Susu M. Zughaier

21 papers Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients.
Comput. Biol. Medicine
Johayra Prithula, Khandaker Reajul Islam, Jaya Kumar, Toh Leong Tan, Mamun Bin Ibne Reaz, Tawsifur Rahman, Susu M. Zughaier, Muhammad Salman Khan, M. Murugappan, Muhammad E. H. Chowdhury
2025 J jnl
CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram.
CoRR
Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Md Sakib Abrar Hossain, Sakib Mahmud, Abdulrahman Alqahtani, Sohaib Bassam Zoghoul, Amith Khandakar, Susu M. Zughaier, Somaya Al-Máadeed, Anwarul Hasan
2025 J jnl
Digital twins for the era of personalized surgery.
npj Digit. Medicine
Yosra Magdi Mekki, Gijs Luijten, Elisabet Hagert, Sirajeddin Belkhair, Chris Varghese, Junaid Qadir, Barry Solaiman, Muhammad Bilal, Jaghtar Dhanda, Jan Egger, Jun Deng, Vikas Khanduja, Alejandro F. Frangi, Susu M. Zughaier, Mitchell A. Stotland
2025 J jnl
MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss.
Biomed. Signal Process. Control.
Najmath Ottakath, Younes Akbari, Somaya Al-Máadeed, Muhammad E. H. Chowdhury, Susu M. Zughaier, Ahmed Bouridane, Kishor Kumar Sadasivuni
2024 J jnl
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning.
Cogn. Comput.
Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam
2024 J jnl
Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis.
Biomed. Signal Process. Control.
Najmath Ottakath, Younes Akbari, Sumaya Ali S. A. Al-Máadeed, Ahmed Bouridane, Susu M. Zughaier, Muhammad E. H. Chowdhury
2024 — conf
Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques.
EUSIPCO
Zafar Ahmad, Muhammad Salman Khan, Muhammad E. H. Chowdhury, Susu M. Zughaier, Wanis Hamad Ibrahim
2024 J jnl
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images.
Cogn. Comput.
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
2023 J jnl
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.
Neural Comput. Appl.
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
2023 J jnl
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound.
Biomed. Signal Process. Control.
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
2023 J jnl
RamanNet: a generalized neural network architecture for Raman spectrum analysis.
Neural Comput. Appl.
Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Susu M. Zughaier
2022 J jnl
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.
CoRR
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
2022 J jnl
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.
Comput. Biol. Medicine
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
2022 J jnl
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.
Comput. Biol. Medicine
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
2022 J jnl
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis.
CoRR
Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Susu M. Zughaier, Serkan Kiranyaz, M. Sohel Rahman
2021 J jnl
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters.
IEEE Access
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
2021 J jnl
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.
Comput. Biol. Medicine
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
2021 J jnl
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds.
CoRR
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
2020 J jnl
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning.
CoRR
Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam
2020 J jnl
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images.
CoRR
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
2020 — conf
Virtual Reality Module Depicting Catheter-Associated Urinary Tract Infection as Educational Tool to Reduce Antibiotic Resistant Hospital-Acquired Bacterial Infections.
ICIoT
Yosra Magdi Mekki, Mohamed Magdi Mekki, Mohamed Ali Hammami, Susu M. Zughaier