-Max and Dot-Sum operators in the application of facial expression recognition

M. Mohammadi, E. Fatemizadeh, 2013, 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP).

Addressing Imbalance in Multi-Label Classification Using Weighted Cross Entropy Loss Function

E. Fatemizadeh, M. Rezaei-Dastjerdehei, A. Mijani, 2020, 2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME).

Identifying brain functional connectivity alterations during different stages of Alzheimer’s disease

E. Fatemizadeh, Hessam Ahmadi, A. Motie-Nasrabadi, 2020, The International journal of neuroscience.

Transcranial DC stimulation modifies functional connectivity of large‐scale brain networks in abstinent methamphetamine users

M. Nitsche, E. Fatemizadeh, H. Ekhtiari, 2018, Brain and behavior.

An optimization based approach embedded in a fuzzy connectivity algorithm for airway tree segmentation

E. Fatemizadeh, A. Ahmadian, J. Alirezaie, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Cardiac Contraction Motion Correction in Gated Myocardial Perfusion SPECT Projection Domain

M. Ay, E. Fatemizadeh, M. Farahani, 2015 .

Cardiac contraction motion compensation in gated myocardial perfusion SPECT: A comparative study.

A. Rahmim, M. Ay, S. Farzanefar, 2018, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma.

Wei Chen, Mohammadreza Nasiriavanaki, Emad Fatemizadeh, 2019, Cancer research.

Multiclass classification of patients during different stages of Alzheimer’s disease using fMRI time-series

E. Fatemizadeh, Hessam Ahmadi, A. Motie-Nasrabadi, 2020, Biomedical physics & engineering express.

Edge Sensitive Block Motion Estimation Employing Partial Ridgelet Distortion Search

E. Fatemizadeh, M. Eslami, 2006, 2006 IEEE International Symposium on Signal Processing and Information Technology.

Mammograms enhancement using wavelet transform and piecewise linear and nonlinear coefficient mapping

E. Fatemizadeh, H. A. Noubari, M. Rezaee, 2014, 2nd Middle East Conference on Biomedical Engineering.

Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data

E. Fatemizadeh, A. Nasrabadi, A. Motie Nasrabadi, 2022, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

FMRI Functional Connectivity Evaluation in Alzheimer’s Stages: Linear and Non-Linear Approaches

E. Fatemizadeh, A. Nasrabadi, Hessam Ahmadi, 2021 .

USING GENETIC ALGORITHM FOR OPTIMIZATION OF MAMMOGRAMS IMAGE COMPRESSION

E. Fatemizadeh, Aynaz Besharat, 2010 .

Knowledge Distillation: A Strategy to Enhance the Performance of Deep Learning-based Seminal Segmentation

H. Zaidi, E. Fatemizadeh, Reza Karimzadeh, 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Prediction Error Propagation: A Novel Strategy to Enhance Performance of Deep Learning Models in Seminal Segmentation

H. Zaidi, Hossein ARABI, E. Fatemizadeh, 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

X-Net: A Novel Deep Learning Architecture with High-resolution Feature Maps for Image Segmentation

H. Zaidi, Hossein ARABI, E. Fatemizadeh, 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).

Deep sparse graph functional connectivity analysis in AD patients using fMRI data

Emad Fatemizadeh, Ali Motie Nasrabadi, Hessam Ahmadi, 2021, Comput. Methods Programs Biomed..

A Comparative Study of Correlation Methods in Functional Connectivity Analysis Using fMRI Data of Alzheimer’s Patients

E. Fatemizadeh, Hessam Ahmadi, A. Motie-Nasrabadi, 2023, Journal of biomedical physics & engineering.

A Comparative Study of the Effect of Weighted or Binary Functional Brain Networks in fMRI Data Analysis

Emad Fatemizadeh, Ali Motie Nasrabadi, Hesam Ahmadi, 2020, Frontiers in Biomedical Technologies.

