Sheikh Mohammed Shariful Islam

Orcid: 0000-0001-7926-9368

According to our database1, Sheikh Mohammed Shariful Islam authored at least 24 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Perceptions of healthcare professionals and patients with cardiovascular diseases on mHealth lifestyle apps: A qualitative study.
Int. J. Medical Informatics, 2025

2024
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning.
Expert Syst. Appl., 2024

Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data.
CoRR, 2024

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina.
CoRR, 2024

Current and future roles of artificial intelligence in retinopathy of prematurity.
CoRR, 2024

Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review.
IEEE Access, 2024

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism".
IEEE Access, 2024

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism.
IEEE Access, 2024

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images.
IEEE Access, 2024

2023
Identification of Clinical Features Associated with Mortality in COVID-19 Patients.
Oper. Res. Forum, March, 2023

2022
Smartphone as a Disease Screening Tool: A Systematic Review.
Sensors, 2022

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps.
Intell. Syst. Appl., 2022

Healthcare providers' perspectives on using smart home systems to improve self-management and care in people with heart failure: A qualitative study.
Int. J. Medical Informatics, 2022

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes.
Health Inf. Sci. Syst., 2022

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method.
Comput. Biol. Medicine, 2022

Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder.
Proceedings of the Universal Access in Human-Computer Interaction. User and Context Diversity, 2022

2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data.
ACM Trans. Multim. Comput. Commun. Appl., 2021

CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients.
CoRR, 2021

Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data.
CoRR, 2021

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images.
Biomed. Signal Process. Control., 2021

Pathogenetic profiling of COVID-19 and SARS-like viruses.
Briefings Bioinform., 2021

2020
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data.
CoRR, 2020

Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints.
IEEE Access, 2020


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