F. Khozeimeh

发表

Intralesional immunotherapy compared to cryotherapy in the treatment of warts

R. Alizadehsani, F. Khozeimeh, Farahzad Jabbari Azad, 2017, International journal of dermatology.

Aleatory-aware deep uncertainty quantification for transfer learning.

S. Nahavandi, A. Khosravi, Usha R. Acharya, 2022, Computers in biology and medicine.

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review pdf

U. Rajendra Acharya, Navid Ghassemi, Afshin Shoeibi, 2020, ArXiv.

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

Sheikh Mohammed Shariful Islam, N. Sarrafzadegan, S. Nahavandi, 2022, Immunity, inflammation and disease.

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

Javad Hassannataj Joloudari, Sheikh Mohammed Shariful Islam, M. Tartibi, 2022, Scientific Reports.

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

M. M. Azizan, N. A. Kadri, Seyed Vahid Moravvej, 2022, Contrast media & molecular imaging.

The Prevalence of Tongue Abnormalities Among the School Children in Borazjan, Iran

F. Khozeimeh, G. Rasti, 2006 .

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

S. Nahavandi, U. Acharya, A. Khosravi, 2020, ArXiv.

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

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Scientific Reports.

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

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2018, Comput. Methods Programs Biomed..

Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Comput. Biol. Medicine.

Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ACM Trans. Multim. Comput. Commun. Appl..

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

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Operations Research Forum.

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

S. Nahavandi, R. Alizadehsani, M. Roshanzamir, 2020, medRxiv.

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

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, Biomedical Signal Processing and Control.

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

S. Nahavandi, R. Alizadehsani, M. Roshanzamir, 2019, Scientific Data.

Diagnosing Coronary Artery Disease via Data Mining Algorithms by Considering Laboratory and Echocardiography Features

Jafar Habibi, Roohallah Alizadehsani, Hoda Mashayekhi, 2013, Research in cardiovascular medicine.

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

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2019, Comput. Biol. Medicine.

Coronary artery disease detection using computational intelligence methods

Jafar Habibi, Saeid Nahavandi, Roohallah Alizadehsani, 2016, Knowl. Based Syst..

Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis

Roohallah Alizadehsani, Zahra Alizadeh Sani, Reihane Boghrati, 2012, Int. J. Knowl. Discov. Bioinform..

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients pdf

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, ArXiv.

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

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2020, Comput. Biol. Medicine.

An expert system for selecting wart treatment method

Saeid Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, 2017, Comput. Biol. Medicine.

Hypertrophic Cardiomyopathy Diagnosis Based on Cardiovascular Magnetic Resonance Using Deep Learning Techniques

Saeid Nahavandi, Afshin Shoeibi, Roohallah Alizadehsani, 2021, SSRN Electronic Journal.

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

M. Tartibi, A. Khosravi, Ruyan Tan, 2023, Comput. Biol. Medicine.

Factors Associated With Mortality in Hospitalized Cardiovascular Disease Patients Infected With COVID-19

N. Sarrafzadegan, S. Nahavandi, A. Khosravi, 2021, SSRN Electronic Journal.

Epileptic Seizures Detection Using Deep Learning Techniques: A Review pdf

Amir F. Atiya, U. Rajendra Acharya, Navid Ghassemi, 2020, International journal of environmental research and public health.

An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works

S. Nahavandi, J. Górriz, M. Teshnehlab, 2021, Comput. Biol. Medicine.

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

S. Nahavandi, A. Khosravi, Peng Shi, 2020, Neurocomputing.

Automatic facial expression recognition in an image sequence using conditional random field

A. Khosravi, R. Alizadehsani, A. Shoeibi, 2022, 2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo).