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2026

Journal Article

3D MRI Reconstruction and Brain Tumor Diagnosis Using Deep Learning with Explainable AI

Hasan, Md Rakhibul, Rudra, Shrawman Majumder, Karmoker, Nayon, Yousuf, Mohammad Abu, Akhter, Jesmin, Al-Moisheer, Asmaa Soliman, Alyami, Salem A. and Moni, Mohammad Ali (2026). 3D MRI Reconstruction and Brain Tumor Diagnosis Using Deep Learning with Explainable AI. Expert Systems with Applications, 315 131513, 131513-315. doi: 10.1016/j.eswa.2026.131513

3D MRI Reconstruction and Brain Tumor Diagnosis Using Deep Learning with Explainable AI

2026

Journal Article

Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis

Al Sakib, Abdullah, Swapno, SM. Masfequier Rahman, Ahamed, Fahim, Mohiuddin, Arafath Bin, Bhuiyan, Md Imranul Hoque, Khan, Shakil, Khushbu, Katura Gania, Haque, Rezaul, Alahmadi, Tahani Jaser and Moni, Mohammad Ali (2026). Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis. DIGITAL HEALTH, 12 20552076261438923, 20552076261438923-12. doi: 10.1177/20552076261438923

Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis

2026

Journal Article

A novel stacking based classifier for the identification of antifreeze protein using latent semantic analysis

Rahman, Ashikur, Abdulrazak, Lway Faisal, Ali, Mamun, Ahmed, Kawsar, Bui, Francis M., Chen, Li, Mahmud, Imran, Bhuiyan, Touhid and Moni, Mohammad Ali (2026). A novel stacking based classifier for the identification of antifreeze protein using latent semantic analysis. Intelligent Medicine, 6 (1), 69-80. doi: 10.1016/j.imed.2025.03.003

A novel stacking based classifier for the identification of antifreeze protein using latent semantic analysis

2026

Journal Article

Securing the Unseen: A Comprehensive Exploration Review of <scp>AI</scp> ‐Powered Models for Zero‐Day Attack Detection

Al Siam, Abdullah, Faruqui, Nuruzzaman, Azad, Akm and Moni, Mohammad Ali (2026). Securing the Unseen: A Comprehensive Exploration Review of AI ‐Powered Models for Zero‐Day Attack Detection. Expert Systems, 43 (3) e70217. doi: 10.1111/exsy.70217

Securing the Unseen: A Comprehensive Exploration Review of <scp>AI</scp> ‐Powered Models for Zero‐Day Attack Detection

2026

Journal Article

Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances

Rajbongshi, Aditya, Johora, Fatema Tuz, Hossain, Arafat, Sarker, Md. Salauddin, Rahman, Md Habibur, Rahman, Md Wahidur, Alotaibi, Fahad T. and Moni, Mohammad Ali (2026). Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances. Artificial Intelligence Review, 59 (3) 105, 1-46. doi: 10.1007/s10462-025-11459-5

Leveraging explainable AI for sustainable agriculture: a comprehensive review of recent advances

2026

Journal Article

A comparative study of machine learning models for identification of antiviral peptides using various encoded features

Hasan, Md. Zahid, Shakil, Md. Shahriar, Karim, Tasmin, Shaon, Md. Shazzad Hossain, Sultan, Md. Fahim, Rupa, Fatema Hashem, Almoyad, Muhammad Ali Abdullah, Rahman, Md. Tanvir, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2026). A comparative study of machine learning models for identification of antiviral peptides using various encoded features. IEEE Transactions on Computational Biology and Bioinformatics, PP (99), 1-14. doi: 10.1109/tcbbio.2026.3654071

A comparative study of machine learning models for identification of antiviral peptides using various encoded features

2026

Journal Article

Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformatics

Asa, Tania Akter, Hossain, Md Ali, Ali, Md Shahjahan, Mahmud, Md Zulfiker, Azad, A. K. M., Rahman, Mohammad Zahidur and Moni, Mohammad Ali (2026). Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformatics. Briefings in Functional Genomics, 25 elaf019, 1-17. doi: 10.1093/bfgp/elaf019

Unraveling risk factors and transcriptomic signatures in liver cancer progression and mortality through machine learning and bioinformatics

2026

Journal Article

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning

Chowdhury, Mohammad Rocky Khan, Dinh, Diem T, Brennan, Angela, Reid, Christopher M, Nanayakkara, Shane, Lefkovits, Jeffrey, Chew, Derek P, Karim, Md Nazmul, Moni, Mohammad Ali, Islam, Md Shofiqul, Billah, Baki and Stub, Dion (2026). Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning. Open Heart, 13 (1), e003619. doi: 10.1136/openhrt-2025-003619

