Nahiduzzaman M - Search Results

1

Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI.

Ahamed MF, Shafi FB, Nahiduzzaman M, Ayari MA, Khandakar A. Ahamed MF, et al. Among authors: nahiduzzaman m. Comput Biol Med. 2024 Dec 7;185:109503. doi: 10.1016/j.compbiomed.2024.109503. Online ahead of print. Comput Biol Med. 2024. PMID: 39647242

2

Prediction of fetal brain gestational age using multihead attention with Xception.

Hasan MA, Haque F, Roy T, Islam M, Nahiduzzaman M, Hasan MM, Ahsan M, Haider J. Hasan MA, et al. Among authors: nahiduzzaman m. Comput Biol Med. 2024 Nov;182:109155. doi: 10.1016/j.compbiomed.2024.109155. Epub 2024 Sep 14. Comput Biol Med. 2024. PMID: 39278161 Free article.

3

CSXAI: a lightweight 2D CNN-SVM model for detection and classification of various crop diseases with explainable AI visualization.

Prince RH, Mamun AA, Peyal HI, Miraz S, Nahiduzzaman M, Khandakar A, Ayari MA. Prince RH, et al. Among authors: nahiduzzaman m. Front Plant Sci. 2024 Jul 5;15:1412988. doi: 10.3389/fpls.2024.1412988. eCollection 2024. Front Plant Sci. 2024. PMID: 39036360 Free PMC article.

4

Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.

Karim MJ, Goni MOF, Nahiduzzaman M, Ahsan M, Haider J, Kowalski M. Karim MJ, et al. Among authors: nahiduzzaman m. Sci Rep. 2024 Jul 11;14(1):16022. doi: 10.1038/s41598-024-66989-9. Sci Rep. 2024. PMID: 38992069 Free PMC article.

5

Detection of various lung diseases including COVID-19 using extreme learning machine algorithm based on the features extracted from a lightweight CNN architecture.

Nahiduzzaman M, Faruq Goni MO, Robiul Islam M, Sayeed A, Shamim Anower M, Ahsan M, Haider J, Kowalski M. Nahiduzzaman M, et al. Biocybern Biomed Eng. 2023 Jun 26. doi: 10.1016/j.bbe.2023.06.003. Online ahead of print. Biocybern Biomed Eng. 2023. PMID: 38620111 Free PMC article.

6

Economic well-being induced Women's empowerment: Evidence from coastal fishing communities of Bangladesh.

Palash MS, Haque ABMM, Rahman MW, Nahiduzzaman M, Hossain A. Palash MS, et al. Among authors: nahiduzzaman m. Heliyon. 2024 Mar 29;10(7):e28743. doi: 10.1016/j.heliyon.2024.e28743. eCollection 2024 Apr 15. Heliyon. 2024. PMID: 38576559 Free PMC article.

7

Temporal distribution of plankton and fish species at Mithamoin Haor: Abundance, composition, biomass and ecosystem based management approach.

Nahiduzzaman M, Karim E, Nisheeth NN, Bhadra A, Mahmud Y. Nahiduzzaman M, et al. Heliyon. 2023 Nov 28;9(12):e22770. doi: 10.1016/j.heliyon.2023.e22770. eCollection 2023 Dec. Heliyon. 2023. PMID: 38058443 Free PMC article.

8

A review on brain tumor segmentation based on deep learning methods with federated learning techniques.

Ahamed MF, Hossain MM, Nahiduzzaman M, Islam MR, Islam MR, Ahsan M, Haider J. Ahamed MF, et al. Among authors: nahiduzzaman m. Comput Med Imaging Graph. 2023 Dec;110:102313. doi: 10.1016/j.compmedimag.2023.102313. Epub 2023 Nov 24. Comput Med Imaging Graph. 2023. PMID: 38011781 Free article. Review.

9

Explainable deep learning model for automatic mulberry leaf disease classification.

Nahiduzzaman M, Chowdhury MEH, Salam A, Nahid E, Ahmed F, Al-Emadi N, Ayari MA, Khandakar A, Haider J. Nahiduzzaman M, et al. Front Plant Sci. 2023 Sep 19;14:1175515. doi: 10.3389/fpls.2023.1175515. eCollection 2023. Front Plant Sci. 2023. PMID: 37794930 Free PMC article.

10

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

Ahamed MF, Syfullah MK, Sarkar O, Islam MT, Nahiduzzaman M, Islam MR, Khandakar A, Ayari MA, Chowdhury MEH. Ahamed MF, et al. Among authors: nahiduzzaman m. Sensors (Basel). 2023 Sep 7;23(18):7724. doi: 10.3390/s23187724. Sensors (Basel). 2023. PMID: 37765780 Free PMC article.

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