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2023

Journal Article

Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Kim, Min Seo, Hwang, Jimin, Yon, Dong Keon, Lee, Seung Won, Jung, Se Yong, Park, Seoyeon, Johnson, Catherine Owens, Stark, Benjamin A., Razo, Christian, Abbasian, Mohammadreza, Abbastabar, Hedayat, Abhari, Amir Parsa, Aboyans, Victor, Adane, Denberu Eshetie Adane, Adebayo, Oladimeji M., Alahdab, Fares, Almustanyir, Sami, Aly, Hany, Ameyaw, Edward Kwabena, Anderson, Jason A., Andrei, Catalina Liliana, Aryan, Zahra, Aujayeb, Avinash, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bayileyegn, Nebiyou Simegnew, Bearne, Lindsay M., Behnoush, Amir Hossein ... Roth, Gregory A. (2023). Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Global Health, 11 (10), E1553-E1565. doi: 10.1016/S2214-109X(23)00355-8

Global burden of peripheral artery disease and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

2023

Conference Publication

AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis

Hasan, Nafiul, Rana, Md. Masud, Hasan, Md Mahmudul and Moni, Mohammad Ali (2023). AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis. 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 21 - 23 September 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icict4sd59951.2023.10303373

AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis

2023

Journal Article

Cancer classification utilizing voting classifier with ensemble feature selection method and transcriptomic data

Khatun, Rabea, Akter, Maksuda, Islam, Md. Manowarul, Uddin, Md. Ashraf, Talukder, Md. Alamin, Kamruzzaman, Joarder, Azad, AKM, Paul, Bikash Kumar, Almoyad, Muhammad Ali Abdulllah, Aryal, Sunil and Moni, Mohammad Ali (2023). Cancer classification utilizing voting classifier with ensemble feature selection method and transcriptomic data. Genes, 14 (9) 1802, 1-24. doi: 10.3390/genes14091802

Cancer classification utilizing voting classifier with ensemble feature selection method and transcriptomic data

2023

Journal Article

The global, regional, and national burden of adult lip, oral, and pharyngeal cancer in 204 countries and territories: A systematic analysis for the Global Burden of Disease Study 2019

Cunha, Amanda Ramos Da, Compton, Kelly, Xu, Rixing, Mishra, Rashmi, Drangsholt, Mark Thomas, Antunes, Jose Leopoldo Ferreira, Kerr, Alexander R., Acheson, Alistair R., Lu, Dan, Wallace, Lindsey E., Kocarnik, Jonathan M., Fu, Weijia, Dean, Frances E., Pennini, Alyssa, Henrikson, Hannah Jacqueline, Alam, Tahiya, Ababneh, Emad, Abd-Elsalam, Sherief, Abdoun, Meriem, Abidi, Hassan, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Adane, Tigist Demssew, Addo, Isaac Yeboah, Ahmad, Aqeel, Ahmad, Sajjad, Ahmed Rashid, Tarik, Akonde, Maxwell, Al Hamad, Hanadi ... GBD 2019 Lip, Oral, and Pharyngeal Cancer Collaborators (2023). The global, regional, and national burden of adult lip, oral, and pharyngeal cancer in 204 countries and territories: A systematic analysis for the Global Burden of Disease Study 2019. JAMA Oncology, 9 (10), 1401-1416. doi: 10.1001/jamaoncol.2023.2960

The global, regional, and national burden of adult lip, oral, and pharyngeal cancer in 204 countries and territories: A systematic analysis for the Global Burden of Disease Study 2019

2023

Journal Article

A robust and clinically applicable deep learning model for early detection of Alzheimer's

Rana, Md Masud, Islam, Md Manowarul, Talukder, Md. Alamin, Uddin, Md Ashraf, Aryal, Sunil, Alotaibi, Naif, Alyami, Salem A., Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). A robust and clinically applicable deep learning model for early detection of Alzheimer's. IET Image Processing, 17 (14), 3959-3975. doi: 10.1049/ipr2.12910

A robust and clinically applicable deep learning model for early detection of Alzheimer's

2023

Journal Article

StackFBAs: detection of fetal brain abnormalities using CNN with stacking strategy from MRI images

