Dr Roohallah Alizadehsani

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A review

A Shoeibi, M Khodatars, M Jafari, N Ghassemi, P Moridian, R Alizadehsani, S Ling, A Khosravi, H Alinejad-Rokny, H Lam, M Fuller-Tyszkiewicz, U Acharya, D Anderson, Y Zhang, J Gorriz

(2023), Vol. 93, pp. 85-117, Information Fusion, C1

Prognosis prediction in traumatic brain injury patients using machine learning algorithms

H Khalili, M Rismani, M Nematollahi, M Masoudi, A Asadollahi, R Taheri, H Pourmontaseri, A Valibeygi, M Roshanzamir, R Alizadehsani, A Niakan, A Andishgar, S Islam, U Acharya

(2023), Vol. 13, pp. 960-, Scientific reports, England, C1

Novel Frequency-Based Approach to Analyze the Stability of Polynomial Fractional Differential Equations

H Yaghoubi, A Zare, M Rasouli, R Alizadehsani

(2023), Vol. 12, Axioms, C1

Identification of Clinical Features Associated with Mortality in COVID-19 Patients

R Eskandarian, R Alizadehsani, M Behjati, M Zahmatkesh, Z Sani, A Haddadi, K Kakhi, M Roshanzamir, A Shoeibi, S Hussain, F Khozeimeh, M Darbandy, J Joloudari, R Lashgari, A Khosravi, S Nahavandi, S Islam

(2023), Vol. 4, pp. 1-20, Operations Research Forum, Berlin, Germany, C1

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery disease

F Khozeimeh, R Alizadehsani, M Shirani, M Tartibi, A Shoeibi, H Alinejad-Rokny, C Harlapur, S Sultanzadeh, A Khosravi, S Nahavandi, R Tan, U Acharya

(2023), Vol. 158, Computers in Biology and Medicine, C1

Body composition predicts hypertension using machine learning methods: a cohort study

M Nematollahi, S Jahangiri, A Asadollahi, M Salimi, A Dehghan, M Mashayekh, M Roshanzamir, G Gholamabbas, R Alizadehsani, M Bazrafshan, H Bazrafshan, H Bazrafshan drissi, S Shariful Islam

(2023), Vol. 13, Scientific Reports, C1

GAN-LSTM-3D: An efficient method for lung tumour 3D reconstruction enhanced by attention-based LSTM

L Hong, M Modirrousta, M Hossein Nasirpour, M Mirshekari Chargari, F Mohammadi, S Moravvej, L Rezvanishad, M Rezvanishad, I Bakhshayeshi, R Alizadehsani, I Razzak, H Alinejad-Rokny, S Nahavandi

(2023), pp. 1-11, CAAI Transactions on Intelligence Technology, London, Eng., C1

Machine learning models to predict outcomes at 30‐days using Global Leadership Initiative on Malnutrition combinations with and without muscle mass in people with cancer

Nicole Kiss, Belinda Steer, Marian de van der Schueren, Jenelle Loeliger, Roohallah Alizadehsani, Lara Edbrooke, Irene Deftereos, Erin Laing, Abbas Khosravi

(2023), pp. 1-9, Journal of Cachexia, Sarcopenia and Muscle, London, Eng., C1

Material recognition for construction quality monitoring using deep learning methods

H Mahamivanan, N Ghassemi, M Tayarani Darbandi, A Shoeibi, S Hussain, F Nasirzadeh, R Alizadehsani, D Nahavandi, A Khosravi, S Nahavandi

(2023), Construction Innovation, Bingley, Eng., C1

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets

J Joloudari, S Hussain, M Nematollahi, R Bagheri, F Fazl, R Alizadehsani, R Lashgari, A Talukder

(2023), Vol. 13, Social Network Analysis and Mining, C1

A novel uncertainty-aware deep learning technique with an application on skin cancer diagnosis

A Shamsi, H Asgharnezhad, Z Bouchani, K Jahanian, M Saberi, X Wang, I Razzak, R Alizadehsani, A Mohammadi, H Alinejad-Rokny

(2023), pp. 22179-22188, Neural Computing and Applications, Berlin, Germany, C1

Designing a Secure Mechanism for Image Transferring System Based on Uncertain Fractional Order Chaotic Systems and NLFPID Sliding Mode Controller

M Rasouli, A Zare, H Yaghoubi, R Alizadehsani

(2023), Vol. 12, Axioms, C1

Developing a Deep Neural Network model for COVID-19 diagnosis based on CT scan images

J Joloudari, F Azizi, I Nodehi, M Nematollahi, F Kamrannejhad, E Hassannatajjeloudari, R Alizadehsani, S Islam

