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A. K. M. Rakibul Haque Rafid

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Journal Articles

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2023
[j5]
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  - journals/iswa/AzamMFRMJ23
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  - https://dblp.org/rec/journals/iswa/AzamMFRMJ23
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]
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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]
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  - journals/sncs/MontahaARHK23
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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]
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  - journals/access/MontahaARHKI22
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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]
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  - journals/iswa/KhanAM0RHJ22
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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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