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2026

Journal Article

Tuberculosis notification trends and treatment outcomes in Bangladesh: findings from a National TB Program data, 2019–2021

Sujan, Mohammad Julhas, Rahman, Afzalur, Taleb, Abu, Khan, Ahmadul Hasan, Sultana, Shanjida Rahman, Moni, Mohammad Ali, Reza, Hasan Mahmud, Khan, Md Hasinur Rahman and Hossain, Ahmed (2026). Tuberculosis notification trends and treatment outcomes in Bangladesh: findings from a National TB Program data, 2019–2021. BMC Infectious Diseases, 26 (1) 464. doi: 10.1186/s12879-026-12664-5

Tuberculosis notification trends and treatment outcomes in Bangladesh: findings from a National TB Program data, 2019–2021

2026

Journal Article

Field pathogenomics and evolutionary conservation unveil CRISPR-targetable susceptibility genes for wheat blast resistance

Khayer, Abul, Ye, Peng, Eti, Fatiha Sultana, Sakif, Tahsin Islam, Azad, Rojana Binte, Ali, Julfikar, Gupta, Dipali Rani, Asuke, Soichiro, Pan, Qinghua, Moni, Mohammad Ali, Kang, Houxiang and Islam, Tofazzal (2026). Field pathogenomics and evolutionary conservation unveil CRISPR-targetable susceptibility genes for wheat blast resistance. Scientific Reports, 16 (1) 5677, 1. doi: 10.1038/s41598-026-36547-6

Field pathogenomics and evolutionary conservation unveil CRISPR-targetable susceptibility genes for wheat blast resistance

2026

Journal Article

Transparent deep learning for medicinal plant recognition: A hybrid CNN–ViT approach with explainable AI on BDHerbalPlants

Khandaker, Sunzil, Rahman, Md Mizanur, Azad, AKM, Moni, Mohammad Ali and Hossain, Md. Ali (2026). Transparent deep learning for medicinal plant recognition: A hybrid CNN–ViT approach with explainable AI on BDHerbalPlants. Smart Agricultural Technology, 14 101862, 101862-14. doi: 10.1016/j.atech.2026.101862

Transparent deep learning for medicinal plant recognition: A hybrid CNN–ViT approach with explainable AI on BDHerbalPlants

2026

Journal Article

A positional transformer-based encoder-decoder network for segmentation of the gastrointestinal tract

Nobel, SM Nuruzzaman, Swapno, S M Masfequier Rahman, Azad, AKM and Moni, Mohammad Ali (2026). A positional transformer-based encoder-decoder network for segmentation of the gastrointestinal tract. Expert Systems with Applications, 322 132260, 132260. doi: 10.1016/j.eswa.2026.132260

A positional transformer-based encoder-decoder network for segmentation of the gastrointestinal tract

2026

Journal Article

Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis

Borno, Md. Naimur Asif, Shovon, Md Sakib Hossain, Sikder, MD Hanif, Rimi, Iffat Firozy, Alahmadi, Tahani Jaser and Moni, Mohammad Ali (2026). Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis. Knowledge-Based Systems, 343 115948, 115948. doi: 10.1016/j.knosys.2026.115948

Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosis

2026

Journal Article

DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals

Akter, Sanjida, Masud, Md. Akmol, Promi, Mst. Sanzida Islam, Sultana, Nadia, Ahmed, Maruf, Rahman, Md. Mahmudur, Yousuf, Mohammad Abu, Aloteibi, Saad and Moni, Mohammad Ali (2026). DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals. Biomedical Signal Processing and Control, 114 109291, 109291-114. doi: 10.1016/j.bspc.2025.109291

DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signals

2026

Journal Article

A Weighted Federated Learning Framework for Privacy-Preserving EEG-Based Diagnosis of Major Depressive Disorder

Parvej, Rahat, Kamal, A.H.M., Bulbul, Abdullah Al-Mamun, Aloteibi, Saad and Moni, Mohammad Ali (2026). A Weighted Federated Learning Framework for Privacy-Preserving EEG-Based Diagnosis of Major Depressive Disorder. Signal Processing 110670, 110670. doi: 10.1016/j.sigpro.2026.110670

A Weighted Federated Learning Framework for Privacy-Preserving EEG-Based Diagnosis of Major Depressive Disorder