(2023), Vol. 20, pp. 16236-16258, Mathematical Biosciences and Engineering, Springfield, Mo., C1

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, S Nahavandi, P Plawiak, R Tan, U Acharya

(2022), Vol. 39, pp. 1-17, Expert Systems, London, Eng., C1

Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi, U Acharya

(2022), Vol. 213, pp. 1-19, Computer Methods and Programs in Biomedicine, Amsterdam, The Netherlands, C1

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

A Shoeibi, N Ghassemi, M Khodatars, P Moridian, R Alizadehsani, A Zare, A Khosravi, A Subasi, U Rajendra Acharya, J Gorriz

(2022), Vol. 73, pp. 1-20, Biomedical Signal Processing and Control, Amsterdam, The Netherlands, C1

Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID-19

R Alizadehsani, R Eskandarian, M Behjati, M Zahmatkesh, M Roshanzamir, N Izadi, A Shoeibi, A Haddadi, F Khozeimeh, F Sani, Z Sani, Z Roshanzamir, A Khosravi, S Nahavandi, N Sarrafzadegan, S Islam

(2022), Vol. 10, Immunity, Inflammation and Disease, England, C1

Objective evaluation of deep uncertainty predictions for COVID-19 detection

H Asgharnezhad, A Shamsi, R Alizadehsani, A Khosravi, S Nahavandi, Z Sani, D Srinivasan, S Islam

(2022), Vol. 12, pp. 1-11, Scientific Reports, London, Eng., C1

CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering

D Sharifrazi, R Alizadehsani, J Joloudari, S Band, S Hussain, Z Sani, F Hasanzadeh, A Shoeibi, A Dehzangi, M Sookhak, H Alinejad-Rokny

(2022), Vol. 19, pp. 2381-2402, Mathematical Biosciences and Engineering, Springfield, Mo, C1

FCM-DNN: Diagnosing coronary artery disease by deep accuracy fuzzy C-means clustering model

J Joloudari, H Saadatfar, M Gol, R Alizadehsani, Z Sani, F Hasanzadeh, E Hassannataj, D Sharifrazi, Z Mansor

(2022), Vol. 19, pp. 3609-3635, Mathematical Biosciences and Engineering, Springfield, Mo., C1

GSVMA: A Genetic Support Vector Machine ANOVA Method for CAD Diagnosis

Javad Hassannataj Joloudari, Faezeh Azizi, Mohammad Nematollahi, Roohallah Alizadehsani, Edris Hassannatajjeloudari, Issa Nodehi, Amir Mosavi

(2022), Vol. 8, pp. 1-14, Frontiers in cardiovascular medicine, Lausanne, Switzerland, C1

Comparison of the prevalence of 21 GLIM phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer: A retrospective observational study

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2022), Vol. 41, pp. 1102-1111, Clinical Nutrition, Amsterdam, The Netherlands, C1

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries

Sheikh Islam, Ashis Talukder, Md Awal, Md Siddiqui, Md Ahamad, Benojir Ahammed, Lal Rawal, Roohallah Alizadehsani, Jemal Abawajy, Liliana Laranjo, Clara Chow, Ralph Maddison

(2022), Vol. 9, pp. 1-9, Frontiers in Cardiovascular Medicine, Lausanne, Switzerland, C1

Robust Multi-Mode Synchronization of Chaotic Fractional Order Systems in the Presence of Disturbance, Time Delay and Uncertainty with Application in Secure Communications

A Javan, A Zare, R Alizadehsani, S Balochian

(2022), Vol. 6, Big Data and Cognitive Computing, C1

RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance

F Khozeimeh, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, R Alizadehsani, M Tartibi, S Hussain, Z Sani, M Khodatars, D Sadeghi, A Khosravi, S Nahavandi, R Tan, U Acharya, S Islam

(2022), Vol. 12, pp. 1-12, Scientific Reports, London, Eng., C1

RLMD-PA: A Reinforcement Learning-Based Myocarditis Diagnosis Combined with a Population-Based Algorithm for Pretraining Weights

S Moravvej, R Alizadehsani, S Khanam, Z Sobhaninia, A Shoeibi, F Khozeimeh, Z Sani, R Tan, A Khosravi, S Nahavandi, N Kadri, M Azizan, N Arunkumar, U Acharya

(2022), Vol. 2022, pp. 1-15, Contrast Media and Molecular Imaging, New York, N.Y., C1

Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications

A Kekha Javan, A Zare, R Alizadehsani

(2022), Vol. 6, Big Data and Cognitive Computing, C1

Analysis and Design of Robust Controller for Polynomial Fractional Differential Systems Using Sum of Squares