Chowdhury, Anjir Ahmed, Hasan Mahmud, S.M., Shahjalal Hoque, Khadija Kubra, Ahmed, Kawsar, Bui, Francis M., Lio, Pietro, Moni, Mohammad Ali and Al-Zahrani, Fahad Ahmed (2023). StackFBAs: detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. Journal of King Saud University - Computer and Information Sciences, 35 (8) 101647, 101647. doi: 10.1016/j.jksuci.2023.101647

StackFBAs: detection of fetal brain abnormalities using CNN with stacking strategy from MRI images

2023

Journal Article

SafetyMed: A novel IoMT intrusion detection system using CNN-LSTM hybridization

Faruqui, Nuruzzaman, Yousuf, Mohammad Abu, Whaiduzzaman, Md, Azad, AKM, Alyami, Salem A., Liò, Pietro, Kabir, Muhammad Ashad and Moni, Mohammad Ali (2023). SafetyMed: A novel IoMT intrusion detection system using CNN-LSTM hybridization. Electronics, 12 (17) 3541, 3541. doi: 10.3390/electronics12173541

SafetyMed: A novel IoMT intrusion detection system using CNN-LSTM hybridization

2023

Journal Article

Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome

Nashiry, Md Asif, Sumi, Shauli Sarmin, Alyami, Salem A. and Moni, Mohammad Ali (2023). Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome. Frontiers in Molecular Neuroscience, 16 1232805, 1232805. doi: 10.3389/fnmol.2023.1232805

Systems biology approach discovers comorbidity interaction of Parkinson's disease with psychiatric disorders utilizing brain transcriptome

2023

Journal Article

Global, regional, and national burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Wunrow, Han Yong, Bender, Rose G, Vongpradith, Avina, Sirota, Sarah Brooke, Swetschinski, Lucien R, Novotney, Amanda, Gray, Authia P, Ikuta, Kevin S, Sharara, Fablina, Wool, Eve E, Aali, Amirali, Abd-Elsalam, Sherief, Abdollahi, Ashkan, Abdul Aziz, Jeza Muhamad, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Abu-Gharbieh, Eman, Adamu, Lawan Hassan, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adekiya, Tayo Alex, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Aghamiri, Shahin, Aghdam, Zahra Babaei, Agodi, Antonella ... Kyu, Hmwe Hmwe (2023). Global, regional, and national burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 22 (8), 685-711. doi: 10.1016/S1474-4422(23)00195-3

Global, regional, and national burden of meningitis and its aetiologies, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2023

Conference Publication

What baseline and intervention characteristics predict walking speed six months after stroke?

Nayak, Neelam, Brauer, Sandra, Kuys, Suzanne, Moni, Mohammad Ali and Mahendran, Niruthikha (2023). What baseline and intervention characteristics predict walking speed six months after stroke?. Stroke 2023 – The Combined Stroke Society of Australasia and Smart Strokes Nursing and Allied Health Scientific Meeting, Melbourne, VIC, Australia, 22-25 August 2023. London, United Kingdom: Sage Publications.

What baseline and intervention characteristics predict walking speed six months after stroke?

2023

Journal Article

Integrated bioinformatics and statistical approach to identify the cmmon mlecular mchanisms of oesity that are linked to the development of two psychiatric disorders: Schizophrenia and major depressive disorder

Islam, Md Khairul, Islam, Md Rakibul, Rahman, Md Habibur, Islam, Md Zahidul, Hasan, Md Mehedi, Mamun, Md Mainul Islam and Moni, Mohammad Ali (2023). Integrated bioinformatics and statistical approach to identify the cmmon mlecular mchanisms of oesity that are linked to the development of two psychiatric disorders: Schizophrenia and major depressive disorder. PLOS ONE, 18 (7) e0276820, e0276820. doi: 10.1371/journal.pone.0276820

Integrated bioinformatics and statistical approach to identify the cmmon mlecular mchanisms of oesity that are linked to the development of two psychiatric disorders: Schizophrenia and major depressive disorder

2023

Journal Article

A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from Bangladesh

Uddin, Md. Jamal, Ahamad, Md. Martuza, Hoque, Md. Nesarul, Walid, Md. Abul Ala, Aktar, Sakifa, Alotaibi, Naif, Alyami, Salem A., Kabir, Muhammad Ashad and Moni, Mohammad Ali (2023). A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from Bangladesh. Information, 14 (7) 376, 376. doi: 10.3390/info14070376

