Book Chapters (1)
- 1. Md Faysal Ahamed, Md Robiul Islam, Tahmim Hossain, Khalid Syfullah, Ovi Sarkar; "Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework", Springer Nature, 2023
Journal Articles (13)
- 1. Md Omaer Faruq Goni, Md Nazrul Islam Mondal, SM Riazul Islam, Md Nahiduzzaman, Md Robiul Islam, Md Shamim Anower, Kyung-Sup Kwak; "Diagnosis of Malaria using Double Hidden Layer Extreme Learning Machine Algorithm with CNN Feature Extraction and Parasite Inflator", IEEE Access, 2023
- 2. Md Omaer Faruq Goni, Md Nahiduzzaman, Md Shamim Anower, Md Mahabubur Rahman, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Mohammad Shahjalal; "Fast and Accurate Fault Detection and Classification in Transmission Lines using Extreme Learning Machine", e-Prime-Advances in Electrical Engineering, Electronics and Energy, 2023
- 3. Md Nahiduzzaman, Md Omaer Faruq Goni, Md Robiul Islam, Abu Sayeed, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski; "Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture", Biocybernetics and Biomedical Engineering, 2023
- 4. Md Nahiduzzaman, Md Omaer Faruq Goni, Rakibul Hassan, Md Robiul Islam, Md Khalid Syfullah, Saleh Mohammed Shahriar, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski; "Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19", Expert Systems with Applications, 2023
- 5. Ovi Sarkar, Md Robiul Islam, Md Khalid Syfullah, Md Tohidul Islam, Md Faysal Ahamed, Mominul Ahsan, Julfikar Haider; "Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification", Technologies, 2023
- 6. Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider; "A review on brain tumor segmentation based on deep learning methods with federated learning techniques", Computerized Medical Imaging and Graphics, 2023
- 7. Md Nahiduzzaman, Md Robiul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski; "Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier", Expert Systems with Applications, 2023
- 8. Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, Abu Sayeed, Md. Shamim Anower, Mominul Ahsan and Julfikar Haider; "Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images", MDPI (Sensors), 2022
- 9. Md Robiul Islam; Md Nahiduzzaman; "Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach", ELSEVIER (Expert Systems with Applications), 2022
- 10. Md Robiul Islam, Lway Faisal Abdulrazak, Md Nahiduzzamana, Md Omaer Faruq Goni, Md Shamim Anower, Mominul Ahsan, Julfikar Haider, Marcin Kowalski; "Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images", ELSEVIER (Computers in Biology and Medicine), 2022
- 11. Md Nahiduzzaman, Md Omaer Faruq Goni, Md Shamim Anower, Md Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md Rakibul Islam; "A Novel Method for Multivariant Pneumonia Classification based on Hybrid CNN-PCA Based Feature Extraction using Extreme Learning Machine with Chest X-Ray Images", IEEE (IEEE Access), 2021
- 12. Md Nahiduzzaman, Md Robiul Islam, SM Riazul Islam, Md Omaer Faruq Goni, Md Shamim Anower, Kyung-Sup Kwak; "Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy using Extreme Learning Machine Algorithm", IEEE (IEEE Access), 2021
- 13. Md Robiul Islam, Md Nahid Hasan, Md Nahiduzzaman; "Severity Grading of Diabetic Retinopathy using Deep Convolutional Neural Network", IJISRT, 2021
Conference Papers (5)
- 1. Ovi Sarkar, Md Robiul Islam, Tahmim Hossain, Md Khalid Syfullah, Md Tohidul Islam, Md Moniruzzaman; "An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray Employing Convolutional Neural Architecture", IEEE, 2022
- 2. Ovi Sarkar, Md Faysal Ahamed, Tahsin Tasnia Khan, Moloy Kumar Ghosh, Md Robiul Islam; "An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM", IEEE (INCET), 2021
- 3. Pallab Chowdhury, Md Robiul Islam, Md Abdul Based, Pulok Chowdhury; "Transfer Learning Approach for Diabetic Retinopathy Detection using Efficient Network with 2 Phase Training", IEEE (6th International Conference for Convergence in Technology (I2CT)), 2021
- 4. Md Robiul Islam, Md Al Mehedi Hasan, Abu Sayeed; "Transfer Learning based Diabetic Retinopathy Detection with a Novel Preprocessed Layer", IEEE (2020 IEEE Region 10 Symposium (TENSYMP)), 2020
- 5. Joy Paul, Zerin Jahan, Kazi Fahim Lateef, Md Robiul Islam, Sagor Chandro Bakchy; "Prediction of Road Accident and Severity of Bangladesh Applying Machine Learning Techniques", IEEE (2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)), 2020