Conference Papers (16)
- 1. Anirban Barai , Md. Farukuzzaman Faruk , Shakil Mahmud Shuvo , Azmain Yakin Srizon, SM Mahedy Hasan, Abu Sayeed; "A Late Fusion Deep CNN Model for the Classification of Brain Tumors from Multi-Parametric MRI Images", IEEE(NCIM-2023), 2023
- 2. Tahsen Islam Sajon, Barsha Roy, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Shakil Mahmud Shuvo, Md. Al Mamun, Abu Sayeed, S. M. Mahedy Hasan; "Attention Mechanism-enhanced Deep CNN Architecture for Precise Multi-Class Leukemia Classification", Springer, 2023
- 3. Shakil Mahmud Shuvo, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Tahsen Islam Sajon, S. M. Mahedy Hasan, Anirban Barai, A. F. M. Minhazur Rahman, Md. Al Mamun; "Multi-Class Brain Tumor Classification with DenseNet Based Deep Learning Features and Ensemble of Machine Learning Approaches", Springer, 2023
- 4. Tahsen Islam Sajon, Maria Chowdhury, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Abu Sayeed, A. F. M. Minhazur Rahman; "Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach", IEEE(ECCE 2023), 2023
- 5. Nahrin Jannat, S. M. Mahedy Hasan, Anwar Hossain Efat, Md Fakrul Taraque, Mostarina Mitu, Md. Al Mamun, Md. Farukuzzaman Faruk; "Stacking Ensemble Technique for Multiple Medical Datasets Classification: A Generalized Prediction Model", IEEE(ECCE 2023), 2023
- 6. Md. Farukuzzaman Faruk, Md. Rabiul Islam and Emrana Kabir Hashi; "Screening Pathological Abnormalities in Gastrointestinal Images Using Deep Ensemble Transfer Learning", IEEE, 2022
- 7. Protiva Ahammed, Md. Farukuzzaman Faruk, Nasif Raihan and Mrinmoy Mondal; "Inception V3 Based Transfer Learning Model for the Prognosis of Acute Lymphoblastic Leukemia from Microscopic Images", IEEE, 2022
- 8. A. Y. Srizon, S. M. M. Hasan, M. F. Faruk, A. Sayeed and M. A. Hossain; "Human Activity Recognition Utilizing Ensemble of Transfer-Learned Attention Networks and a Low-Cost Convolutional Neural Architecture", IEEE, 2022
- 9. M. S. I. Shopnil, S. M. M. Hasan, A. Y. Srizon and M. F. Faruk; "Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning", IEEE, 2022
- 10. Farukuzzaman Faruk; "VGGCovidNet: A Deep Convolutional Neural Network to Predict COVID-19 Cases from X-Ray Images", IEEE, 2021
- 11. Farukuzzaman Faruk; "RGU-Net: Residual Guided U-Net Architecture for Automated Segmentation of COVID-19 Anomalies Using CT Images", IEEE, 2021
- 12. Md. Farukuzzaman Faruk; "ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images", IEEE, 2021
- 13. Mrinmoy Mondal; Md. Farukuzzaman Faruk; Nasif Raihan; Protiva Ahammed; "Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images", IEEE, 2021
- 14. Md. Ahsan Habib Raj , Md. Al Mamun & Md. Farukuzzaman Faruk; "CNN Based Diabetic Retinopathy Status Prediction Using Fundus Images", IEEE, 2020
- 15. Abu Sayeed, Abdul Alim, Ali Hossain & Md. Farukuzzaman Faruk; "Target Class Oriented Subspace Detection for Hyperspectral Image Classification by Using Mutual Information and Cross Cumulative Residual Entropy", IEEE, 2020
- 16. Md. Farukuzzaman Faruk and Abu Sayeed; "K-mer Based DNA Methylation Status Prediction Using Support Vector Machine", IEEE, 2019