KERMANI's picture

Saeed Kermani, PhD

Full Professor

Isfahan University of Medical Sciences

School: 
School of Advanced Technologies in Medicine

Department: 
Department of Bioelectrics and Biomedical Engineering

Research Center: 
Medical Image and Signal Processing (MISP)

Phone: 
+983137923861

Email: 

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Overview:

Dr  Saeed Kermani

Full Professor of Biomedical Engineering

Department of Bioelectrics and Biomedical Engineering, School of Advanced Medical Technology, Isfahan University of Medical Sciences

 

 Saeed Kermani obtained his BS from the Department of Electrical Engineering of Isfahan University of Technology in Isfahan, Iran, 1987, and he received the MS in Bioelectric Engineering from Sharif University of Technology, Tehran, Iran in 1992 and his PhD in Bioelectric Engineering at Amirkabir University of Technology, Tehran, Iran, in 2008.

 He is full professor of medical engineering at the Department of Bioelectric in advance medical technology of Isfahan University of Medical Sciences, Iran. His research interests are development of Biomedical Image analysis on CMRI, Biosignal processing techniques on ECG & EEG and Biomedical instruments.

NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI,

Kermani, S., Ghelich Oghli, M., Mohammadzadeh, A., Kafieh, R.

 

 

2020

Automatic detection of acute lymphoblastic leukaemia based on extending the multifractal features, M Abbasi,S Kermani, A Talebi, MM Amin,MM. Abbasi

IET Image Processing

 

 

2020

Design and implementation of optical stimulus system for rehabilitation and development of visual functions in children with low vision

S Kermani, E Moazeni, F Tavakoli, A Kermani

Optik 198, 163210

 

2019

Extraction Of Left Ventricular Wall Mechanical Indexes Using Four-Dimensional Image Analysis Of Mri, Based On A Nonlinear Hyperelastic Model

H Yousefi-Banaem, S Kermani, H Sanei, A Daneshmehr

Iranian Congress of Radiology 34 (4), 100-100

 

 

2019

 

A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition

MG Oghli, A Mohammadzadeh, R Kafieh, S Kermani

Physica Medica 54, 103-116

 

2018

Introduction of low to high frequencies bispectrum rate feature for deep sleep detection from awakening by electroencephalogram

E Mohammadi, S Kermani, B Amra

Tehran University Medical Journal TUMS Publications 76 (5), 326-330

 

2018

The design and validation of a hybrid digital-signal-processing plug-in for traditional cochlear implant speech processors

F Hajiaghababa, HR Marateb, S Kermani

Computer methods and programs in biomedicine 159, 103-109

 

2018

Designing an Inverter-based Operational Transconductance Amplifier-capacitor Filter with Low Power Consumption for Biomedical Applications

S Yousefinezhad, S Kermani, S Hosseinnia

Journal of medical signals and sensors 8 (1), 53

 

2018

A novel feature ranking method for prediction of cancer stages using proteomics data

E Saghapour, S Kermani, M Sehhati

PloS one 12 (9), e0184203

 

2017

Controversial cytogenetic observations in mammalian somatic cells exposed to extremely low frequency electromagnetic radiation: A review and future research recommendations.

D Shahbazi-Gahrouei, S Sadat Setayandeh, F Aminolroayaei, ...

Journal of Medical Sciences 18 (3), 143-148

 

2017

A novel and more efficient approach for automatic diagnosis of acute lymphoblastic leukemic cells based on combining geometrical and statistical features of blood cells

MR Abbasi, S Kermani, A Talebi

Journal of Isfahan Medical School 35 (433), 643-647

 

2017

Automatic separation of awakening from sleep epochs based on bispectrum analysis of electroencephalogram signals

E MOHAMMADI, S KERMANI, B AMRA

JOURNAL OF ISFAHAN MEDICAL SCHOOL (IUMS) 35 (4480033), 1271-1275

 

2017

Proposing an approach for diagnosis of mild cognitive impairment based on approximate entropy

BT SHABANIAN, S KERMANI, M BAREKATAIN, M KASHEFPOOR

JOURNAL OF ISFAHAN MEDICAL SCHOOL (IUMS) 34 (407), 1356-1361

 

2017

Prediction of myocardial infarction by assessing regional cardiac wall in CMR images through active mesh modeling

HS H Yousefi-Banaem, S Kermani, S Asiaei

Computers in Biology and Medicine 80, 56-64

 

2017

Detecting Infarct Region in Cardiac Magnetic Resonance Images Through Weighted Normalized Mutual Information

H Yousefi-Banaem, S Kermani, H Sanei, A Daneshmehr

Iranian Journal of Radiology 14 (3)

 

2017

CIAG:

Cardiovascular Image Analysis Group