Rusab Sarmun

According to our database, Rusab Sarmun authored at least 14 papers between 2024 and 2026.

Collaborative distances:

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

2026

Self-DenseMobileNet: A robust framework for lung nodule classification using Self-ONN and stacking-based meta-classifier.

Md. Sohanur Rahman, Muhammad E. H. Chowdhury, Hasib Ryan Rahman, Mosabber Uddin Ahmed, Muhammad Ashad Kabir, Rusab Sarmun

Biomed. Signal Process. Control., 2026

2025

CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram.

Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Md Sakib Abrar Hossain, Sakib Mahmud, Abdulrahman Alqahtani, Sohaib Bassam Zoghoul, Amith Khandakar, Susu M. Zughaier, Somaya Al-Máadeed, Anwarul Hasan

CoRR, October, 2025

Automated Landfill Detection Using Deep Learning: A Comparative Study of Lightweight and Custom Architectures with the AerialWaste Dataset.

Nowshin Sharmily, Rusab Sarmun, Muhammad E. H. Chowdhury, Mir Hamidul Hussain, Saad Bin Abul Kashem, Molla E. Majid, Amith Khandakar

CoRR, August, 2025

Machine-agnostic automated lumbar MRI segmentation using a cascaded model based on generative neurons.

Promit Basak, Rusab Sarmun, Saidul Kabir, Israa Al-Hashimi, Enamul Hoque Bhuiyan, Anwarul Hasan, Muhammad Salman Khan, Muhammad E. H. Chowdhury

Expert Syst. Appl., 2025

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network.

Samin Yaser, Muhammad E. H. Chowdhury, Rusab Sarmun

Comput. Biol. Medicine, 2025

Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification.

Saidul Kabir, Rusab Sarmun, Elias Ramírez-Velázquez, Anil Takvani, Mansour Ali, Muhammad E. H. Chowdhury, Tariq O. Abbas

Comput. Biol. Medicine, 2025

Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI.

Ashiqur Rahman, Muhammad E. H. Chowdhury, Md Sharjis Ibne Wadud, Rusab Sarmun, Adam Mushtak, Sohaib Bassam Zoghoul, Israa Al-Hashimi

Biomed. Signal Process. Control., 2025

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques.

Abu Jaffor Morshedul Abedin, Rusab Sarmun, Adam Mushtak, Mohamed Sultan Bin Mohamed Ali, Anwarul Hasan, Ponnuthurai Nagaratnam Suganthan, Muhammad E. H. Chowdhury

Biomed. Signal Process. Control., 2025

2024

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization.

Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan

Cogn. Comput., May, 2024

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer.

Saidul Kabir, Semir Vranic, Rafif Mahmood Al Saady, Muhammad Salman Khan, Rusab Sarmun, Abdulrahman Alqahtani, Tariq O. Abbas, Muhammad E. H. Chowdhury

Expert Syst. Appl., March, 2024

Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection.

Fabiha Bushra, Muhammad E. H. Chowdhury, Rusab Sarmun, Saidul Kabir, Menatalla Said, Sohaib Bassam Zoghoul, Adam Mushtak, Israa Al-Hashimi, Abdulrahman Alqahtani, Anwarul Hasan

Expert Syst. Appl., 2024

Enhancing intima-media complex segmentation with a multi-stage feature fusion-based novel deep learning framework.

Rusab Sarmun, Saidul Kabir, Johayra Prithula, Abdulrahman Alqahtani, Sohaib Bassam Zoghoul, Israa Al-Hashimi, Adam Mushtak, Muhammad E. H. Chowdhury

Eng. Appl. Artif. Intell., 2024

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier.

Md. Sohanur Rahman, Muhammad E. H. Chowdhury, Hasib Ryan Rahman, Mosabber Uddin Ahmed, Muhammad Ashad Kabir, Sanjiban Sekhar Roy, Rusab Sarmun

CoRR, 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