Md. Shaheenur Islam Sumon

According to our database, Md. Shaheenur Islam Sumon authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

CardioTabNet: a novel hybrid transformer model for heart disease prediction using tabular medical data.

Md. Shaheenur Islam Sumon, Md. Sakib Bin Islam, Md. Sohanur Rahman, Md Sakib Abrar Hossain, Amith Khandakar, Anwarul Hasan, M. Murugappan, Muhammad E. H. Chowdhury

Health Inf. Sci. Syst., December, 2025

Self-CephaloNet: a two-stage novel framework using operational neural network for cephalometric analysis.

Md. Shaheenur Islam Sumon, Khandaker Reajul Islam, Md Sakib Abrar Hossain, Tanzila Rafique, Ranjit Ghosh, Gazi Shamim Hassan, Kanchon Kanti Podder, Noha Barhom, Faleh Tamimi, Muhammad E. H. Chowdhury

Neural Comput. Appl., June, 2025

Self-CephaloNet: A Two-stage Novel Framework using Operational Neural Network for Cephalometric Analysis.

Md. Shaheenur Islam Sumon, Khandaker Reajul Islam, Tanzila Rafique, Gazi Shamim Hassan, Md Sakib Abrar Hossain, Kanchon Kanti Podder, Noha Barhom, Faleh Tamimi, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury

CoRR, January, 2025

Classification of glioma grade and Ki-67 level prediction in MRI data: A SHAP-driven interpretation.

Enamul Hoque Bhuiyan, Muntakim Mahmud Khan, Hossain Shahriar, R. Rahman, Q. Luo, M. F. Hossain, K. Wang, Md. Shaheenur Islam Sumon, S. Khalid, M. Karaman, J. Zhang, Muhammad E. H. Chowdhury, W. Zhu, X. J. Zhou

Comput. Medical Imaging Graph., 2025

Multiclass ensemble framework for enhanced prostate gland Segmentation: Integrating Self-ONN decoders with EfficientNet.

Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury, Enamul Hoque Bhuiyan, Md. Sohanur Rahman, Muntakim Mahmud Khan, Israa Al-Hashimi, Adam Mushtak, Sohaib Bassam Zoghoul

Comput. Biol. Medicine, 2025

2024

Classification and segmentation of kidney MRI images for chronic kidney disease detection.

Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Rusab Sarmun, Enamul Hoque Bhuiyan, Muhammad E. H. Chowdhury

Comput. Electr. Eng., 2024

Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images.

Menatalla Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

Appl. Comput. Intell. Soft Comput., 2024

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation.

Zakaria Shams Siam, Rubyat Tasnuva Hasan, Moajjem Hossain Chowdhury, Md. Shaheenur Islam Sumon, Mamun Bin Ibne Reaz, Sawal Hamid Bin Mohd Ali, Adam Mushtak, Israa Al-Hashimi, Sohaib Bassam Zoghoul, Muhammad E. H. Chowdhury

IEEE Access, 2024

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults.

Proma Dutta, Kanchon Kanti Podder, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury, Amith Khandakar, Nasser Al-Emadi, Moajjem Hossain Chowdhury, M. Murugappan, Mohamed Arselene Ayari, Sakib Mahmud, S. M. Muyeen

IEEE Access, 2024

2023

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images.

Md Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md. Shaheenur Islam Sumon, Enamul Hoque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani

Sensors, November, 2023

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.

Kanchon Kanti Podder, Maymouna Ezeddin, Muhammad E. H. Chowdhury, Md. Shaheenur Islam Sumon, Anas M. Tahir, Mohamed Arselene Ayari, Proma Dutta, Amith Khandakar, Zaid Bin Mahbub, Muhammad Abdul Kadir

Sensors, August, 2023

Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study.

Tawsifur Rahman, Mahmoud Khatib A. A. Al-Ruweidi, Md. Shaheenur Islam Sumon, Reema Youssef Kamal, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin

IEEE Access, 2023