| 1 |
Farjana Parvin, Md. Al Mamun |
Deep Feature Fusion Based Effective Brain Tumor Detection and Classification Approach Using MRI |
Springer |
2023 |
Book Chapter |
| 2 |
Sudipta Progga Islam, and Farjana Parvin |
A Deep CNN-Based Approach for Revolutionizing Bengali Handwritten Numeral Recognition |
Springer |
2023 |
Book Chapter |
| 3 |
Ananta Raha, Farjana Parvin, and Tasmia Jannat |
Brain Tumor Segmentation with Efficient and Low-Complex Architecture Using RCNN and Modified U-Net |
Springer |
2023 |
Book Chapter |
| 4 |
Farjana Parvin, and Md. Al Mamun |
An Effective Brain Tumor Classification Approach using Parallel Deep Convolutional Neural Networks |
IEEE |
2023 |
Conference |
| 5 |
Farjana Parvin, and Md. Al Mamun |
Feature Fusion Based Effective Brain Tumor Detection Approach Using MRI |
IEEE |
2022 |
Conference |
| 6 |
Md. Al Mehedi Hasan, Jungpil Shin and Farjana Parvin |
Deep Transfer Learning Based Detection of COVID-19 from Chest X-ray Images |
ACM |
2021 |
Conference |
| 7 |
Farjana Parvin and Md. Al Mehedi Hasan |
A Comparative Study of Different Types of Convolutional Neural Networks for Breast Cancer Histopathological Image Classification |
IEEE |
2020 |
Conference |
