Mohammad Pooyan

Mohammad Pooyan

Shahed University

H-index: 21

Asia-Iran

About Mohammad Pooyan

Mohammad Pooyan, With an exceptional h-index of 21 and a recent h-index of 14 (since 2020), a distinguished researcher at Shahed University, specializes in the field of biomedical signal processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Identification of Schizophrenia using Functional Connectivity and Graph Theory through Resting State Functional Magnetic Resonance Imaging (rs-fMRI)

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

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

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

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

Modeling Parkinsonian Gait and Investigating some Approaches to Increase the Gait Speed

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

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

Mohammad Pooyan Information

University

Position

associate professor of biomedial engineering

Citations(all)

1501

Citations(since 2020)

710

Cited By

1082

hIndex(all)

21

hIndex(since 2020)

14

i10Index(all)

36

i10Index(since 2020)

23

Email

University Profile Page

Shahed University

Google Scholar

View Google Scholar Profile

Mohammad Pooyan Skills & Research Interests

biomedical signal processing

Top articles of Mohammad Pooyan

Title

Journal

Author(s)

Publication Date

Identification of Schizophrenia using Functional Connectivity and Graph Theory through Resting State Functional Magnetic Resonance Imaging (rs-fMRI)

Mahdi Mohammadkhanloo

Mohammad Pooyan

Hamid Sharini

2024/2/29

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

Biomedical Signal Processing and Control

Fariba Biyouki

Mohammad Pooyan

Hamidreza Kobravi

2023/9/1

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

Alireza Fallahi

Seyed Sohrab Hashemi-Fesharaki

Narges Hoseini-Tabatabaei

Mohammad Pooyan

Mohammad-Reza Nazem-Zadeh

2023/7/24

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

Alireza Fallahi

Mohammad Pooyan

Jafar Mehvari Habibabadi

Seyed Sohrab Hashemi-Fesharaki

Narges Hoseini Tabatabaei

...

2022/1/1

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

Medical & Biological Engineering & Computing

Sana Amoozegar

Mohammad Pooyan

Mehrdad Roghani

2022/1

Modeling Parkinsonian Gait and Investigating some Approaches to Increase the Gait Speed

Amiri Seyedeh Fatemeh Ghoreishian

MOHAMMAD POOYAN

2021/1/1

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

Neurological Sciences

Alireza Fallahi

Mohammad Pooyan

Nastaran Lotfi

Fatemeh Baniasad

Leili Tapak

...

2021/6

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

International Journal of Engineering Transactions B: Applications

Mohammad Pooyan

Fatemeh Ghoreishian

2021/5/1

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

Magnetic Resonance Materials in Physics, Biology and Medicine

Alireza Fallahi

Mohammad Pooyan

Jafar Mehvari Habibabadi

Mohammad-Reza Nazem-Zadeh

2021

کتاب ها‎

Signal

Mahmoud Mansouri Jam

Hamed Sadjedi

Elham Zarei

Mohammad Farhadi

J Ahmadi-Farsani

...

2020/11/20

Comparing performance of metaheuristic algorithms for finding the optimum structure of CNN for face recognition

International Journal of Nonlinear Analysis and Applications

Arash Rikhtegar

Mohammad Pooyan

Mohammad Taghi Manzuri

2020/4/1

See List of Professors in Mohammad Pooyan University(Shahed University)

Co-Authors

H-index: 24
Farzad Towhidkhah

Farzad Towhidkhah

Amirkabir University of Technology

H-index: 22
Hassan Khotanlou

Hassan Khotanlou

Bu-Ali Sina University

H-index: 19
Mohammad Mikaeili

Mohammad Mikaeili

Shahed University

H-index: 12
Meisam Arjmandi

Meisam Arjmandi

Harvard University

H-index: 12
Yashar Sarbaz

Yashar Sarbaz

University of Tabriz

H-index: 11
Mostafa Ghelich Oghli

Mostafa Ghelich Oghli

Katholieke Universiteit Leuven

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