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2024

Journal Article

Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review

Nurjahan,, Mahbub-Or-Rashid, Md., Satu, Md. Shahriare, Tammim, Sanjana Ruhani, Sunny, Farhana Akter and Moni, Mohammad Ali (2024). Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review. Iran Journal of Computer Science, 7 (3), 699-721. doi: 10.1007/s42044-024-00190-z

Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review

2024

Journal Article

Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs)

Alamin, Md, Humaira Sultana, Most, Babarinde, Isaac Adeyemi, Azad, A K M, Moni, Mohammad Ali and Xu, Haiming (2024). Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs). Briefings in Bioinformatics, 25 (3) bbae230, 1-16. doi: 10.1093/bib/bbae230

Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs)

2024

Journal Article

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Steinmetz, Jaimie D, Seeher, Katrin Maria, Schiess, Nicoline, Nichols, Emma, Cao, Bochen, Servili, Chiara, Cavallera, Vanessa, Cousin, Ewerton, Hagins, Hailey, Moberg, Madeline E, Mehlman, Max L, Abate, Yohannes Habtegiorgis, Abbas, Jaffar, Abbasi, Madineh Akram, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abdelmasseh, Michael, Abdollahi, Mohammad, Abdollahi, Mozhan, Abdollahifar, Mohammad-Amin, Abd-Rabu, Rami, Abdulah, Deldar Morad, Abdullahi, Auwal, Abedi, Aidin, Abedi, Vida, Abeldaño Zuñiga, Roberto Ariel, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan ... Dua, Tarun (2024). Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Neurology, 23 (4), 344-381. doi: 10.1016/s1474-4422(24)00038-3

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

GBD 2021 Fertility and Forecasting Collaborators, Anderlini, D., Begum, T., Chung, E., Huda, M., Kanmiki, E., Maravilla, J. C., Khan, A., Moni, M., Lalloo, R., McGrath, J. J. and Mamun, Abdullah (2024). Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403 (10440), 2057-2099. doi: 10.1016/S0140-6736(24)00550-6

Global fertility in 204 countries and territories, 1950-2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

Akter, Atika, Nosheen, Nazeela, Ahmed, Sabbir, Hossain, Mariom, Yousuf, Mohammad Abu, Almoyad, Mohammad Ali Abdullah, Hasan, Khondokar Fida and Moni, Mohammad Ali (2024). Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor. Expert Systems with Applications, 238 122347, 1-22. doi: 10.1016/j.eswa.2023.122347

Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

2024

Journal Article

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

GBD 2021 Demographics Collaborators, Begum, Tahmina, Kanmiki, E., Maravilla, J. C., Khan, A., Moni, M., Lalloo, R., McGrath, J. J., Veerman, L. J. and Mamun, A. A. (2024). Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. The Lancet, 403 (10440), 1989-2056. doi: 10.1016/S0140-6736(24)00476-8

Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950-2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021

2024

Journal Article

Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria V., Arrigo, Alessandro, Leveziel, Nicolas, Briant, Paul Svitil, Vos, Theo, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Steinmetz, Jaimie, Bourne, Rupert, Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Bikbov, Mukkharram M., Braithwaite, Tasanee ... Bourne, Rupert (2024). Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020. Eye, 38 (11), 2156-2172. doi: 10.1038/s41433-024-02961-1

Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

2024

Journal Article

"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"

Islam, Md. Shofiqul, Kabir, Muhammad Nomani, Ghani, Ngahzaifa Ab, Zamli, Kamal Zuhairi, Zulkifli, Nor Saradatul Akmar, Rahman, Md. Mustafizur and Moni, Mohammad Ali (2024). "Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach". Artificial Intelligence Review, 57 (3) 62. doi: 10.1007/s10462-023-10651-9

"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"

2024

Journal Article

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Hasan, Khondokar Fida, Sharmin, Selina, Alyami, Salem A. and Moni, Mohammad Ali (2024). Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction. Journal of Big Data, 11 (1) 33. doi: 10.1186/s40537-024-00886-w

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

2024

Journal Article

ASDNet: a robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology

Mumenin, Nasirul, Yousuf, Mohammad Abu, Nashiry, Md Asif, Azad, A. K. M., Alyami, Salem A., Lio', Pietro and Moni, Mohammad Ali (2024). ASDNet: a robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology. IET Computer Vision, 18 (5), 666-681. doi: 10.1049/cvi2.12271

ASDNet: a robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology

2024

Journal Article

Clinically adaptable machine learning model to identify early appreciable features of diabetes In Bangladesh

Nipa, Nurjahan, Riyad, Md. Mahmudul Hasan, Satu, Md. Shahriare, Walliullah, Md., Howlader, Koushik Chandra and Moni, Mohammad Ali (2024). Clinically adaptable machine learning model to identify early appreciable features of diabetes In Bangladesh. Intelligent Medicine, 4 (1), 22-32. doi: 10.1016/j.imed.2023.01.003