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning

2026

Journal Article

StackAPP: Advancing autophagy protein identification with ensemble learning

Shoyshob, Munem Shahriar, Al-Tabatabaie, Kusay Faisal, Abdulrazak, Lway Faisal, Rahman, Md. Ashikur, Ali, Md. Mamun, Ibrahim, Sobhy M., Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2026). StackAPP: Advancing autophagy protein identification with ensemble learning. Analytical Biochemistry, 708 115981, 115981-708. doi: 10.1016/j.ab.2025.115981

StackAPP: Advancing autophagy protein identification with ensemble learning

2026

Journal Article

A Secure and Interpretable Federated Learning Framework for Diabetes Prediction with Blockchain-Enabled Security

Ahmed, Shamim, Chaki, Sudipto, Kaiser, M Shamim, Ali, A B M Shawkat and Moni, Mohammad Ali (2026). A Secure and Interpretable Federated Learning Framework for Diabetes Prediction with Blockchain-Enabled Security. IEEE Transactions on Artificial Intelligence, 1-15. doi: 10.1109/tai.2026.3660813

A Secure and Interpretable Federated Learning Framework for Diabetes Prediction with Blockchain-Enabled Security

2026

Journal Article

A Decision Support System for Ovarian Cancer Classification Using Clinical Features from Ultrasound Imaging

Khokan, Md Ibrahim Patwary, Tonni, Tasnim Jahan, Fatema, Kaniz, Hasan, Md. Zahid, Rony, Md. Awlad Hossen, Rahman, Md. Tanvir, Khan, Risala Tasin, Moni, Mohammad Ali and Mahmud, ASM Ashraf (2026). A Decision Support System for Ovarian Cancer Classification Using Clinical Features from Ultrasound Imaging. IEEE Access, 14, 1-1. doi: 10.1109/access.2026.3690545

A Decision Support System for Ovarian Cancer Classification Using Clinical Features from Ultrasound Imaging

2026

Journal Article

Prevention and management of heart failure associated with type 2 diabetics in rural Australia

Ross, Allen G., Mondal, Utpal K., Mahmood, Shakeel, Astawesegn, Feleke H., Anyasodor, Anayochukwu E., Huda, M. Mamun, Thapa, Subash, Aychiluhm, Setognal B., Giri, Santosh, Rahman, Md. Ferdous, Shiddiky, Muhammad J. A., Moni, Mohammad Ali and Ahmed, Kedir Y. (2026). Prevention and management of heart failure associated with type 2 diabetics in rural Australia. Journal of Clinical Medicine, 15 (1) 304, 1-14. doi: 10.3390/jcm15010304

Prevention and management of heart failure associated with type 2 diabetics in rural Australia

2026

Journal Article

An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis

Bristy, Sadia Afrin, Hossain, Md Arju, Hasan, Md Imran, Mahmud, S. M. Hasan, Moni, Mohammad Ali and Rahman, Md Habibur (2026). An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis. Briefings in Functional Genomics, 25 elaf027, 1-17. doi: 10.1093/bfgp/elaf027

An integrated complete-genome sequencing and systems biology approach to predict antimicrobial resistance genes in the virulent bacterial strains of Moraxella catarrhalis

2026

Journal Article

Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM

Rahman, Md. Ashikur, Ali, Md Mamun, Ahmed, Kawsar, Mahmud, Imran, Bui, Francis M., Chen, Li and Moni, Mohammad Ali (2026). Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM. IEEE Transactions on Artificial Intelligence, 7 (1), 562-570. doi: 10.1109/tai.2025.3567434

Deep3BPP: identification of blood-brain barrier penetrating peptides using word embedding feature extraction method and CNN-LSTM

2026

Journal Article

Quantifying the fatal and non-fatal burden of disease associated with child growth failure, 2000–2023: a systematic analysis from the Global Burden of Disease Study 2023

Troeger, Christopher E., Arndt, Michael Benjamin, Aalruz, Hasan, Abdoun, Meriem, Abdullahi, Auwal, Abebe, Mesfin, Abedi, Armita, Abie, Alemwork, Aboagye, Richard Gyan, Abolhassani, Hassan, Abtew, Yonas Derso, Abu-Zaid, Ahmed, Adamu, Lawan Hassan, Adane, Mesafint Molla, Addo, Isaac Yeboah, Adegboye, Oyelola A., Adekanmbi, Victor, Adetunji, Juliana Bunmi, Adnani, Qorinah Estiningtyas Sakilah, Adzigbli, Leticia Akua, Afzal, Muhammad Sohail, Afzal, Saira, Aggarwal, Navidha, Ahmad, Aqeel, Ahmad, Muayyad M., Ahmad, Sajjad, Ahmadi, Elham, Ahmed, Ayman, Ahmed, Haroon ... Reiner, Robert C. (2026). Quantifying the fatal and non-fatal burden of disease associated with child growth failure, 2000–2023: a systematic analysis from the Global Burden of Disease Study 2023. The Lancet Child and Adolescent Health, 10 (1), 22-38. doi: 10.1016/s2352-4642(25)00303-7

