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Md Faysal Ahamed

Showing results (1-10 of 11) with videos related to

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Computers in Biology and Medicine|December 8, 2024
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAIMd Faysal Ahamed, Fariya Bintay Shafi, Md Nahiduzzaman, et al.
Artificial Intelligence in Medicine|January 20, 2026
Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentationMd Faysal Ahamed, Fariya Bintay Shafi, Md Rabiul Islam, et al.
Scientific Data|August 22, 2025
Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data CollectionKevin Thomas, Ahasanur Rahman, Wesam Rohouma, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 27, 2023
A review on brain tumor segmentation based on deep learning methods with federated learning techniquesMd Faysal Ahamed, Md Munawar Hossain, Md Nahiduzzaman, et al.
Scientific Reports|April 10, 2026
Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approachAnish Kumar Biswas, Md Faysal Ahamed, Fariya Bintay Shafi, et al.
Scientific Reports|February 22, 2025
Improving Malaria diagnosis through interpretable customized CNNs architecturesMd Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, et al.
Scientific Reports|January 10, 2025
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Sensors (Basel, Switzerland)|September 28, 2023
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation TechniquesMd Faysal Ahamed, Md Khalid Syfullah, Ovi Sarkar, et al.
Scientific Reports|March 12, 2025
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Scientific Data|December 11, 2025
Microscopic image dataset of fungal spores for computer vision applications in Tectona grandis and other taxaSyeda Munjiba Islam, Md Shariar Hossain Sazzad, Md Faysal Ahamed, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

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Pageof 2
Computers in Biology and Medicine|December 8, 2024
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAIMd Faysal Ahamed, Fariya Bintay Shafi, Md Nahiduzzaman, et al.
Artificial Intelligence in Medicine|January 20, 2026
Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentationMd Faysal Ahamed, Fariya Bintay Shafi, Md Rabiul Islam, et al.
Scientific Data|August 22, 2025
Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data CollectionKevin Thomas, Ahasanur Rahman, Wesam Rohouma, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 27, 2023
A review on brain tumor segmentation based on deep learning methods with federated learning techniquesMd Faysal Ahamed, Md Munawar Hossain, Md Nahiduzzaman, et al.
Scientific Reports|April 10, 2026
Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approachAnish Kumar Biswas, Md Faysal Ahamed, Fariya Bintay Shafi, et al.
Scientific Reports|February 22, 2025
Improving Malaria diagnosis through interpretable customized CNNs architecturesMd Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, et al.
Scientific Reports|January 10, 2025
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Sensors (Basel, Switzerland)|September 28, 2023
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation TechniquesMd Faysal Ahamed, Md Khalid Syfullah, Ovi Sarkar, et al.
Scientific Reports|March 12, 2025
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI imagesMd Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Scientific Data|December 11, 2025
Microscopic image dataset of fungal spores for computer vision applications in Tectona grandis and other taxaSyeda Munjiba Islam, Md Shariar Hossain Sazzad, Md Faysal Ahamed, et al.
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