| 1 |
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 |
Conference |
| 2 |
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 |
Conference |
| 3 |
Md. Farukuzzaman Faruk, Md. Rabiul Islam and Emrana Kabir Hashi |
Screening Pathological Abnormalities in Gastrointestinal Images Using Deep Ensemble Transfer Learning |
IEEE |
2022 |
Conference |
| 4 |
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 |
Conference |
| 5 |
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 |
Conference |
| 6 |
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 |
Conference |
| 7 |
Farukuzzaman Faruk |
VGGCovidNet: A Deep Convolutional Neural Network to Predict COVID-19 Cases from X-Ray Images |
IEEE |
2021 |
Conference |
| 8 |
Farukuzzaman Faruk |
RGU-Net: Residual Guided U-Net Architecture for Automated Segmentation of COVID-19 Anomalies Using CT Images |
IEEE |
2021 |
Conference |
| 9 |
Md. Farukuzzaman Faruk |
ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images |
IEEE |
2021 |
Conference |
| 10 |
Mrinmoy Mondal; Md. Farukuzzaman Faruk; Nasif Raihan; Protiva Ahammed |
Deep Transfer Learning Based Multi-Class Brain Tumors Classification Using MRI Images |
IEEE |
2021 |
Conference |
| 11 |
Md. Ahsan Habib Raj , Md. Al Mamun & Md. Farukuzzaman Faruk |
CNN Based Diabetic Retinopathy Status Prediction Using Fundus Images |
IEEE |
2020 |
Conference |
| 12 |
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 |
Conference |
| 13 |
Md. Farukuzzaman Faruk and Abu Sayeed |
K-mer Based DNA Methylation Status Prediction Using Support Vector Machine |
IEEE |
2019 |
Conference |
