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2025 Journal Article A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequencesMehedi, Sk. Tanzir, Abdulrazak, Lway Faisal, Ahmed, Kawsar, Uddin, Muhammad Shahin, Bui, Francis M., Chen, Li, Moni, Mohammad Ali and Al-Zahrani, Fahad Ahmed (2025). A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences. Scientific Reports, 15 (1) 7291. doi: 10.1038/s41598-025-89612-x |
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2025 Journal Article Quantum deep learning in neuroinformatics: a systematic reviewOrka, Nabil Anan, Awal, Md. Abdul, Liò, Pietro, Pogrebna, Ganna, Ross, Allen G. and Moni, Mohammad Ali (2025). Quantum deep learning in neuroinformatics: a systematic review. Artificial Intelligence Review, 58 (5) 134. doi: 10.1007/s10462-025-11136-7 |
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2025 Journal Article A Hybrid Transfer Learning Framework for Brain Tumor DiagnosisTonni, Sadia Islam, Sheakh, Md. Alif, Tahosin, Mst. Sazia, Hasan, Md. Zahid, Shuva, Taslima Ferdaus, Bhuiyan, Touhid, Almoyad, Muhammad Ali Abdullah, Orka, Nabil Anan, Rahman, Md. Tanvir, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2025). A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis. Advanced Intelligent Systems. doi: 10.1002/aisy.202400495 |
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2025 Journal Article WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysisRajee, Alimul, Satu, Md. Shahriare, Abedin, Mohammad Zoynul, Ali, K.M. Akkas, Aloteibi, Saad and Moni, Mohammad Ali (2025). WFFS—An ensemble feature selection algorithm for heterogeneous traffic accident data analysis. Knowledge-Based Systems, 311 113089, 113089-311. doi: 10.1016/j.knosys.2025.113089 |
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2025 Journal Article A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesNahiduzzaman, Md., Abdulrazak, Lway Faisal, Kibria, Hafsa Binte, Khandakar, Amith, Ayari, Mohamed Arselene, Ahamed, Md. Faysal, Ahsan, Mominul, Haider, Julfikar, Moni, Mohammad Ali and Kowalski, Marcin (2025). A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images. Scientific Reports, 15 (1) 1649. doi: 10.1038/s41598-025-85874-7 |
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2025 Journal Article MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpaintingAsad, Nafiz Al, Pranto, Md. Appel Mahmud, Shiam, Shbiruzzaman, Akand, Musaddeq Mahmud, Yousuf, Mohammad Abu, Hasan, Khondokar Fida and Moni, Mohammad Ali (2025). MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting. Neural Computing and Applications, 37 (7) 106789, 5459-5480. doi: 10.1007/s00521-024-10886-9 |
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2025 Journal Article Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detectionIslam, Md Shofiqul, Hasan, Khondokar Fida, Shajeeb, Hasibul Hossain, Rana, Humayan Kabir, Rahman, Md. Saifur, Hasan, Md. Munirul, Azad, AKM, Abdullah, Ibrahim and Moni, Mohammad Ali (2025). Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection. AI Open, 6, 12-44. doi: 10.1016/j.aiopen.2025.01.003 |
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2024 Journal Article Global, regional, and national progress towards the 2030 global nutrition targets and forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2021Arndt, Michael Benjamin, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdulah, Deldar Morad, Abdulkader, Rizwan Suliankatchi, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abtew, Yonas Derso, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Acuna, Juan Manuel, Adamu, Kidist, Adane, Denberu Eshetie, Addo, Isaac Yeboah, Adeyinka, Daniel Adedayo, Adnani, Qorinah Estiningtyas Sakilah, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Afzal, Saira, Agodi, Antonella, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Sajjad, Ahmad, Tauseef ... Reiner, Robert C (2024). Global, regional, and national progress towards the 2030 global nutrition targets and forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10471), 2543-2583. doi: 10.1016/S0140-6736(24)01821-X |
