A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images. - Md. Nahiduzzaman; Md. Omaer Faruq Goni; Md. Shamim Anower; Md. Robiul Islam 002; Mominul Ahsan; Julfikar Haider; Saravanakumar Gurusamy; Rakibul Hassan; Md. Rakibul Islam (IEEE Access, 2021)

Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm. - Md. Nahiduzzaman; Md. Robiul Islam 002; S. M. Riazul Islam; Md. Omaer Faruq Goni; Md. Shamim Anower; Kyung-Sup Kwak (IEEE Access, 2021)

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images. - Md. Robiul Islam 002; Lway Faisal Abdulrazak; Md. Nahiduzzaman; Md. Omaer Faruq Goni; Md. Shamim Anower; Mominul Ahsan; Julfikar Haider; Marcin Kowalski (Comput. Biol. Medicine, 2022)

Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images. - Md. Robiul Islam 002; Md. Nahiduzzaman; Md. Omaer Faruq Goni; Abu Sayeed; Md. Shamim Anower; Mominul Ahsan; Julfikar Haider (Sensors, 2022)

An Ensemble Approach for the Prediction of Diabetes Mellitus Using a Soft Voting Classifier with an Explainable AI. - Hafsa Binte Kibria; Md. Nahiduzzaman; Md. Omaer Faruq Goni; Mominul Ahsan; Julfikar Haider (Sensors, 2022)

Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator. - Md. Omaer Faruq Goni; Md. Nazrul Islam Mondal; S. M. Riazul Islam; Md. Nahiduzzaman; Md. Robiul Islam 002; Md. Shamim Anower; Kyung-Sup Kwak (IEEE Access, 2023)

Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier. - Md. Nahiduzzaman; Md. Robiul Islam 002; Md. Omaer Faruq Goni; Md. Shamim Anower; Mominul Ahsan; Julfikar Haider; Marcin Kowalski (Expert Syst. Appl., 2023)

Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19. - Md. Nahiduzzaman; Md. Omaer Faruq Goni; Rakibul Hassan; Md. Robiul Islam 002; Md. Khalid Syfullah; Saleh Mohammed Shahriar; Md. Shamim Anower; Mominul Ahsan; Julfikar Haider; Marcin Kowalski (Expert Syst. Appl., 2023)