Quantifying the fatal and non-fatal burden of disease associated with child growth failure, 2000–2023: a systematic analysis from the Global Burden of Disease Study 2023

2026

Journal Article

Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a global burden of disease study

Kang, Jiseung, Kim, Hyeon Jin, Kim, Min Seo, Zyoud, Sa’ed H., Zielińska, Magdalena, Zhu, Bin, Zhong, Anthony, Zhang, Jingya, Zhang, Haijun, Zeariya, Mohammed G. M., Zanghì, Aurora, Zakham, Fathiah, Yusuf, Hadiza, Yu, Chuanhua, Yonemoto, Naohiro, Yip, Paul, Yin, Dehui, Yesodharan, Renjulal, Yahaya, Zwanden Sule, Wilandika, Angga, Wickramasinghe, Nuwan Darshana, Wang, Shu, Wang, Yuan-Pang, Walde, Mandaras Tariku, Waheed, Yasir, Vujcic, Isidora S., Vinayak, Manish, Verras, Georgios-Ioannis, Vaziri, Siavash ... Yon, Dong Keon (2026). Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a global burden of disease study. Nature Medicine, 32 (2), 527-544. doi: 10.1038/s41591-025-04137-0

Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a global burden of disease study

2026

Journal Article

Author Correction: Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study (Nature Medicine, (2026), 32, 2, (527-544), 10.1038/s41591-025-04137-0)

Kang, Jiseung, Kim, Hyeon Jin, Kim, Min Seo, Zyoud, Sa’ed H., Zielińska, Magdalena, Zhu, Bin, Zhong, Anthony, Zhang, Jingya, Zhang, Haijun, Zeariya, Mohammed G. M., Zanghì, Aurora, Zakham, Fathiah, Yusuf, Hadiza, Yu, Chuanhua, Yonemoto, Naohiro, Yip, Paul, Yin, Dehui, Yesodharan, Renjulal, Yahaya, Zwanden Sule, Wilandika, Angga, Wickramasinghe, Nuwan Darshana, Wang, Shu, Wang, Yuan-Pang, Walde, Mandaras Tariku, Waheed, Yasir, Vujcic, Isidora S., Vinayak, Manish, Verras, Georgios-Ioannis, Vaziri, Siavash ... Yon, Dong Keon (2026). Author Correction: Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study (Nature Medicine, (2026), 32, 2, (527-544), 10.1038/s41591-025-04137-0). Nature Medicine. doi: 10.1038/s41591-026-04513-4

Author Correction: Global burden of amphetamine, cannabis, cocaine and opioid use in 204 countries, 1990–2023: a Global Burden of Disease Study (Nature Medicine, (2026), 32, 2, (527-544), 10.1038/s41591-025-04137-0)

2026

Journal Article

QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy Classification

Ronggon, Asif Akhtab, Hossain, Tuhin, Alahmadi, Tahani Jaser and Moni, Mohammad Ali (2026). QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy Classification. Advanced Quantum Technologies, 9 (1) e00651, 1. doi: 10.1002/qute.202500651

QKNN: Noise‐Resilient Quantum KNN Algorithm for High‐Accuracy Classification

2025

Journal Article

Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap

Mahmood, Shakeel, Huda, M Mamun, Ahmed, Kedir Yimam, Subash, Thapa, Astawesegn, Feleke Hailemichael, Anyasodor, Anayochukwu Edward, Moni, Mohammad Ali, Shiddiky, Muhammad J A, Mondal, Utpal K, Aychiluhm, Setognal Birara, Giri, Santosh and Ross, Allen G (2025). Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap. Interactive Journal of Medical Research, 14 e89755, e89755. doi: 10.2196/89755

Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap

2025

Journal Article

Digital health for Australia: bridging the rural, regional, and remote health gap

Mahmood, Shakeel, Huda, M. Mamun, Yimam Ahmed, Kedir, Subash, Thapa, Astawesegn, Feleke Hailemichael, Anyasodor, Anayochukwu Edward, Moni, Mohammad Ali, Shiddiky, Muhammad J. A., Mondal, Utpal K., Aychiluhm, Setognal Birara, Giri, Santosh and Ross, Allen (2025). Digital health for Australia: bridging the rural, regional, and remote health gap. Interactive Journal of Medical Research, 14 e67460, 1-10. doi: 10.2196/67460

Digital health for Australia: bridging the rural, regional, and remote health gap