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Md. Faysal Ahamed

Observed names: Ahamed, Md. Faysal, Faysal Ahamed, Md Faysal Ahamed, Md. Faysal Ahamed
ORCID: 0000-0002-7014-3205
Observed ORCID: 0000-0002-7014-3205
OpenAlex ID: A5017018760
A review on brain tumor segmentation based on deep learning methods with federated learning techniques
2023 · Md. Faysal Ahamed, Md. Munawar Hossain, et al. · Computerized Medical Imaging and Graphics · 175
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
2025 · Md. Nahiduzzaman, Lway Faisal Abdulrazak, et al. · Scientific Reports · 107
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Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
2024 · Md. Faysal Ahamed, Md. Nahiduzzaman, et al. · Expert Systems with Applications · 99
An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability
2025 · Md. Nahiduzzaman, Md. Faysal Ahamed, et al. · Knowledge-Based Systems · 92
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI
2024 · Md. Faysal Ahamed, Md. Rabiul Islam, et al. · IEEE Access · 63
Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification
2023 · Ovi Sarkar, Md. Robiul Islam, et al. · Technologies · 59
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A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications
2024 · Md. Munawar Hossain, Md. Robiul Islam, et al. · Technologies · 56
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Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI
2024 · Md. Faysal Ahamed, Fariya Bintay Shafi, et al. · Computers in Biology and Medicine · 55
Improving Malaria diagnosis through interpretable customized CNNs architectures
2025 · Md. Faysal Ahamed, Md Nahiduzzaman, et al. · Scientific Reports · 52
Streamlining plant disease diagnosis with convolutional neural networks and edge devices
2024 · Md. Faysal Ahamed, Abdus Salam, et al. · Neural Computing and Applications · 43
A comprehensive review of convolutional neural networks: foundations, enhancements and applications
2026 · Md. Himel Reza, Md. Noman Biswas Sibly, et al. · Neural Computing and Applications · 37
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IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
2023 · Md. Faysal Ahamed, Md. Khalid Syfullah, et al. · Sensors · 34
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Bangla News Classification Using GloVe Vectorization, LSTM, and CNN
2021 · Pallab Chowdhury, Ettilla Mohiuddin Eumi, et al. · Lecture notes on data engineering and communications technologies · 27
Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation
2024 · Md. Faysal Ahamed, Md. Rabiul Islam, et al. · Human-Centric Intelligent Systems · 26
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Comprehensive Fault Diagnosis of Three-Phase Induction Motors Using Synchronized Multi-Sensor Data Collection
2025 · Kevin Thomas, Ahasanur Rahman, et al. · Scientific Data · 23
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Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework
2023 · Md. Faysal Ahamed, Md. Robiul Islam, et al. · Studies in autonomic, data-driven and industrial computing · 21
Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh
2025 · Md Safayet Islam, Md Shafiuzzaman, et al. · Neural Computing and Applications · 20
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Performance Evaluation of Various Deep Learning Models in Gait Recognition Using the CASIA-B Dataset
2024 · Nakib Aman, Md. Rabiul Islam, et al. · Technologies · 17
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Detection, localization, segmentation, and classification in colorectal cancer screening using deep learning: A systematic review
2025 · Md. Rakibul Islam, Md. Faysal Ahamed, et al. · Biomedical Signal Processing and Control · 14
Privacy Preserving Federated Learning for Lung Cancer Classification
2023 · Md. Munawar Hossain, Md. Faysal Ahamed, et al. · International Conference on Computer and Information Technology (ICCIT) · 13
An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM
2021 · Ovi Sarkar, Md Faysal Ahamed, et al. · International Conference for Emerging Technology (INCET) · 10
A comprehensive review of U-Net architectures for medical image segmentation: emerging trends and federated learning perspectives
2026 · Md. Fahim Hossen, Anirban Sarkar, et al. · Neural Computing and Applications · 8
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI
2025 · Oishi Jyoti, Hafsa Binte Kibria, et al. · IEEE Access · 8
Multi-label Bengali Abusive Comments Classification using Problem Transformation Method
2023 · Tahsin Tasnia Khan, Abid Hassan, et al. · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · 8
Optimizing Skin Lesion Segmentation with UNet and Attention-Guidance Utilizing Test Time Augmentation
2024 · Md. Faysal Ahamed, Md. Munawar Hossain, et al. · International Conference on Electrical Engineering and Information Communication Technology · 7
Works count: 62
Citation count: 1,168
H-index: 18
I10-index: 22
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