Md. Nahiduzzaman

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images

Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman et al. · Computers in Biology and Medicine · 2022 · 147 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +24

Complex features extraction with deep learning model for the detection of COVID19 from CT scan images using ensemble based machine learning approach

Md. Robiul Islam, Md. Nahiduzzaman · Expert Systems with Applications · 2022 · 123 citations · Full text

Ct Scan Images, Deep Learning Model, Image Analysis +14

Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier

Md. Nahiduzzaman, Md. Robiul Islam, Md. Omaer Faruq Goni et al. · Expert Systems with Applications · 2023 · 117 citations · Full text

Convolutional Neural Network, Engineering, Feature Detection +21

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 et al. · Sensors · 2022 · 110 citations · Full text

Engineering, Machine Learning, Ensemble Approach +22

Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm

Md. Nahiduzzaman, Md. Robiul Islam, S. M. Riazul Islam et al. · IEEE Access · 2021 · 71 citations · Full text