H Yaghoubi, A Zare, R Alizadehsani

(2022), Vol. 11, Axioms, C1

Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records

M Panahiazar, A Bishara, Y Chern, R Alizadehsani, S Islam, D Hadley, R Arnaout, R Beygui

(2022), Vol. 9, Frontiers in Cardiovascular Medicine, Switzerland, C1

The Synchronization of a Class of Time-Delayed Chaotic Systems Using Sliding Mode Control Based on a Fractional-Order Nonlinear PID Sliding Surface and Its Application in Secure Communication

M Rasouli, A Zare, M Hallaji, R Alizadehsani

(2022), Vol. 11, Axioms, C1

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

A Shoeibi, N Ghassemi, R Alizadehsani, M Rouhani, H Hosseini-Nejad, A Khosravi, M Panahiazar, S Nahavandi

(2021), Vol. 163, Expert Systems with Applications, C1

Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020

R Alizadehsani, A Khosravi, M Roshanzamir, M Abdar, N Sarrafzadegan, D Shafie, F Khozeimeh, A Shoeibi, S Nahavandi, M Panahiazar, A Bishara, R Beygui, R Puri, S Kapadia, R Tan, U Acharya

(2021), Vol. 128, Computers in Biology and Medicine, United States, C1

Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients

R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, N Abedini, F Hasanzadeh, A Khosravi, A Shoeibi, M Roshanzamir, P Moradnejad, S Nahavandi, F Khozeimeh, A Zare, M Panahiazar, U Acharya, S Islam

(2021), Vol. 93, pp. 2307-2320, Journal of Medical Virology, United States, C1

Design of adaptive-robust controller for multi-state synchronization of chaotic systems with unknown and time-varying delays and its application in secure communication

A Kekha Javan, A Shoeibi, A Zare, N Hosseini Izadi, M Jafari, R Alizadehsani, P Moridian, A Mosavi, U Acharya, S Nahavandi

(2021), Vol. 21, pp. 1-21, Sensors (Switzerland), Switzerland, C1

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

A Koohestani, M Abdar, S Hussain, A Khosravi, D Nahavandi, S Nahavandi, R Alizadehsani

(2021), Vol. 46, pp. 3567-3580, Arabian Journal for Science and Engineering, C1

Cardiovascular diseases risk prediction in patients with diabetes: Posthoc analysis from a matched case-control study in Bangladesh

S Islam, S Ahmed, R Uddin, M Siddiqui, M Malekahmadi, A Al Mamun, R Alizadehsani, A Khosravi, S Nahavandi

(2021), Vol. 20, pp. 417-425, Journal of Diabetes and Metabolic Disorders, Switzerland, C1

Objective Tinnitus Measurement via fNIRS and Machine Learning

M Shoushtarian, R Alizadehsani, A Khosravi, N Acevedo, C McKay, S Nahavandi, J Fallon

(2021), Vol. 74, pp. 26-29, Hearing Journal, Philadelphia, Pa., C1

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)

R Alizadehsani, M Roshanzamir, S Hussain, A Khosravi, A Koohestani, M Zangooei, M Abdar, A Beykikhoshk, A Shoeibi, A Zare, M Panahiazar, S Nahavandi, D Srinivasan, A Atiya, U Acharya

(2021), Annals of Operations Research, United States, C1

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

D Sharifrazi, R Alizadehsani, M Roshanzamir, J Joloudari, A Shoeibi, M Jafari, S Hussain, Z Sani, F Hasanzadeh, F Khozeimeh, A Khosravi, S Nahavandi, M Panahiazar, A Zare, S Islam, U Acharya

(2021), Vol. 68, Biomedical Signal Processing and Control, England, C1

Epileptic seizures detection using deep learning techniques: A review

A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, R Alizadehsani, M Panahiazar, F Khozeimeh, A Zare, H Hosseini-Nejad, A Khosravi, A Atiya, D Aminshahidi, S Hussain, M Rouhani, S Nahavandi, U Acharya

(2021), Vol. 18, International Journal of Environmental Research and Public Health, Switzerland, C1

Medical images encryption based on adaptive-robust multi-mode synchronization of chen hyper-chaotic systems

A Javan, M Jafari, A Shoeibi, A Zare, M Khodatars, N Ghassemi, R Alizadehsani, J Gorriz

(2021), Vol. 21, pp. 1-34, Sensors, Basel, Switzerland, C1

Detection of effective genes in colon cancer: A machine learning approach

M Fahami, M Roshanzamir, N Izadi, V Keyvani, R Alizadehsani

(2021), Vol. 24, pp. 1-11, Informatics in Medicine Unlocked, Amsterdam, The Netherlands, C1

