Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. - Mohammad Ali Moni; M. Babul Islam; Md. Rezanur Rahman; Md Rashed-Al-Mahfuz; Md. Abdul Awal; Sheikh Mohammed Shariful Islam; Md. Nurul Haque Mollah; Julian M. W. Quinn (IEEE Access, 2020)

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. - Sakifa Aktar; Md. Martuza Ahamad; Md Rashed-Al-Mahfuz; A. K. M. Azad; Shahadat Uddin; A. H. M. Kamal; Salem A. Alyami; Ping-I Lin; Sheikh Mohammed Shariful Islam; Julian M. W. Quinn; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

Pathogenetic profiling of COVID-19 and SARS-like viruses. - Zulkar Nain; Humayan Kabir Rana; Pietro Liò; Sheikh Mohammed Shariful Islam; Matthew A. Summers; Mohammad Ali Moni (Briefings Bioinform., 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; et al. (Biomed. Signal Process. Control., 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; et al. (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; et al. (CoRR, 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; et al. (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder. - Mufti Mahmud; M. Shamim Kaiser; Muhammad Arifur Rahman; Tanu Wadhera; David J. Brown 001; Nicholas Shopland; Andrew M. Burton; Thomas Hughes-Roberts; Shamim Al Mamun; Cosimo Ieracitano; Marzia Hoque Tania; Mohammad Ali Moni; et al. (HCI (8), 2022)

Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images. - Md. Shahriare Satu; Khair Ahammed; Mohammad Zoynul Abedin; Md. Auhidur Rahman; Sheikh Mohammed Shariful Islam; A. K. M. Azad; Salem A. Alyami; Mohammad Ali Moni (MIET (1), 2022)

Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method. - Nihad Karim Chowdhury; Muhammad Ashad Kabir; Md. Muhtadir Rahman; Sheikh Mohammed Shariful Islam (Comput. Biol. Medicine, 2022)

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. - Koushik Chandra Howlader; Md. Shahriare Satu; Md. Abdul Awal; Md. Rabiul Islam 001; Sheikh Mohammed Shariful Islam; Julian M. W. Quinn; Mohammad Ali Moni (Health Inf. Sci. Syst., 2022)

Healthcare providers' perspectives on using smart home systems to improve self-management and care in people with heart failure: A qualitative study. - Sheikh Mohammed Shariful Islam; Areej Halooq; Jedha Dening; Riaz Uddin; Liliana Laranjo; Clara K. Chow; Ralph Maddison (Int. J. Medical Informatics, 2022)

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps. - Sabiha Samad; Fahmida Ahmed; Samsun Naher; Muhammad Ashad Kabir; Anik Das; Sumaiya Amin; Sheikh Mohammed Shariful Islam (Intell. Syst. Appl., 2022)

Smartphone as a Disease Screening Tool: A Systematic Review. - Jeban Chandir Moses; Sasan Adibi; Nilmini Wickramasinghe; Lemai Nguyen; Maia Angelova; Sheikh Mohammed Shariful Islam (Sensors, 2022)

Identification of Clinical Features Associated with Mortality in COVID-19 Patients. - Rahimeh Eskandarian; Roohallah Alizadehsani; Mohaddeseh Behjati; Mehrdad Zahmatkesh; Zahra Alizadeh Sani; Azadeh Haddadi; Kourosh Kakhi; Mohamad Roshanzamir; Afshin Shoeibi; Sadiq Hussain; Fahime Khozeimeh; Mohammad Tayarani Darbandy; et al. (Oper. Res. Forum, 2023)

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. - Md. Zahid Hasan; Sidratul Montaha; Inam Ullah Khan; Md. Mehedi Hassan; Abdullah Al Mahmud 002; A. K. M. Rakibul Haque Rafid; Sami Azam; Asif Karim; Spyridon Prountzos; Efthymia Alexopoulou; Umama Binta Ashraf; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review. - Md. Awlad Hossen Rony; Kaniz Fatema; Mohaimenul Azam Khan Raiaan; Md. Mehedi Hassan; Sami Azam; Asif Karim; Mirjam Jonkman; Jemima Beissbarth; Friso De Boer; Sheikh Mohammed Shariful Islam; Amanda Leach (IEEE Access, 2024)

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. - Yasin Sadeghi Bazargani; Majid Mirzaei; Navid Sobhi; Mirsaeed Abdollahi; Ali Jafarizadeh; Siamak Pedrammehr; Roohallah Alizadehsani; Ru-San Tan; Sheikh Mohammed Shariful Islam; U. Rajendra Acharya (CoRR, 2024)

Machine Learning Models for the Identification of Cardiovascular Diseases Using UK Biobank Data. - Sheikh Mohammed Shariful Islam; Moloud Abrar; Teketo Tegegne; Liliana Loranjo; Chandan K. Karmakar; Md. Abdul Awal; Md. Shahadat Hossain; Muhammad Ashad Kabir; Mufti Mahmud; Abbas Khosravi; George Siopis; Jeban Chandir Moses; et al. (CoRR, 2024)

Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning. - Sakib Mahmud; Tariq O. Abbas; Muhammad E. H. Chowdhury; Adam Mushtak; Saidul Kabir; Sreekumar Muthiyal; Alaa Koko; Ahmed Balla Abdalla Altyeb; Abdulrahman Alqahtani; Amith Khandakar; Sheikh Mohammed Shariful Islam (Expert Syst. Appl., 2024)

Smart offloading for IoT application: Building a fog-cloud based context aware offloading framework and exploring potential for integration with blockchain. - Karan Bajaj; Shaily Jain; Raman Singh; Chander Prabha; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (Comput. Electr. Eng., 2025)

Atrous spatial pyramid pooling with swin transformer model for classification of gastrointestinal tract diseases from videos with enhanced explainability. - Arefin Ittesafun Abian; Mohaimenul Azam Khan Raiaan; Mirjam Jonkman; Sheikh Mohammed Shariful Islam; Sami Azam (Eng. Appl. Artif. Intell., 2025)

Perceptions of healthcare professionals and patients with cardiovascular diseases on mHealth lifestyle apps: A qualitative study. - Sheikh Mohammed Shariful Islam; Ashal Singh; Sebastiat V. Moreno; Sadika Akhter; Jeban Chandir Moses (Int. J. Medical Informatics, 2025)

Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. - Mahade Hasan; Farhana Yasmin; Md. Mehedi Hassan; Xue Yu; Soniya Yeasmin; Herat Joshi; Sheikh Mohammed Shariful Islam (CoRR, 2025)

Current and future roles of artificial intelligence in retinopathy of prematurity. - Ali Jafarizadeh; Shadi Farabi Maleki; Parnia Pouya; Navid Sobhi; Mirsaeed Abdollahi; Siamak Pedrammehr; Chee Peng Lim; Houshyar Asadi; Roohallah Alizadehsani; Ru-San Tan; Sheikh Mohammed Shariful Islam; U. Rajendra Acharya (Artif. Intell. Rev., 2025)