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2026 Journal Article Tuberculosis notification trends and treatment outcomes in Bangladesh: findings from a National TB Program data, 2019–2021Sujan, 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 |
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2026 Journal Article Correction: Racial disparity in mortality from tuberculosis in the US between states with and without a history of Jim-Crow laws: an analysis of the Global Burden of Disease (GBD) and risk factors study, 1990 to 2019 (BMC Public Health, (2024), 24, 1, (3075), 10.1186/s12889-024-20522-9)Gona, Philimon N., Estrada‑Martinez, Lorena M., Zhang, Lingling, Gona, Clara M., Mody, Aaloke, Rao, Sowmya R., Cooper, Joseph, Mack‑Shelton, Kibibi, Chen, Ping, Leveille, Suzanne G., Mokdad, Ali H., Zumla, Alimuddin, Zodpey, Sanjay, Zhang, Yunquan, Zhang, Haijun, Zastrozhin, Michael, Zarenezhad, Elham, Zarea, Kourosh, Zare, Iman, Zaki, Leila, Zakham, Fathiah, Yu, Chuanhua, Yonemoto, Naohiro, Yip, Paul, Yi, Siyan, Ye, Pengpeng, Yaya, Sanni, Xiao, Hong, Wickramasinghe, Nuwan Darshana ... Abady, Gdiom Gebreheat (2026). Correction: Racial disparity in mortality from tuberculosis in the US between states with and without a history of Jim-Crow laws: an analysis of the Global Burden of Disease (GBD) and risk factors study, 1990 to 2019 (BMC Public Health, (2024), 24, 1, (3075), 10.1186/s12889-024-20522-9). BMC Public Health, 26 (1) 1108. doi: 10.1186/s12889-025-26090-w |
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2026 Journal Article Field pathogenomics and evolutionary conservation unveil CRISPR-targetable susceptibility genes for wheat blast resistanceKhayer, 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, 1-11. doi: 10.1038/s41598-026-36547-6 |
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2026 Journal Article Transparent deep learning for medicinal plant recognition: A hybrid CNN–ViT approach with explainable AI on BDHerbalPlantsKhandaker, 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 |
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2026 Journal Article A positional transformer-based encoder-decoder network for segmentation of the gastrointestinal tractNobel, 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 |
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2026 Journal Article Decentralized LoRA augmented transformer with multi-scale feature learning for secured eye diagnosisBorno, 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, 115948-343. doi: 10.1016/j.knosys.2026.115948 |
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2026 Journal Article Deep learning for ECG-based cardiovascular disease diagnosis: a systematic review and meta-analysisBulbul, 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, 59 (6) 136, 6. doi: 10.1007/s10462-025-11479-1 |
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2026 Journal Article AI-enabled clinically aligned fewer-lead ECG approaches for detecting cardiovascular diseasesSikandar, Tasriva, Hasan, Md. Tariq, Azad, AKM, Khan, Asaduzzaman and Moni, Mohammad Ali (2026). AI-enabled clinically aligned fewer-lead ECG approaches for detecting cardiovascular diseases. Artificial Intelligence Review. doi: 10.1007/s10462-026-11577-8 |
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2026 Journal Article Global, regional, and national levels and trends in maternal mortality, progress towards the Sustainable Development Goals, and mortality from COVID-19 infection in pregnant women, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023Faith, Jennifer, Martopullo, Ira, Arndt, Michael Benjamin, Letourneau, Ian D, Aalruz, Hasan, Abaraogu, Ukachukwu O, Abbastabar, Hedayat, Abdel Razeq, Nadin M.I., Abdul Aziz, Jeza Muhamad, Abdulah, Deldar Morad, Abdullahi, Auwal, Abdulraheem, Abdullahi Salahudeen, Abebe, Mesfin, Abebe, Melese Shenkut, Abedi, Armita, Abedini, Mehrandokht, Abie, Alemwork, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Aborode, Abdullahi Tunde, Abouelmagd, Moaz Elsayed, Abourashed, Nagah M., Abtahi, Dariush, Abu Farha, Rana Kamal, Abuadas, Fuad Hamdi A., Abuhammad, Sawsan, Abuhelwa, Ahmad Y, Abukhadijah, Hana J ... Dirac, M Ashworth (2026). Global, regional, and national levels and trends in maternal mortality, progress towards the Sustainable Development Goals, and mortality from COVID-19 infection in pregnant women, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet Obstetrics, Gynaecology, & Women's Health, 2 (5), e375-e424. doi: 10.1016/s3050-5038(26)00047-6 |