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2024 Journal Article Burden of disease scenarios by state in the USA, 2022–50: a forecasting analysis for the Global Burden of Disease Study 2021Mokdad, Ali H, Bisignano, Catherine, Hsu, Johnathan M, Bryazka, Dana, Cao, Shujin, Bhattacharjee, Natalia V, Dalton, Bronte E, Lindstedt, Paulina A, Smith, Amanda E, Ababneh, Hazim S, Abbasgholizadeh, Rouzbeh, Abdelkader, Atef, Abdi, Parsa, Abiodun, Olugbenga Olusola, Aboagye, Richard Gyan, Abukhadijah, Hana J, Abu-Zaid, Ahmed, Acuna, Juan Manuel, Addo, Isaac Yeboah, Adekanmbi, Victor, Adeyeoluwa, Temitayo Esther, Adzigbli, Leticia Akua, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh, Agyemang-Duah, Williams, Ahmad, Shahzaib, Ahmadzade, Mohadese, Ahmed, Ali, Ahmed, Ayman ... Murray, Christopher J L (2024). Burden of disease scenarios by state in the USA, 2022–50: a forecasting analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10469), 2341-2370. doi: 10.1016/S0140-6736(24)02246-3 |
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2024 Journal Article The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021Mokdad, Ali H, Bisignano, Catherine, Hsu, Johnathan M, Aldridge, Robert W, Aravkin, Aleksandr Y, Brauer, Michael, Bryazka, Dana, Cagney, Jack, Cogen, Rebecca M, Culbreth, Garland T, Dai, Xiaochen, Daoud, Farah, Degenhardt, Louisa, Dwyer-Lindgren, Laura, Feigin, Valery L, Flor, Luisa S, Fu, Weijia, Gardner, William M, Haakenstad, Annie, Haile, Demewoz, Hamilton, Erin B, Hay, Simon I, Ikuta, Kevin S, Kassebaum, Nicholas J, Lim, Stephen S, Mestrovic, Tomislav, Moberg, Madeline E, Mougin, Vincent, Naghavi, Mohsen ... Zyoud, Sa'ed H (2024). The burden of diseases, injuries, and risk factors by state in the USA, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet, 404 (10469), 2314-2340. doi: 10.1016/S0140-6736(24)01446-6 |
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2024 Journal Article An Integrated Framework to Identify Prognostic Biomarkers and Novel Therapeutic Targets in Hepatocellular Carcinoma-Based DisabilitiesRahman, Md. Okibur, Das, Asim, Naeem, Nazratun, Jabeen-E-Tahnim, , Hossain, Md. Ali, Alam, Md. Nur, Azad, A. K.M., Alyami, Salem A., Alotaibi, Naif, Al-Moisheer, A. S. and Moni, Mohammod Ali (2024). An Integrated Framework to Identify Prognostic Biomarkers and Novel Therapeutic Targets in Hepatocellular Carcinoma-Based Disabilities. Biology, 13 (12) 966, 966. doi: 10.3390/biology13120966 |
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2024 Journal Article DeepQSP: identification of quorum sensing peptides through neural network modelAshikur Rahman, Md., Mamun Ali, Md., Ahmed, Kawsar, Mahmud, Imran, Bui, Francis M., Chen, Li, Kumar, Santosh and Moni, Mohammad Ali (2024). DeepQSP: identification of quorum sensing peptides through neural network model. Results in Engineering, 24 102878, 102878. doi: 10.1016/j.rineng.2024.102878 |
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2024 Journal Article Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithmsAsadi, Shirin, Tartibian, Bakhtyar, Moni, Mohammad Ali and Eslami, Rasoul (2024). Prediction of white blood cell count during exercise: a comparison between standalone and hybrid intelligent algorithms. Scientific Reports, 14 (1) 20683. doi: 10.1038/s41598-024-71576-z |
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2024 Journal Article Correction to: A computational approach to design a polyvalent vaccine against human respiratory syncytial virus (Scientific Reports, (2023), 13, 1, (9702), 10.1038/s41598-023-35309-y)Moin, Abu Tayab, Ullah, Md. Asad, Patil, Rajesh B., Faruqui, Nairita Ahsan, Araf, Yusha, Das, Sowmen, Uddin, Khaza Md. Kapil, Hossain, Md. Shakhawat, Miah, Md. Faruque, Moni, Mohammad Ali, Chowdhury, Dil Umme Salma and Islam, Saiful (2024). Correction to: A computational approach to design a polyvalent vaccine against human respiratory syncytial virus (Scientific Reports, (2023), 13, 1, (9702), 10.1038/s41598-023-35309-y). Scientific Reports, 14 (1) 15721. doi: 10.1038/s41598-024-66721-7 |