2026

Journal Article

Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Sirota, Sarah Brooke, Bender, Rose Grace, Dominguez, Regina-Mae Villanueva, Movo, Amanda, Swetschinski, Lucien R, Araki, Daniel T, Han, Chieh, Wool, Eve E, He, Jiawei, Carter, Austin, A.J. Jabbar, Ahmed, Aalipour, Mohammad Amin, Aalruz, Hasan, Abbasi Dolatabadi, Zahra, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdalla, Ashraf Nabiel, Abdalla, Mohammed Altigani, Abdullah,, Abdallah, Emad M., Abdel Razeq, Nadin M.I., Abdelkader, Atef, Abd-Elsalam, Sherief, Abdelwahab, Siddig Ibrahim, Abdoun, Meriem, Abdous, Arman, Abdrabou, Mostafa M., Abdul Aziz, Jeza Muhamad, Abdulah, Deldar Morad ... Kyu, Hmwe Hmwe (2026). Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet Infectious Diseases, 26 (4), 343-361. doi: 10.1016/s1473-3099(25)00689-9

Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

2026

Journal Article

RGNN3D: a hybrid radiomic graph neural network for 3D MRI glioma grading

Ali, Md Aiyub, Hossain, Md Shakhawat, Shuva, Taslima Ferdaus, Almoyad, Muhammad Ali Abdullah, Orka, Nabil Anan, Khan, Risala Tasin, Kaiser, M. Shamim, Rahman, Md Tanvir and Moni, Mohammad Ali (2026). RGNN3D: a hybrid radiomic graph neural network for 3D MRI glioma grading. Knowledge-Based Systems, 337 115343, 1-11. doi: 10.1016/j.knosys.2026.115343

RGNN3D: a hybrid radiomic graph neural network for 3D MRI glioma grading

2026

Journal Article

Deep learning for ECG-based cardiovascular disease diagnosis: a systematic review and meta-analysis

Bulbul, Abdullah Al-Mamun, Awal, Md. Abdul, Mahendran, Niruthikha, Islam, Sheikh Mohammed Shariful, Pogrebna, Ganna, Ross, Allen G. and Moni, Mohammad Ali (2026). Deep learning for ECG-based cardiovascular disease diagnosis: a systematic review and meta-analysis. Artificial Intelligence Review. doi: 10.1007/s10462-025-11479-1

Deep learning for ECG-based cardiovascular disease diagnosis: a systematic review and meta-analysis

2026

Journal Article

Global, regional, and national burden of Chagas disease, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

Cousin, Ewerton, Nascimento, Bruno Ramos, Whisnant, Joanna L, Zimsen, Stephanie R M, Harris, Ashley Ann, Machado, Isis Eloah, Martins-Melo, Francisco Rogerlândio, Demacq, Caroline, Perel, Pablo, Geissbühler, Yvonne, Abbasi, Madineh, Abdel-Hameed, Reda, Abdul Aziz, Jeza Muhamad, Abedi, Armita, Abramov, Dmitry, Abu-Gharbieh, Eman, Adegboye, Oyelola A, Afzal, Muhammad Sohail, Afzal, Saira, Ahmad, Sajjad, Ahmed, Ayman, Akinosoglou, Karolina, Al Awaidy, Salah, Ali, Syed Shujait, Almazan, Joseph Uy, Alshahrani, Najim Z., Alvis-Zakzuk, Nelson J, Anvari, Saeid, Arab, Juan Pablo ... GBD 2023 Chagas Disease and RAISE Study Collaborators (2026). Global, regional, and national burden of Chagas disease, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet Infectious Diseases, 26 (3), 284-301. doi: 10.1016/s1473-3099(25)00562-6

Global, regional, and national burden of Chagas disease, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023

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

An explainable deep learning model for mulberry leaf classification and disease detection

Nobel, S.M. Nuruzzaman, Tasir, Md All Moon, Sultana, Shirin, Al-Moisheer, Asmaa Soliman and Moni, Mohammad Ali (2026). An explainable deep learning model for mulberry leaf classification and disease detection. Engineering Applications of Artificial Intelligence, 165 113470, 113470. doi: 10.1016/j.engappai.2025.113470

An explainable deep learning model for mulberry leaf classification and disease detection

2026

Journal Article

Deep ensemble of multi-head attention CNNs for histopathological image-based of lung and colon cancer diagnosis

Rahman, A. K. Z Rasel, Swapno, S M Masfequier Rahman, Raha, Avi Deb, Biswas, Sujit, Khan, Shakil, Khushbu, Katura Gania, Reza, Ahmed Wasif, Bairagi, Anupam Kumar, Aloteibi, Saad and Moni, Mohammad Ali (2026). Deep ensemble of multi-head attention CNNs for histopathological image-based of lung and colon cancer diagnosis. DIGITAL HEALTH, 12 20552076261444271. doi: 10.1177/20552076261444271

Deep ensemble of multi-head attention CNNs for histopathological image-based of lung and colon cancer diagnosis

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, 3. doi: 10.1007/s10462-025-11459-5

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

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