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2026 Journal Article Global, regional, and national burden of meningitis, its risk factors, and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023Sirota, Sarah Brooke, Bender, Rose Grace, Dominguez, Regina-Mae Villanueva, Vongpradith, Avina, Movo, Amanda, Swetschinski, Lucien R, Araki, Daniel T, Han, Chieh, Wool, Eve E, A.J. Jabbar, Ahmed, Aalipour, Mohammad Amin, Aalruz, Hasan, Abbasi, Madineh, Abbasifard, Mitra, Abbaspour, Faezeh, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdalla, Mohammed Altigani, Abdallah, Emad M., Abdel Razeq, Nadin M.I., Abd-Elsalam, Sherief, Abdelwahab, Omar Ahmed, Abdoun, Meriem, Abdous, Arman, Abdrabou, Mostafa M., Abdul Aziz, Jeza Muhamad, Abdulkader, Rizwan Suliankatchi, Abdullahi, Auwal, Abdulmalik, Abisola Esther ... Kyu, Hmwe Hmwe (2026). Global, regional, and national burden of meningitis, its risk factors, and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023. The Lancet Neurology, 25 (5), 451-468. doi: 10.1016/s1474-4422(26)00101-8 |
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2026 Journal Article Boosting brain tumor detection accuracy in MRI using transfer learning and fine-tuned DeepLabv3+Soomro, Toufique A., Fatihi, Ayoub, Zheng, Lihong, Awais, Muhammad, Afifi, Ahmed Jamal, Arnaout, Jean-Paul, Al-Moisheer, Asmaa Soliman and Moni, Mohammad Ali (2026). Boosting brain tumor detection accuracy in MRI using transfer learning and fine-tuned DeepLabv3+. IEEE Open Journal of the Computer Society, PP (99), 1-12. doi: 10.1109/ojcs.2026.3688451 |
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2026 Journal Article A Weighted Federated Learning Framework for Privacy-Preserving EEG-Based Diagnosis of Major Depressive DisorderParvej, 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, 247 110670, 110670-247. doi: 10.1016/j.sigpro.2026.110670 |
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2026 Journal Article Global burden of lower respiratory infections and aetiologies, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023Sirota, 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 |
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2026 Journal Article DREAM: A novel explainable neural network for detecting sleep apnea using single-lead ECG signalsAkter, 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 |
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2026 Journal Article RGNN3D: a hybrid radiomic graph neural network for 3D MRI glioma gradingAli, 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 |
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2026 Journal Article CWT-based transfer learning model with optimal channel selection for the detection of MDD using EEG signalsMohanto, Rudro, Shamim-Al-Mamun, Md, Sufi, Farhana Binte, Ali, Sarwar, Alahmadi, Tahani Jaser, Moni, Mohammad Ali and Islam, M. Babul (2026). CWT-based transfer learning model with optimal channel selection for the detection of MDD using EEG signals. Knowledge-Based Systems, 336 115331, 1-10. doi: 10.1016/j.knosys.2026.115331 |
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2026 Journal Article Global, regional, and national burden of Chagas disease, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023Cousin, 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 |
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2026 Conference Publication Demography aware correlation preserving augmentation framework for 12-Lead ECGBulbul, Abdullah Al–Mamun, Awal, Md Abdul, Sandhu, Moid and Moni, Mohammad Ali (2026). Demography aware correlation preserving augmentation framework for 12-Lead ECG. International Conference on Artificial Intelligence, Computer, Data Sciences, and Applications, ACDSA 2026, Boracay Island, Philippines, 5-7 February 2026. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/acdsa67686.2026.11467876 |
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2026 Journal Article An explainable deep learning model for mulberry leaf classification and disease detectionNobel, 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 |
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2026 Journal Article Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosisAl 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 |
