Susu M. Zughaier

According to our database, Susu M. Zughaier authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss.

Najmath Ottakath, Younes Akbari, Somaya Al-Máadeed, Muhammad E. H. Chowdhury, Susu M. Zughaier, Ahmed Bouridane, Kishor Kumar Sadasivuni

Biomed. Signal Process. Control., 2025

2024

An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning.

Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam

Cogn. Comput., July, 2024

TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images.

Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna Al Maslamani, Moajjem Hossain Chowdhury, Anas M. Tahir, Md Sakib Abrar Hossain, Muhammad E. H. Chowdhury

Cogn. Comput., May, 2024

Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis.

Najmath Ottakath, Younes Akbari, Sumaya Ali S. A. Al-Máadeed, Ahmed Bouridane, Susu M. Zughaier, Muhammad E. H. Chowdhury

Biomed. Signal Process. Control., 2024

Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques.

Zafar Ahmad, Muhammad Salman Khan, Muhammad E. H. Chowdhury, Susu M. Zughaier, Wanis Hamad Ibrahim

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

RamanNet: a generalized neural network architecture for Raman spectrum analysis.

Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Susu M. Zughaier

Neural Comput. Appl., September, 2023

BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data.

Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain

Neural Comput. Appl., August, 2023

Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound.

Kanchon Kanti Podder, Muhammad Enamul Hoque Chowdhury, Sumaya Almaadeed, Naima Nasrin Nisha, Sakib Mahmud, Fatema Hamadelneil, Taif Almkhlef, Hind Aljofairi, Adam Mushtak, Amith Khandakar, Susu M. Zughaier

Biomed. Signal Process. Control., August, 2023

2022

QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.

Tawsifur Rahman, Amith Khandakar, Farhan Fuad Abir, Md. Ahasan Atick Faisal, Md. Shafayet Hossain, Kanchon Kanti Podder, Tariq O. Abbas, Mohammed Fasihul Alam, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Susu M. Zughaier, Muhammad Enamul Hoque Chowdhury

Comput. Biol. Medicine, 2022

PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.

Farhan Fuad Abir, Khalid Alyafei, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Rashid Ahmed, Muhammad Maqsud Hossain, Sakib Mahmud, Ashiqur Rahman, Tareq O. Abbas, Susu M. Zughaier, Khalid Kamal Naji

Comput. Biol. Medicine, 2022

2021

QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds.

Muhammad Enamul Hoque Chowdhury, Nabil Ibtehaz, Tawsifur Rahman, Yosra Magdi Salih Mekki, Yazan Qiblawey, Sakib Mahmud, Maymouna Ezeddin, Susu M. Zughaier, Sumaya Ali S. A. Al-Máadeed

CoRR, 2021

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.

Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury

Comput. Biol. Medicine, 2021

Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters.

Tawsifur Rahman, Amith Khandakar, Md Enamul Hoque, Nabil Ibtehaz, Saad Bin Abul Kashem, Reehum Masud, Lutfunnahar Shampa, Mohammad Mehedi Hasan, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Saif Badran, Suhail A. R. Doi, Muhammad Enamul Hoque Chowdhury

IEEE Access, 2021

2020

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images.

Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury

CoRR, 2020

Virtual Reality Module Depicting Catheter-Associated Urinary Tract Infection as Educational Tool to Reduce Antibiotic Resistant Hospital-Acquired Bacterial Infections.

Yosra Magdi Mekki, Mohamed Magdi Mekki, Mohamed Ali Hammami, Susu M. Zughaier

Proceedings of the IEEE International Conference on Informatics, 2020