M. Pooyan

Mohammad Pooyan, Alireza Fallahi, Mohammad-Reza Nazem-Zadeh, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

SEGMENTATION OF UTERINE FIBROID ON MR IMAGES BASED ON CHAN–VESE LEVEL SET METHOD AND SHAPE PRIOR MODEL

Mohammad Pooyan, Alireza Fallahi, Hassan Khotanlou, 2014 .

Left Ventricle Volume Measurement on Short Axis MRI Images Using a Combined Region Growing and Superellipse Fitting Method

Mostafa Ghelich Oghli, M. Pooyan, V. Dehlaghi, 2013 .

Investigating the Effect of Computer Games on the Heart Signal

M. Pooyan, L. Haghshenas, 2019, 2019 27th Iranian Conference on Electrical Engineering (ICEE).

Identification of effective features of LFP signal for making closed-loop deep brain stimulation in parkinsonian rats

M. Pooyan, M. Roghani, Sana Amoozegar, 2021, Medical & Biological Engineering & Computing.

Identification of voice disorders using long-time features and support vector machine with different feature reduction methods.

Mohammad Pooyan, Meisam Khalil Arjmandi, Mohammad Mikaili, 2011, Journal of voice : official journal of the Voice Foundation.

A novel approach for extracting functional brain networks involved in mesial temporal lobe epilepsy based on self organizing maps

M. Pooyan, M. Nazem-Zadeh, A. Fallahi, 2022, Informatics in Medicine Unlocked.

Identification of effective features of LFP signal for making closed-loop deep brain stimulation in parkinsonian rats

Mohammad Pooyan, Sana Amoozegar, Mehrdad Roghani, 2021, Medical & Biological Engineering & Computing.

Toward a closed-loop deep brain stimulation in Parkinson's disease using local field potential in parkinsonian rat model.

Mohammad Pooyan, Sana Amoozegar, Mehrdad Roughani, 2019, Medical hypotheses.

ECG SIGNALS NOISE REMOVAL: SELECTION AND OPTIMIZATION OF THE BEST ADAPTIVE FILTERING ALGORITHM BASED ON VARIOUS ALGORITHMS COMPARISON

Mohammad Pooyan, Ahmad Bijar, Sahar Jahani, 2015 .

Early detection of sudden cardiac death by using classical linear techniques and time-frequency methods on electrocardiogram signals

Mohammad Pooyan, Elias Ebrahimzadeh, M. Pooyan, 2011 .

Dynamic Modeling of the Effectiveness of Third Wave Cognitive Behavioral Therapy and Antidepressants Drugs on Major Depressive Disorder.

M. Pooyan, A. Valizadeh, A. Moradi, 2019 .

Facial expression recognition using image orientation field in limited regions and MLP neural network

Mohammad Pooyan, Syed Abdul Rahman Abu-Bakar, Seyed Omid Shahdi, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Dynamic modeling of major depressive disorder: Calculating the rate of occurrence and recurrence

M. Pooyan, Alireza Valizadeh, A. Moradi, 2020 .

Uterine Segmentation and Volume Measurement in Uterine Fibroid Patients’ MRI Using Fuzzy C-Mean Algorithm and Morphological Operations

Mohammad Pooyan, Alireza Fallahi, Hassan Khotanlou, 2011, Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society.

Detection of vocal disorders based on phase space parameters and Lyapunov spectrum

Mohammad Pooyan, Meisam Khalil Arjmandi, Hamzeh Ghasemzadeh, 2015, Biomed. Signal Process. Control..

Modeling the gait of normal and Parkinsonian persons for improving the diagnosis

Mohammad Pooyan, Shahriar Gharibzadeh, Yashar Sarbaz, 2012, Neuroscience Letters.

A Novel Method for Left Ventricle Volume Measurement on Short Axis MRI Images Based on Deformable Superellipses

Mohammad Pooyan, Alireza Fallahi, Mostafa Ghelich Oghli, 2012, SPIT.

3-D heart segmentation on CT images using superellipsoid model fitting

M. Pooyan, Mostafa Ghelich Oghli, A. Fallahi, 2012, 20th Iranian Conference on Electrical Engineering (ICEE2012).

Improving the performance of the SSVEP-based BCI system using optimized singular spectrum analysis (OSSA)

Mohammad Pooyan, Ali Motie Nasrabadi, Seyed Mohammad Mehdi Safi, 2018, Biomed. Signal Process. Control..