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi, J Gorriz, H Moosaei, A Khosravi, S Nahavandi, A Gholamzadeh Chofreh, F Goni, J Klemeš, A Mosavi

(2021), Vol. 27, Results in Physics, Netherlands, C1

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

F Khozeimeh, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, R Alizadehsani, J Gorriz, S Hussain, Z Sani, H Moosaei, A Khosravi, S Nahavandi, S Islam

(2021), Vol. 11, Scientific Reports, England, C1

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review

A Shoeibi, M Khodatars, M Jafari, P Moridian, M Rezaei, R Alizadehsani, F Khozeimeh, J Gorriz, J Heras, M Panahiazar, S Nahavandi, U Acharya

(2021), Vol. 136, Computers in Biology and Medicine, United States, C1

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review

M Khodatars, A Shoeibi, D Sadeghi, N Ghaasemi, M Jafari, P Moridian, A Khadem, R Alizadehsani, A Zare, Y Kong, A Khosravi, S Nahavandi, S Hussain, U Acharya, M Berk

(2021), Vol. 139, Computers in Biology and Medicine, United States, C1

Evaluation of the Quality of Life and Related Factors in the Nursing Staff of Selected Hospitals in Tehran, Iran

Ali Sadeghpour Tabaei, Mohammad Najafikhah, Bahador Baharestani, Hooman Bakhshandeh Abkenar, Sepehr Sadeghpour Tabaei, Mobin Naqshbandi, Roohallah Alizadehsani, Mohaddeseh Behjati

(2021), Vol. 12, pp. 1-4, Multidisciplinary Cardiovascular Annals, s-Hertogenbosch, The Netherlands, C1

Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data

R Alizadehsani, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, J Gorriz, S Hussain, J Arco, Z Sani, F Khozeimeh, A Khosravi, S Nahavandi, S Islam, U Acharya

(2021), Vol. 17, ACM Transactions on Multimedia Computing, Communications and Applications, C1

Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features

A Malekzadeh, A Zare, M Yaghoobi, H Kobravi, R Alizadehsani

(2021), Vol. 21, pp. 1-28, Sensors, Basel, Switzlerland, C1

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models

A Shoeibi, D Sadeghi, P Moridian, N Ghassemi, J Heras, R Alizadehsani, A Khadem, Y Kong, S Nahavandi, Y Zhang, J Gorriz

(2021), Vol. 15, Frontiers in Neuroinformatics, Switzerland, C1

Automatic diagnosis of epileptic seizures in EEG signals using fractal dimension features and convolutional autoencoder method

A Malekzadeh, A Zare, M Yaghoobi, R Alizadehsani

(2021), Vol. 5, pp. 1-31, Big Data and Cognitive Computing, Basel, Switzerland, C1

Comparison of 21 glim phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2021), Vol. 46, pp. S554-S555, Clinical Nutrition ESPEN, Amsterdam, The Netherlands, C1

Machine learning models to predict adverse outcomes using glim combinations with and without muscle mass in people with cancer

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2021), Vol. 46, pp. S566-S567, Clinical Nutrition ESPEN, Amsterdam, The Netherlands, C1

Robust Adaptive Control Scheme for Teleoperation Systems with Delay and Uncertainties

P Kebria, A Khosravi, S Nahavandi, P Shi, R Alizadehsani

(2020), Vol. 50, pp. 3243-3253, IEEE Transactions on Cybernetics, United States, C1

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, M Zangooei, A Khosravi, S Nahavandi, R Tan, U Acharya

(2020), Vol. 24, pp. 10149-10160, Soft Computing, Berlin, Germany, C1

Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach

E Nasarian, M Abdar, M Fahami, R Alizadehsani, S Hussain, M Basiri, M Zomorodi-Moghadam, X Zhou, P Pławiak, U Acharya, R Tan, N Sarrafzadegan

(2020), Vol. 133, pp. 33-40, Pattern recognition letters, Amsterdam, The Netherlands, C1

Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning

M Shoushtarian, R Alizadehsani, A Khosravi, N Acevedo, C McKay, S Nahavandi, J Fallon

(2020), Vol. 15, PLoS ONE, United States, C1

Robust adaptive synchronization of a class of uncertain chaotic systems with unknown time-delay

A Zare, S Mirrezapour, M Hallaji, A Shoeibi, M Jafari, N Ghassemi, R Alizadehsani, A Mosavi

(2020), Vol. 10, pp. 1-14, Applied Sciences, Basel, Switzerland, C1

IAPSO-AIRS: A novel improved machine learning-based system for wart disease treatment