Clinically adaptable machine learning model to identify early appreciable features of diabetes In Bangladesh

2024

Journal Article

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

Uddin, Shahadat, Khan, Arif, Lu, Haohui, Zhou, Fangyu, Karim, Shakir, Hajati, Farshid and Moni, Mohammad Ali (2024). Road networks and socio-demographic factors to explore COVID-19 infection during its different waves. Scientific Reports, 14 (1) 1551, 1-10. doi: 10.1038/s41598-024-51610-w

Road networks and socio-demographic factors to explore COVID-19 infection during its different waves

2024

Journal Article

Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)

Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Bikbov, Mukkharram M., Braithwaite, Tasanee, Bron, Alain, Cheng, Ching-Yu, Del Monte, Monte A., Ehrlich, Joshua R., Ellwein, Leon B., Friedman, David, Furtado, João M., Gazzard, Gus, George, Ronnie, Hartnett, M. Elizabeth, Jonas, Jost B., Kahloun, Rim, Khairallah, Moncef, Khanna, Rohit C., Leasher, Janet ... Steinmetz, Jaimie D. (2024). Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1). Eye (Basingstoke), 38 (11), 2229-2231. doi: 10.1038/s41433-024-03161-7

Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)

2024

Journal Article

Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Leary, Peter J., Lindstrom, Megan, Johnson, Catherine O., Emmons-Bell, Sophia, Rich, Stuart, Corris, Paul A., DuBrock, Hilary M., Ventetuolo, Corey E., Abate, Yohannes Habtegiorgis, Abdelmasseh, Michael, Aboagye, Richard Gyan, Abualruz, Hasan, Abu-Gharbieh, Eman, Aburuz, Salahdein, Adamu, Lawan Hassan, Adão, Rui, Addo, Isaac Yeboah, Adedoyin, Rufus Adesoji, Adetunji, Juliana Bunmi, Adzigbli, Leticia Akua, Ahinkorah, Bright Opoku, Ahmad, Firdos, Ahmadzade, Amir Mahmoud, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Syed Anees, Akhlaghi, Shiva, Akkaif, Mohammed Ahmed, Al Awaidy, Salah ... GBD 2021 Pulmonary Arterial Hypertension Collaborators (2024). Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet Respiratory Medicine, 13 (1), 69-79. doi: 10.1016/S2213-2600(24)00295-9

Global, regional, and national burden of pulmonary arterial hypertension, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

2024

Conference Publication

Bengali cyberbullying: detection, categorization, and gender bias analysis

Hossain, Md. Mithun, Hossain, Md. Shakil, Chaki, Sudipto, Rahman, Md. Saifur and Moni, Mohammad Ali (2024). Bengali cyberbullying: detection, categorization, and gender bias analysis. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00027

Bengali cyberbullying: detection, categorization, and gender bias analysis

2024

Conference Publication

UMML: layout-aware text-image fusion for unified multilingual multimodal learning

Veeramani, Hariram, Thapa, Surendrabikram, Salman, Mohammad, Moni, Mohammad Ali and Naseem, Usman (2024). UMML: layout-aware text-image fusion for unified multilingual multimodal learning. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00029

UMML: layout-aware text-image fusion for unified multilingual multimodal learning

2024

Journal Article

Review of physical layer security in molecular internet of nano-things

Qiu, Song, Wei, Zhuangkun, Huang, Yu, Abbaszadeh, Mahmoud, Charmet, Jerome, Li, Bin and Guo, Weisi (2024). Review of physical layer security in molecular internet of nano-things. IEEE Transactions on NanoBioscience, 23 (1), 91-100. doi: 10.1109/tnb.2023.3285973

Review of physical layer security in molecular internet of nano-things

2024

Journal Article

A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets

Mahajan, Palak, Uddin, Shahadat, Hajati, Farshid, Moni, Mohammad Ali and Gide, Ergun (2024). A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets. Health and Technology, 14 (3), 597-613. doi: 10.1007/s12553-024-00835-w

A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets

2024

Journal Article

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Kazi, Mohsin, Khalid, Majdi, Akhter, Arnisha and Moni, Mohammad Ali (2024). Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications. Digital Health, 10, 20552076241271867. doi: 10.1177/20552076241271867

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

2024

Conference Publication

GDRNet: a novel graph neural network architecture for diabetic retinopathy detection

Hossain, Shahed, Hasan, Md. Zahid, Jim, Risul Islam, Shuva, Taslima Ferdaus, Rahman, Md. Tanvir, Bulbul, Abdullah Al-Mamun, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2024). GDRNet: a novel graph neural network architecture for diabetic retinopathy detection. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00055

GDRNet: a novel graph neural network architecture for diabetic retinopathy detection