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ORCIDA. K. M. Rakibul Haque Rafid
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2020 – today
- 2024
[j6]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:
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images. IEEE Access 12: 31117-31135 (2024)- 2023
- [j5]Sami Azam
, Sidratul Montaha, Kayes Uddin Fahim, A. K. M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman:
Using feature maps to unpack the CNN 'Black box' theory with two medical datasets of different modality. Intell. Syst. Appl. 18: 200233 (2023) - [j4]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:
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach. Intell. Syst. Appl. 20: 200279 (2023) - [j3]Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim:
Brain Tumor Segmentation from 3D MRI Scans Using U-Net. SN Comput. Sci. 4(4): 386 (2023) - 2022
- [j2]Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Ashraful Islam:
TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study. IEEE Access 10: 60039-60059 (2022) - [j1]Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman:
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification. Intell. Syst. Appl. 16: 200147 (2022)
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