A Content-Based Approach to Medical Images Retrieval

Emad Fatemizadeh, Kambiz Badie, Mana Tarjoman, 2013, Int. J. Heal. Inf. Syst. Informatics.

Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties

Mohammad Reza Mohammadi, Mohammad H. Mahoor, Emad Fatemizadeh, 2016, IEEE Transactions on Cybernetics.

Statistical Association Mapping of Population-Structured Genetic Data

Seyed Abolfazl Motahari, Emad Fatemizadeh, Amir Najafi, 2016, bioRxiv.

A heuristic method for finding the optimal number of clusters with application in medical data

Emad Fatemizadeh, Heydar Davoudi, Ḥ. Bayātī, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping

Amir Najafi, Emad Fatemizadeh, Amir Joudaki, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Denoising of genetic switches based on Parrondo’s paradox

Emad Fatemizadeh, Hamid Pezeshk, Mehdi Sadeghi, 2018 .

Investigation of Brain Default Network's activation in autism spectrum disorders using Group Independent Component Analysis

E. Fatemizadeh, M. Deevband, Arezoo Alizadeh, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

Application of independent component analysis for activation detection in functional magnetic resonance imaging (FMRI) data

Emad Fatemizadeh, Mahsa Akhbari, E. Fatemizadeh, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Non-negative sparse decomposition based on constrained smoothed ℓ0 norm

Mohammad Reza Mohammadi, Mohammad H. Mahoor, Emad Fatemizadeh, 2014, Signal Process..

Optical radiomic signatures derived from OCT images to improve identification of melanoma

Zahra Turani, Emad Fatemizadeh, Tatiana Blumetti, 2019, European Conference on Biomedical Optics.

Optical Coherence Tomography Technology and Quality Improvement Methods for Optical Coherence Tomography Images of Skin: A Short Review

Mohammadreza Nasiriavanaki, Emad Fatemizadeh, Zahra Turani, 2017, Biomedical engineering and computational biology.

A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI.

Habib Zaidi, Hossein Arabi, Emad Fatemizadeh, 2020, Medical physics.

fMRI functional connectivity analysis via kernel graph in Alzheimer’s disease

Emad Fatemizadeh, Ali Motie Nasrabadi, Hessam Ahmadi, 2020, Signal, Image and Video Processing.

An implementation of a CBIR system based on SVM learning scheme

Emad Fatemizadeh, Kambiz Badie, Mana Tarjoman, 2013, Journal of medical engineering & technology.

PCA-based dictionary building for accurate facial expression recognition via sparse representation

Mohammad Reza Mohammadi, E. Fatemizadeh, M. R. Mohammadi, 2014, J. Vis. Commun. Image Represent..

A LOW-DEGRADATION STEGANOGRAPHY MODEL FOR DATA HIDING IN MEDICAL IMAGES

E. Fatemizadeh, M. Jahangiri, Pouria Mortazavian, 2004 .

Feature Extraction Using Gabor-Filter and Recursive Fisher Linear Discriminant with Application in Fingerprint Identification

Hamid Soltanian-Zadeh, Emad Fatemizadeh, Pooneh R. Tabrizi, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.

Spatiotemporal registration and fusion of transthoracic echocardiography and volumetric coronary artery tree

Hamid Behnam, Emad Fatemizadeh, Talayeh Ghodsizad, 2021, International Journal of Computer Assisted Radiology and Surgery.

Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning pdf

Nassir Navab, Emad Fatemizadeh, Walter Simson, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

ADAPTIVE SPARSE REPRESENTATION FOR MRI NOISE REMOVAL

Hamid Behnam, Emad Fatemizadeh, Mohammad Mahdi Khalilzadeh, 2012 .

An entropy based method for activation detection of functional MRI data using Independent Component Analysis

Christian Jutten, Massoud Babaie-Zadeh, Emad Fatemizadeh, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Using rDCM Method in the Mixed Model in order to Inference Effective Connectivity in Emotions

Ali Motie Nasrabadi, Emad Fatemizadeh, Naemeh Farahani, 2019, Frontiers in Biomedical Technologies.