A comparison of machine learning techniques for the detection of type-2 diabetes mellitus: experiences from Bangladesh

2023

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 (2023). 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, 22 (4), 375-391. doi: 10.1093/bfgp/elad005

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

2023

Journal Article

Ensemble learning for disease prediction: a review

Mahajan, Palak, Uddin, Shahadat, Hajati, Farshid and Moni, Mohammad Ali (2023). Ensemble learning for disease prediction: a review. Healthcare, 11 (12) 1808, 1808. doi: 10.3390/healthcare11121808

Ensemble learning for disease prediction: a review

2023

Journal Article

A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron

Aziz, Md. Tarek, Mahmud, S. M. Hasan, Elahe, Md. Fazla, Jahan, Hosney, Rahman, Md Habibur, Nandi, Dip, Smirani, Lassaad K., Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2023). A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron. Diagnostics, 13 (12) 2106, 2106. doi: 10.3390/diagnostics13122106

A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron

2023

Conference Publication

Machine learning-based biomedical antenna for brain tumor detection

Hasan, Nafiul, Aktar, Mousumi, Rana, Md. Masud and Moni, Mohammad Ali (2023). Machine learning-based biomedical antenna for brain tumor detection. International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 16-17 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ncim59001.2023.10212805

Machine learning-based biomedical antenna for brain tumor detection

2023

Book Chapter

A dynamic topic identification and labeling approach for COVID-19 tweets

Shahriar, Khandaker Tayef, Islam, Muhammad Nazrul, Moni, Mohammad Ali and Sarker, Iqbal H. (2023). A dynamic topic identification and labeling approach for COVID-19 tweets. Applied intelligence for industry 4.0. (pp. 227-239) edited by Nazmul Siddique, Mohammad Shamsul Arefin, M. Shamim Kaiser and A.S.M. Kayes. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781003256083-18

A dynamic topic identification and labeling approach for COVID-19 tweets

2023

Journal Article

Global, regional, and national burden of low back pain, 1990-2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Ferreira, Manuela L., de Luca, Katie, Haile, Lydia M., Steinmetz, Jaimie, Culbreth, Garland, Cross, Marita, Kopec, Jacek A., Ferreira, Paulo H., Blyth, Fiona M., Buchbinder, Rachelle, Hartvigsen, Jan, Wu, Ai-Min, Safiri, Saeid, Woolf, Anthony, Collins, Gary S., Ong, Kanyin Liane, Vollset, Stein Emil, Smith, Amanda E., Cruz, Jessica A., Fukutaki, Kai Glenn, Abate, Semagn Mekonnen, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelalim, Ahmed, Abedi, Aidin, Abidi, Hassan, Adnani, Qorinah Estiningtyas Sakilah, Ahmadi, Ali ... March, Lyn M. (2023). Global, regional, and national burden of low back pain, 1990-2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatology, 5 (6), E316-E329. doi: 10.1016/S2665-9913(23)00098-X

Global, regional, and national burden of low back pain, 1990-2020, its attributable risk factors, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

2023

Journal Article

The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells

Hossain, Md. Ali, Asa, Tania Akter, Auwul, Md. Rabiul, Aktaruzzaman, Md., Rahman, Md. Mahfizur and Moni, Mohammad Ali (2023). The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells. Computers in Biology and Medicine, 159 106885, 1-8. doi: 10.1016/j.compbiomed.2023.106885

The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells

2023

Journal Article

Machine learning-based model to predict heart disease in early stage employing different feature selection techniques

Biswas, Niloy, Ali, Md Mamun, Rahaman, Md Abdur, Islam, Minhajul, Mia, Md. Rajib, Azam, Sami, Ahmed, Kawsar, Bui, Francis M., Al-Zahrani, Fahad Ahmed and Moni, Mohammad Ali (2023). Machine learning-based model to predict heart disease in early stage employing different feature selection techniques. BioMed Research International, 2023 (1) 6864343, 1-15. doi: 10.1155/2023/6864343

Machine learning-based model to predict heart disease in early stage employing different feature selection techniques