A new approach for classification of human brain CT images based on morphological operations

Mohammad Pooyan, Hassan Khotanlou, Ali Reza Fallahi, 2010 .

Wavelet Compression of ECG Signals Using SPIHT Algorithm

Mohammad Pooyan, Ali Taheri, Morteza Moazami-Goudarzi, 2007 .

Dynamic functional connectivity in temporal lobe epilepsy: a graph theoretical and machine learning approach

Mohammad Reza Ay, Nastaran Lotfi, Fatemeh Baniasad, 2020, Neurological Sciences.

Recognition of amyotrophic lateral sclerosis disease using factorial hidden Markov model

Mohammad Reza Daliri, Mohammad Pooyan, Abed Khorasani, 2016, Biomedizinische Technik. Biomedical engineering.

A New Method for Iris Recognition Systems Based on Fast Pupil Localization

Mohammad Pooyan, Hamed Sadjedi, Samira Kooshkestani, 2008, ICCSA.

SOURCE SEPARATION FROM SINGLE CHANNEL BIOMEDICAL SIGNAL BYCOMBINATION OF BLIND SOURCE SEPARATION AND EMPIRICAL MODE DECOMPOSITION

N. Abdolmaleki, M. Pooyan, M. Pooyan, 2012 .

Comparison of multimodal findings on epileptogenic side in temporal lobe epilepsy using self-organizing maps

M. Pooyan, M. Nazem-Zadeh, A. Fallahi, 2021, Magnetic Resonance Materials in Physics, Biology and Medicine.

Adaptive Digital Audio Steganography Based on Integer Wavelet Transform

Mohammad Pooyan, Ahmad Delforouzi, M. Pooyan, 2007, Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007).

Uterine Fibroid Segmentation on MRI based on Chan-vese Level Set Method and Shape Prior Model

Mohammad Pooyan, Alireza Fallahi, Hassan Khotanlou, 2018, IMAGAPP/IVAPP.

Using nonlinear filter for adaptive blind channel equalization

Mohammad Pooyan, Hamidreza Bakhshi, M. Pooyan, 2006 .

An Improved Modeling of Parkinson’s Tremor and Investigation of Some Approaches to Remove this Symptom

M. Pooyan, F. Ghoreishian, 2021 .

Using a parameter of black box model for gait as a criterion to differentiate between parkinson disease & healthy states

Mohammad Pooyan, Shahriar Gharibzadeh, Yashar Sarbaz, 2010, Third International Workshop on Advanced Computational Intelligence.

Arrangement and Applying of Movement Patterns in the Cerebellum Based on Semi-supervised Learning

M. Pooyan, Saeed Solouki, 2016, The Cerebellum.

An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine

Mohammad Pooyan, Meisam Khalil Arjmandi, M. Pooyan, 2012, Biomed. Signal Process. Control..

SSVEP recognition by modeling brain activity using system identification based on Box-Jenkins model

Mohammad Pooyan, Ali Motie Nasrabadi, Seyed Mohammad Mehdi Safi, 2018, Comput. Biol. Medicine.

Assessing Susceptibility to Atrial Fibrillation Using Nonlinear Analysis of ECG Signals

M. Pooyan, M. Sepehrinia, 2015 .

Application of peripheral neural information to model and control agonist/antagonistic muscular coordination dynamics using the Poincaré approach

M. Pooyan, H. Kobravi, Fariba Biyouki, 2023, Biomedical Signal Processing and Control.

Dynamic Functional Connectivity Analysis Using Network-Based Brain State Identification, Application on Temporal Lobe Epilepsy

M. Pooyan, M. Nazem-Zadeh, A. Fallahi, 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Genetic algorithm-optimised structure of convolutional neural network for face recognition applications

Mohammad Pooyan, Mohammad T. Manzuri Shalmani, Arash Rikhtegar, 2016, IET Comput. Vis..

Improvement Mpls-NOC bandwidth by dividing bandwidth in Fat-tree topology

Mohammad Reza Nouri Rad, M. Pooyan, R. Kourdy, 2010, 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE).

A mathematical model for tremor genesis in Parkinson disease from a chaotic view

M. Pooyan, Fatemeh Ghoreishian, 2014, 2014 21th Iranian Conference on Biomedical Engineering (ICBME).

A novel approach to the extraction of fetal electrocardiogram based on empirical mode decomposition and correlation analysis

Mohammad Pooyan, Alireza Ahmadian, Mostafa Abdolghaffar, 2017, Australasian Physical & Engineering Sciences in Medicine.