Julian M. W. Quinn

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 28

Top Topics

Cervical Cancer

Machine Learning

Gene Expression Profiling

Top Venues

Comput. Biol. Medicine

Briefings Bioinform.

Publications

Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Lio', Julian M. W. Quinn, Mohammad Ali Moni
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. Neural Networks 162 (2023)
Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR (2023)
Koushik Chandra Howlader, Md. Shahriare Satu, Md. Abdul Awal, Md. Rabiul Islam, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Mohammad Ali Moni
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Inf. Sci. Syst. 10 (1) (2022)
Md. Mustafizur Rahman, Ajay Krishno Sarkar, Md. Amzad Hossain, Md. Selim Hossain, Md. Rabiul Islam, Md. Biplob Hossain, Julian M. W. Quinn, Mohammad Ali Moni
Recognition of human emotions using EEG signals: A review. Comput. Biol. Medicine 136 (2021)
Md Mamun Ali, Bikash Kumar Paul, Kawsar Ahmed, Francis M. Bui, Julian M. W. Quinn, Mohammad Ali Moni
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Comput. Biol. Medicine 136 (2021)
Mohammad Ali Moni, Julian M. W. Quinn, Nese Sinmaz, Matthew A. Summers
Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Briefings Bioinform. 22 (2) (2021)
Zulkar Nain, Shital K. Barman, Md Moinuddin Sheam, Shifath Bin Syed, Abdus Samad, Julian M. W. Quinn, Mohammad Minnatul Karim, Mahbubul Kabir Himel, Rajib Kanti Roy, Mohammad Ali Moni, Sudhangshu Kumar Biswas
Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. Briefings Bioinform. 22 (6) (2021)
Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter, Bikash Kumar Paul, Mohammad Abu Yousuf, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images. Comput. Biol. Medicine 139 (2021)
Asif Nashiry, Shauli Sarmin Sumi, Salequl Islam, Julian M. W. Quinn, Mohammad Ali Moni
Bioinformatics and system biology approach to identify the influences of COVID-19 on cardiovascular and hypertensive comorbidities. Briefings Bioinform. 22 (2) (2021)
Md. Jakir Hossain, Utpala Nanda Chowdhury, M. Babul Islam, Shahadat Uddin, Mohammad Boshir Ahmed, Julian M. W. Quinn, Mohammad Ali Moni
Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Comput. Biol. Medicine 135 (2021)
Md Mamun Ali, Kawsar Ahmed, Francis M. Bui, Bikash Kumar Paul, Sobhy M. Ibrahim, Julian M. W. Quinn, Mohammad Ali Moni
Machine learning-based statistical analysis for early stage detection of cervical cancer. Comput. Biol. Medicine 139 (2021)
Md. Shahriare Satu, Md. Imran Khan, Mufti Mahmud, Shahadat Uddin, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowl. Based Syst. 226 (2021)
Md Habibur Rahman, Humayan Kabir Rana, Silong Peng, Xiyuan Hu, Chen Chen, Julian M. W. Quinn, Mohammad Ali Moni
Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. Briefings Bioinform. 22 (5) (2021)
Md. Shahriare Satu, Md. Imran Khan, Md. Rezanur Rahman, Koushik Chandra Howlader, Shatabdi Roy, Shuvo Saha Roy, Julian M. W. Quinn, Mohammad Ali Moni
Diseasome and comorbidities complexities of SARS-CoV-2 infection with common malignant diseases. Briefings Bioinform. 22 (2) (2021)
Onika Akter, Mohammad Ali Moni, Mohammad Mahfuzul Islam, Julian M. W. Quinn, A. H. M. Kamal
Lung cancer detection using enhanced segmentation accuracy. Appl. Intell. 51 (6) (2021)
Mohammad Ali Moni, M. Babul Islam, Md. Rezanur Rahman, Md Rashed-Al-Mahfuz, Md. Abdul Awal, Sheikh Mohammed Shariful Islam, Md. Nurul Haque Mollah, Julian M. W. Quinn
Network-Based Computational Approach to Identify Delineating Common Cell Pathways Influencing Type 2 Diabetes and Diseases of Bone and Joints. IEEE Access 8 (2020)
Sakifa Aktar, Md. Martuza Ahamad, Md Rashed-Al-Mahfuz, A. K. M. Azad, Shahadat Uddin, A. H. M. Kamal, Salem A. Alyami, Ping-I Lin, Sheikh Mohammed Shariful Islam, Julian M. W. Quinn, Valsamma Eapen, Mohammad Ali Moni
Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. CoRR (2020)
Md. Martuza Ahamad, Sakifa Aktar, Md Rashed-Al-Mahfuz, Shahadat Uddin, Pietro Liò, Haoming Xu, Matthew A. Summers, Julian M. W. Quinn, Mohammad Ali Moni
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Syst. Appl. 160 (2020)
Sakifa Aktar, Ashis Talukder, Md. Martuza Ahamad, A. H. M. Kamal, Jahidur Rahman Khan, Md. Protikuzzaman, Nasif Hossain, Julian M. W. Quinn, Matthew A. Summers, Teng Liaw, Valsamma Eapen, Mohammad Ali Moni
Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. CoRR (2020)
Humayan Kabir Rana, Mst. Rashida Akhtar, M. Babul Islam, Mohammad Boshir Ahmed, Pietro Liò, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni
Genetic effects of welding fumes on the development of respiratory system diseases. Comput. Biol. Medicine 108 (2019)
Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7 (2019)
Md Habibur Rahman, Silong Peng, Xiyuan Hu, Chen Chen, Shahadat Uddin, Julian M. W. Quinn, Mohammad Ali Moni
Bioinformatics Methodologies to Identify Interactions Between Type 2 Diabetes and Neurological Comorbidities. IEEE Access 7 (2019)
Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M. W. Quinn, Mohammad Ali Moni
A fast iris recognition system through optimum feature extraction. PeerJ Comput. Sci. 5 (2019)
Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M. W. Quinn, Mohammad Ali Moni
A fast iris recognition system through optimum feature extraction. PeerJ Prepr. 7 (2019)
Md. Ali Hossain, Sheikh Muhammad Saiful Islam, Julian M. W. Quinn, Fazlul Huq, Mohammad Ali Moni
Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality. J. Biomed. Informatics 100 (2019)
Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Haoming Xu, Md. Al Mehedi Hasan, Yiming Lei, Julian M. W. Quinn
A computational approach to identify blood cell-expressed Parkinson's disease biomarkers that are coordinately expressed in brain tissue. Comput. Biol. Medicine 113 (2019)
Md. Ali Hossain, Tania Akter Asa, Fazlul Huq, Julian M. W. Quinn, Mohammad Ali Moni
A Network-Based Approach to Identify Molecular Signatures and Comorbidities of Thyroid Cancer. IJCCI (2018)
Humayan Kabir Rana, Md. Shafiul Azam, Mst. Rashida Akhtar, Julian M. W. Quinn, Mohammad Ali Moni
A fast Iris recognition system through optimum feature extraction. PeerJ Prepr. 6 (2018)