Investigating time-varying functional connectivity derived from the Jackknife Correlation method for distinguishing between emotions in fMRI data

E. Fatemizadeh, A. Motie Nasrabadi, Naemeh Farahani, 2020, Cognitive Neurodynamics.

Multiple Sclerosis Diagnosis Based on Analysis of Subbands of 2-D Wavelet Transform Applied on MR-images

Emad Fatemizadeh, Reza Dehestani Ardekani, Meysam Torabi, 2007, 2007 IEEE/ACS International Conference on Computer Systems and Applications.

A joint dictionary learning and regression model for intensity estimation of facial AUs

Mohammad Reza Mohammadi, Mohammad H. Mahoor, Emad Fatemizadeh, 2017, J. Vis. Commun. Image Represent..

A new ROI extraction method for FKP images using global intensity

N. S. M. Ehteshami, M. Tabandeh, E. Fatemizadeh, 2012, 6th International Symposium on Telecommunications (IST).

An Adaptive Bayesian Source Separation Method for Intensity Estimation of Facial AUs

Mohammad Reza Mohammadi, Mohammad H. Mahoor, Emad Fatemizadeh, 2019, IEEE Transactions on Affective Computing.

Two Convolutional Neural Networks for the rigid and affine registration of two-dimensional CT-MRI images of the human brain

E. Fatemizadeh, Keyvan Ansarino, 2022, 2022 29th National and 7th International Iranian Conference on Biomedical Engineering (ICBME).

An Efficient Fractal Method for Detection and Diagnosis of Breast Masses in Mammograms

Emad Fatemizadeh, M. Khalili, S. M. A. Beheshti, 2014, Journal of Digital Imaging.

An efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors

Jamshid Shanbehzadeh, Emad Fatemizadeh, Amin Sedaghat, 2013, EURASIP J. Image Video Process..

A NEW MATHEMATICAL APPROACH FOR DETECTION OF ACTIVE AREA IN HUMAN BRAIN fMRI USING NONLINEAR MODEL

Emad Fatemizadeh, Ali Taalimi, A. Taalimi, 2010 .

ACTIVATION DETECTION IN FMRI IMAGES USING NONLINEAR MODELS: WIENER-HAMMERSTEIN AND NARMA

Emad Fatemizadeh, Ali Taalimi, A. Taalimi, 2010 .

MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules

Hamid Behnam, Nasrin Amini, H. Behnam, 2014, Journal of medical engineering & technology.

Multispectral Palmprint Recognition Using a Hybrid Feature pdf

Shervin Minaee, Emad Fatemizadeh, Sina Akbari Mistani, 2011, ArXiv.

MRI and PET Image Fusion by Using Curvelet Transform

Hamid Behnam, Emad Fatemizadeh, Nasrin Amini, 2014 .

RISM: Single-Modal Image Registration via Rank-Induced Similarity Measure

Emad Fatemizadeh, Aboozar Ghaffari, E. Fatemizadeh, 2015, IEEE Transactions on Image Processing.

Emad Fatemizadeh, Aboozar Ghaffari, E. Fatemizadeh, 2015, Signal Process..

Sparse-induced similarity measure: mono-modal image registration via sparse-induced similarity measure

Emad Fatemizadeh, Aboozar Ghaffari, E. Fatemizadeh, 2014, IET Image Process..

Noninvasive fetal ECG extraction using doubly constrained block-term decomposition.

Mohammad Bagher Shamsollahi, Emad Fatemizadeh, Iman Mousavian, 2019, Mathematical biosciences and engineering : MBE.

Inference of Gene Regulatory Networks by Extended Kalman Filtering using Gene Expression Time Series Data

E. Fatemizadeh, S. Arab, Ramouna Fouladi, 2012, BIOINFORMATICS.