Masrur Sobhan

According to our database, Masrur Sobhan authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

SCOPE-PD: Explainable AI on Subjective and Clinical Objective Measurements of Parkinson's Disease for Precision Decision-Making.

Md Mezbahul Islam, John Michael Templeton, Masrur Sobhan, Christian Poellabauer, Ananda Mohan Mondal

CoRR, January, 2026

2024

Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI.

Farzana Tabassum, Sabrina Islam, Siana Rizwan, Masrur Sobhan, Tasnim Ahmed, Sabbir Ahmed, Tareque Mohmud Chowdhury

CoRR, 2024

Interpreting Lung Cancer Health Disparity between African American Males and European American Males.

Masrur Sobhan, Md Mezbahul Islam, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Quantifying Intratumor Heterogeneity by Key Genes Selected Using Concrete Autoencoder.

Raihanul Bari Tanvir, Ricardo Ruiz, Samuel Ebert, Masrur Sobhan, Abdullah Al Mamun, Ananda Mohan Mondal

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

Evaluating SHAP's Robustness in Precision Medicine: Effect of Filtering and Normalization.

Masrur Sobhan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Subject Skin Tone Classification with Implications in Wound Imaging using Deep Learning.

Masrur Sobhan, Daniela Leizaola, Anuradha Godavarty, Ananda Mohan Mondal

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

An Autoencoder Based Bioinformatics Framework for Predicting Prognosis of Breast Cancer Patients.

Raihanul Bari Tanvir, Masrur Sobhan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Explainable Machine Learning to Identify Patient-specific Biomarkers for Lung Cancer.

Masrur Sobhan, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2020

Deep Learning to Discover Genomic Signatures for Racial Disparity in Lung Cancer.

Masrur Sobhan, Abdullah Al Mamun, Raihanul Bari Tanvir, Mario Jacas Alfonso, Pablo Valle, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Deep Learning to Discover Cancer Glycome Genes Signifying the Origins of Cancer.

Abdullah Al Mamun, Masrur Sobhan, Raihanul Bari Tanvir, Charles J. Dimitroff, Ananda Mohan Mondal

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020