A. K. M. Rakibul Haque Rafid

According to our database, A. K. M. Rakibul Haque Rafid authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images.

Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam

IEEE Access, 2024

2023

Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach.

Sami Azam, Sidratul Montaha, A. K. M. Rakibul Haque Rafid, Asif Karim, Mirjam Jonkman, Friso De Boer, Gabrielle McCallum, Ian Brent Masters, Anne B. Chang

Intell. Syst. Appl., November, 2023

Brain Tumor Segmentation from 3D MRI Scans Using U-Net.

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim

SN Comput. Sci., July, 2023

Using feature maps to unpack the CNN 'Black box' theory with two medical datasets of different modality.

Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A. K. M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman

Intell. Syst. Appl., May, 2023

2022

An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification.

Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman

Intell. Syst. Appl., 2022

TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study.

Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Ashraful Islam

IEEE Access, 2022