Mohammad Tariqul Islam

According to our database, Mohammad Tariqul Islam authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Correction: MSLP: mRNA subcellular localization predictor based on machine learning techniques.

Saleh Musleh, Mohammad Tariqul Islam, Rizwan Qureshi, Nihad Alajez, Tanvir Alam

BMC Bioinform., December, 2023

MSLP: mRNA subcellular localization predictor based on machine learning techniques.

Saleh Musleh, Mohammad Tariqul Islam, Rizwan Qureshi, Nihad Alajez, Tanvir Alam

BMC Bioinform., December, 2023

Multi-disease Retinal Vessel Segmentation: A Deep Learning Approach.

Mohammad Tariqul Islam, Hesham Zaky, Tanvir Alam

Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023

DMEgrader: Android Mobile Application for Diabetic Macular Edema Grading Prediction.

Hamada R. H. Al-Absi, Gilbert Njihia Muchori, Saleh Musleh, Mohammad Tariqul Islam, Anant Pai, Tanvir Alam

Proceedings of the International Conference on Information Technology, 2023

Optical Disc Segmentation from Retinal Fundus Images Using Deep Learning.

Mohammad Tariqul Islam, Ferdaus Ahmed Kawsar, Mowafa S. Househ, Tanvir Alam

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images.

Mohammad Tariqul Islam, Ferdaus Ahmed Kawsar, Mowafa S. Househ, Tanvir Alam

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.

Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mahmoud Ahmed Refaee, Muhammad Enamul Hoque Chowdhury, Tanvir Alam

Sensors, 2022

Incorporating deep learning into capacitive images for smartphone user authentication.

Md. Shafaeat Hossain, Mohammad T. Islam, Zahid Akhtar

J. Inf. Secur. Appl., 2022

2021

LNCRI: Long Non-Coding RNA Identifier in Multiple Species.

Saleh Musleh, Mohammad Tariqul Islam, Tanvir Alam

IEEE Access, 2021

DiaNet: A Deep Learning Based Architecture to Diagnose Diabetes Using Retinal Images Only.

Mohammad Tariqul Islam, Hamada R. H. Al-Absi, Essam A. Ruagh, Tanvir Alam

IEEE Access, 2021

Risk Factors and Comorbidities Associated to Cardiovascular Disease in Qatar: A Machine Learning Based Case-Control Study.

Hamada R. H. Al-Absi, Mahmoud Ahmed Refaee, Atiq ur Rehman, Mohammad Tariqul Islam, Samir Brahim Belhaouari, Tanvir Alam

IEEE Access, 2021

The Linkage Between Bone Densitometry and Cardiovascular Disease.

Mahmoud Ahmed Refaee, Hamada R. H. Al-Absi, Mohammad Tariqul Islam, Mowafa S. Househ, Zubair Shah, M. Sohel Rahman, Tanvir Alam

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

ALLD: Acute Lymphoblastic Leukemia Detector.

Saleh Musleh, Mohammad Tariqul Islam, Mohammad Towfik Alam, Mowafa S. Househ, Zubair Shah, Tanvir Alam

Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2019

DeepDSSR: Deep Learning Structure for Human Donor Splice Sites Recognition.

Tanvir Alam, Mohammad Tariqul Islam, Mowafa S. Househ, Abdesselam Bouzerdoum, Ferdaus Ahmed Kawsar

Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

DeepCNPP: Deep Learning Architecture to Distinguish the Promoter of Human Long Non-Coding RNA Genes and Protein-Coding Genes.

Tanvir Alam, Mohammad Tariqul Islam, Mowafa S. Househ, Samir Brahim Belhaouari, Ferdaus Ahmed Kawsar

Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

DeePEL: Deep learning architecture to recognize p-lncRNA and e-lncRNA promoters.

Tanvir Alam, Mohammad Tariqul Islam, Sebastian Schmeier, Mowafa S. Househ, Dena Al-Thani

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019