M Abdar, V Wijayaningrum, S Hussain, R Alizadehsani, P Plawiak, U Acharya, V Makarenkov

(2019), Vol. 43, Journal of Medical Systems, United States, C1

Machine learning-based coronary artery disease diagnosis: A comprehensive review

R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, P Kebria, F Khozeimeh, S Nahavandi, N Sarrafzadegan, U Acharya

(2019), Vol. 111, Computers in Biology and Medicine, United States, C1

A Knowledge Discovery in Motion Sickness: A Comprehensive Literature Review

A Koohestani, D Nahavandi, H Asadi, P Kebria, A Khosravi, R Alizadehsani, S Nahavandi

(2019), Vol. 7, pp. 85755-85770, IEEE Access, C1

A database for using machine learning and data mining techniques for coronary artery disease diagnosis

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, M Panahiazar, A Koohestani, F Khozeimeh, S Nahavandi, N Sarrafzadegan

(2019), Vol. 6, Scientific Data, England, C1

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

R Alizadehsani, M Hosseini, A Khosravi, F Khozeimeh, M Roshanzamir, N Sarrafzadegan, S Nahavandi

(2018), Vol. 162, pp. 119-127, Computer Methods and Programs in Biomedicine, Ireland, C1

An expert system for selecting wart treatment method

F Khozeimeh, R Alizadehsani, M Roshanzamir, A Khosravi, P Layegh, S Nahavandi

(2017), Vol. 81, pp. 167-175, Computers in Biology and Medicine, United States, C1

Intralesional immunotherapy compared to cryotherapy in the treatment of warts

F Khozeimeh, F Jabbari Azad, Y Mahboubi Oskouei, M Jafari, S Tehranian, R Alizadehsani, P Layegh

(2017), Vol. 56, pp. 474-478, International journal of dermatology, Chichester, Eng., C1-1

Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm

Z Arabasadi, R Alizadehsani, M Roshanzamir, H Moosaei, A Yarifard

(2017), Vol. 141, pp. 19-26, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1-1

Coronary artery disease detection using computational intelligence methods

R Alizadehsani, M Zangooei, M Hosseini, J Habibi, A Khosravi, M Roshanzamir, F Khozeimeh, N Sarrafzadegan, S Nahavandi

(2016), Vol. 109, pp. 187-197, Knowledge-Based Systems, C1

Disease diagnosis with a hybrid method SVR using NSGA-II

M Zangooei, M Zangooei, J Habibi, J Habibi, R Alizadehsani, R Alizadehsani

(2014), Vol. 136, pp. 14-29, Neurocomputing, Amsterdam, The Netherlands, C1-1

A data mining approach for diagnosis of coronary artery disease

R Alizadehsani, R Alizadehsani, J Habibi, J Habibi, M Hosseini, M Hosseini, H Mashayekhi, H Mashayekhi, R Boghrati, R Boghrati, A Ghandeharioun, A Ghandeharioun, B Bahadorian, B Bahadorian, Z Sani, Z Sani

(2013), Vol. 111, pp. 52-61, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1-1

Diagnosing coronary artery disease via data mining algorithms by considering laboratory and echocardiography features

Roohallah Alizadehsani, Roohallah Alizadehsani, Jafar Habibi, Jafar Habibi, Zahra Alizadeh Sani, Zahra Alizadeh Sani, Hoda Mashayekhi, Hoda Mashayekhi, Reihane Boghrati, Reihane Boghrati, Asma Ghandeharioun, Asma Ghandeharioun, Fahime Khozeimeh, Fahime Khozeimeh, Fariba Alizadeh-Sani, Fariba Alizadeh-Sani

(2013), Vol. 2, pp. 133-139, Research in cardiovascular medicine, [Unknown], C1-1

Diagnosis of coronary arteries stenosis using data mining

R Alizadehsani, R Alizadehsani, J Habibi, J Habibi, B Bahadorian, B Bahadorian, H Mashayekhi, H Mashayekhi, A Ghandeharioun, A Ghandeharioun, R Boghrati, R Boghrati, Z Sani, Z Sani

(2012), Vol. 2, pp. 153-160, Journal of medical signals and sensors, Isfahan, Iran, C1-1

Diagnosis of coronary artery disease using data mining techniques based on symptoms and ECG features

R Alizadehsani, R Alizadehsani, J Habibi, J Habibi, M Hosseini, M Hosseini, R Boghrati, R Boghrati, A Ghandeharioun, A Ghandeharioun, B Bahadorian, B Bahadorian, Z Sani, Z Sani

(2012), Vol. 82, pp. 542-553, European journal of scientific research, [Mahé, Seychelles], C1-1