Danial Sharifrazi

According to our database, Danial Sharifrazi authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification.

Danial Sharifrazi, Nouman Javed, Mojtaba Mohammadi, Seyede Sana Salehi, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti

CoRR, January, 2026

Spike sequences classification for dengue and Zika infections in mosquito neurons using deep pre-trained models.

Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti

Biomed. Signal Process. Control., 2026

2025

A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n.

Saadat Behzadi, Danial Sharifrazi, Bita Mesbahzadeh, Javad Hassannataj Joloudari, Roohallah Alizadehsani

CoRR, July, 2025

Brain Ageing Prediction Using Isolation Forest Technique and Residual Neural Network (ResNet).

Saadat Behzadi, Danial Sharifrazi, Roohallah Alizadehsani, Mojtaba Lotfaliany, Mohammadreza Mohebbi

Proceedings of the Dynamics of Information Systems - 8th International Conference, 2025

2024

Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review.

Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari, Roohallah Alizadehsani, Prasad N. Paradkar, Ru-San Tan, U. Rajendra Acharya, Asim Bhatti

CoRR, 2024

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis: A machine learning approach.

Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti

Biomed. Signal Process. Control., 2024

Immediate Detection of Simulator Sickness in Virtual Environments Using Integrated Subjective Feedback and Physiological Signals.

Ghazal Rahimzadeh, Kathleen Lacy, Shady M. K. Mohamed, Pawel Plawiak, Danial Sharifrazi, Nicole Gwenith Toomey, Houshyar Asadi

Proceedings of the IEEE International Conference on E-health Networking, 2024

2023

Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis.

Danial Sharifrazi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti

CoRR, 2023

AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach.

Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad, Kwok Tsui, Roohallah Alizadehsani

CoRR, 2023

2022

Accurate Discharge Coefficient Prediction of Streamlined Weirs by Coupling Linear Regression and Deep Convolutional Gated Recurrent Unit.

Weibin Chen, Danial Sharifrazi, Guoxi Liang, Shahab S. Band, Kwok-Wing Chau, Amir Mosavi

CoRR, 2022

FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model.

Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Roohallah Alizadehsani, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Edris Hassannataj, Danial Sharifrazi, Zulkefli Mansor

CoRR, 2022

2021

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

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

ACM Trans. Multim. Comput. Commun. Appl., 2021

A Survey of Applications of Artificial Intelligence for Myocardial Infarction Disease Diagnosis.

Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi, Amir Mashmool, Zeynab Kiani Zadegan, Sahar Khanjani Shirkharkolaie, Tahereh Tamadon, Samiyeh Khosravi, Mitra Akbari, Edris Hassannataj, Roohallah Alizadehsani, Danial Sharifrazi, Amir Mosavi

CoRR, 2021

Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods.

Nooshin Ayoobi, Danial Sharifrazi, Roohallah Alizadehsani, Afshin Shoeibi, Juan Manuel Górriz, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Abdoulmohammad Gholamzadeh Chofreh, Feybi Ariani Goni, Jirí Jaromír Klemes, Amir Mosavi

CoRR, 2021

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

Fahime Khozeimeh, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Roohallah Alizadehsani, Juan Manuel Górriz, Sadiq Hussain, Zahra Alizadeh Sani, Hossein Moosaei, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam

CoRR, 2021

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.

Roohallah Alizadehsani, Danial Sharifrazi, Navid Hosseini Izadi, Javad Hassannataj Joloudari, Afshin Shoeibi, Juan Manuel Górriz, Sadiq Hussain, Juan Eloy Arco, Zahra Alizadeh Sani, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

CoRR, 2021

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

Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya

Biomed. Signal Process. Control., 2021