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2024 Journal Article Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021Kyu, Hmwe Hmwe, Vongpradith, Avina, Dominguez, Regina-Mae Villanueva, Ma, Jianing, Albertson, Samuel B, Novotney, Amanda, Khalil, Ibrahim A, Troeger, Christopher E, Doxey, Matthew C, Ledesma, Jorge R, Sirota, Sarah Brooke, Bender, Rose Grace, Swetschinski, Lucien R, Cunningham, Matthew, Spearman, Sandra, Abate, Yohannes Habtegiorgis, Abd Al Magied, Abdallah H A, Abd ElHafeez, Samar, Abdoun, Meriem, Abera, Bayeh, Abidi, Hassan, Aboagye, Richard Gyan, Abtew, Yonas Derso, Abualruz, Hasan, Abu-Gharbieh, Eman, Abukhadijah, Hana J, Aburuz, Salahdein, Addo, Isaac Yeboah, Adekanmbi, Victor ... Murray, Christopher J L (2024). Global, regional, and national age-sex-specific burden of diarrhoeal diseases, their risk factors, and aetiologies, 1990–2021, for 204 countries and territories: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Infectious Diseases. doi: 10.1016/s1473-3099(24)00691-1 |
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2024 Journal Article The global, regional, and national burden of urolithiasis in 204 countries and territories, 2000–2021: a systematic analysis for the Global Burden of Disease Study 2021Awedew, Atalel Fentahun, Han, Hannah, Berice, Bétyna N., Dodge, Maxwell, Schneider, Rachel D., Abbasi-Kangevari, Mohsen, Al-Aly, Ziyad, Almidani, Omar, Alvand, Saba, Arabloo, Jalal, Aravkin, Aleksandr Y., Ayana, Tegegn Mulatu, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhaskar, Sonu, Bikbov, Boris, Caetano dos Santos, Florentino Luciano, Charan, Jaykaran, Cruz-Martins, Natalia, Dadras, Omid, Dai, Xiaochen, Digesa, Lankamo Ena, Elhadi, Muhammed, Elmonem, Mohamed A., Esezobor, Christopher Imokhuede, Fatehizadeh, Ali, Gebremeskel, Teferi Gebru, Getachew, Motuma Erena, Ghamari, Seyyed-Hadi ... Dirac, M. Ashworth (2024). The global, regional, and national burden of urolithiasis in 204 countries and territories, 2000–2021: a systematic analysis for the Global Burden of Disease Study 2021. eClinicalMedicine, 78 102924, 102924. doi: 10.1016/j.eclinm.2024.102924 |
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2024 Journal Article Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021Carter, Austin, Zhang, Meixin, Tram, Khai Hoan, Walters, Magdalene K, Jahagirdar, Deepa, Brewer, Edmond D, Novotney, Amanda, Lasher, Dylan, Mpolya, Emmanuel A, Vongpradith, Avina, Ma, Jianing, Verma, Megan, Frank, Tahvi D, He, Jiawei, Byrne, Sam, Lin, Christine, Dominguez, Regina-Mae Villanueva, Pease, Spencer A, Comfort, Haley, May, Erin A, Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat, Abdelkader, Atef, Abdi, Parsa, Abdoun, Meriem, Abdul Aziz, Jeza Muhamad, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan ... Kyu, Hmwe (2024). Global, regional, and national burden of HIV/AIDS, 1990–2021, and forecasts to 2050, for 204 countries and territories: the Global Burden of Disease Study 2021. The Lancet HIV, 11 (12), e807-e822. doi: 10.1016/s2352-3018(24)00212-1 |
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2024 Journal Article A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma SubtypesNobel, S. M. Nuruzzaman, Swapno, S. M. Masfequier Rahman, Islam, Md Babul, Azad, AKM, Alyami, Salem A., Alamin, Md, Liò, Pietro and Moni, Mohammad Ali (2024). A Novel Mixed Convolution Transformer Model for the Fast and Accurate Diagnosis of Glioma Subtypes. Advanced Intelligent Systems. doi: 10.1002/aisy.202400566 |
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2024 Journal Article LandSin: A differential ML and google API-enabled web server for real-time land insights and beyondSabari, Alauddin, Hasan, Imran, Alyami, Salem A., Liò, Pietro, Ali, Md. Sadek, Moni, Mohammad Ali and Azad, AKM (2024). LandSin: A differential ML and google API-enabled web server for real-time land insights and beyond. Software Impacts, 22 100718, 100718. doi: 10.1016/j.simpa.2024.100718 |
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2024 Conference Publication EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound ImagesHasan, Md. Zahid, Hossain, Shahed, Jim, Risul Islam, Bulbul, Abdullah Al-Mamun, Rahman, Md. Tanvir and Moni, Mohammad Ali (2024). EAH-Net: A Novel Ensemble Attention-Based Hybrid Architecture for Breast Cancer Diagnosis Utilizing Ultrasound Images. 1st International Workshop on Multimedia Computing for Health and Medicine (MCHM), Melbourne Australia, Oct 28-Nov 01, 2024. New York, NY, USA: ACM. doi: 10.1145/3688868.3689198 |
