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Md. Musfiqur Rahman Mridha

Observed name: Md. Musfiqur Rahman Mridha Mridha
ORCID: 0009-0001-3581-7366
Observed ORCID: 0009-0001-3581-7366
OpenAlex ID: A5094015910
MRI-Based Identification of Brain Tumors Using Deep Convolutional Neural Networks: A Case Study on Inception V3
2025 · Puja Shaha, Md. Musfiqur Rahman Mridha, et al. · International Conference on Electrical, Computer and Communication Engineering · 3
An Effective Deep Learning Approach to Cardiovascular Disease Detection Using Retinal Fundus Images
2024 · Md. Musfiqur Rahman Mridha, Md. Ali Hossain, et al. · International Conference on Computer and Information Technology (ICCIT) · 3
Pneumonia Detection Using Deep Learning and Machine Learning Approaches from Chest X-Ray
2025 · Md Shahoriar Hossain Shojib, Md. Musfiqur Rahman Mridha, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS) · 2
Classifying Fresh and Rotten Fruits Using Deep Learning: Examining Image-Based Methods for Quality Evaluation
2025 · Saima Rahman Mou, Fatin Nibbrash Nakib, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 2
An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis
2026 · Abu Saleh Mohammad Nabil, Md. Musfiqur Rahman Mridha Mridha, et al. · Polish Journal of Radiology · 1
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Attention-Guided Lightweight CNN for Robust Image Steganalysis under Common Manipulations
2025 · Md. Mubtasim Rahaman, Md. Farhan Shakib, et al. · International Conference on Computer and Information Technology (ICCIT) · 1
Improved Classification of Retinal Disease: An Ensemble Deep Learning Approach for Diabetic Retinopathy, Glaucoma, and Cataracts
2025 · Asif Ahamed, Taufiq Khan, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 1
Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection
2025 · Md. Rafsan Yeasir, Fatin Nibbrash Nakib, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 1
Deep Learning-Based Classification of Potato Leaf Diseases for Sustainable Agriculture
2025 · Md. Humaun Huda, Md. Shahid Ahammed Shakil, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 1
Automated Weed Detection in Agriculture Using Deep Learning Approaches: A Comparison of CNN Architectures
2025 · Zakirul Islam, Md. Musfiqur Rahman Mridha, et al. · International Conference on Electrical, Computer and Communication Engineering · 1
A Comprehensive Detection of Cardiovascular Risks Utilizing Deep Learning & Ensemble Learning Methods Through Retinal Fundus Images
2025 · Md. Musfiqur Rahman Mridha, Md. Ali Hossain, et al. · International Conference on Electrical, Computer and Communication Engineering · 1
Revolutionizing Alzheimer’s: A CNN Model for Early Detection and Accurate Prediction
2025 · Sakib Imtiaz, Md. Fatin Nibbrash Nakib, et al. · International Conference on Electrical, Computer and Communication Engineering · 1
Cryptographic Analysis: Popular Social Media Applications and Mitigations of Vulnerabilities
2023 · Iffath Tanjim Moon, Afsana Mimi, et al. · International Conference on Computer and Information Technology (ICCIT) · 1
A Multimodal Hybrid Deep Learning Framework for Parkinson's Disease Detection from Speech
2026 · Refat-E-Jannat, Md. Shahid Ahammed Shakil, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Detecting Fresh & Rotten Fruits: A Comprehensive Study Using Deep & Machine Learning Techniques
2025 · Fahmida Tahmin, Md. Musfiqur Rahman Mridha, et al. · International Conference on Computer and Information Technology (ICCIT)
An Effective Lung Cancer Detection Approach Using Deep Learning & Machine Learning Techniques from Chest X-ray Images
2025 · Md. Samun Islam, Md. Musfiqur Rahman Mridha, et al. · International Conference on Computer and Information Technology (ICCIT)
Plant Disease Detection: An Effective Approach Incorporating Deep Learning & Machine Learning Techniques
2025 · Md Ishtiaq Ahmed, Md. Musfiqur Rahman Mridha, et al. · International Conference on Computer and Information Technology (ICCIT)
Enhanced MobileNetV1 for Early Autism Detection: A Transfer Learning Approach Using Facial Imagery
2025 · Kazi Mahmudul Hasan, Fatin Nibbrash Nakib, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning
2025 · Refat-E-Jannat, Md. Arafat Ibna Mizan, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
A Skin Lesion Classification Approach Using Transfer Learning to Detect Monkeypox
2025 · Md. Taufiq Khan, Md. Musfiqur Rahman Mridha, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Advancements in Plant Disease Detection: A Comparative Study of Deep Learning-Based Classification Models
2025 · Hafijur Rahman Hemel, Md. Fatin Nibbrash Nakib, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection
2025 · Md. Tauhidur Rahman Rafi, Iffath Tanjim Moon, et al. · European Journal of Artificial Intelligence and Machine Learning
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From Fresh to Foul: Deep Learning’s Discerning Eye on Fruit Decay
2025 · Md. Ashikuzzaman Ashik, Sakib Imtiaz, et al. · International Conference on Electrical, Computer and Communication Engineering
Bone Fracture Classification in X-ray Images: A Deep Learning Approach Leveraging Transfer Learning
2025 · Md. Sabbir Ahammed, Md. Musfiqur Rahman Mridha, et al. · International Conference on Electrical, Computer and Communication Engineering
Leveraging Transfer Learning and Ensemble Models for the Classification of Monkeypox and Other Skin Lesions
2024 · Md. Shahid Ahammed Shakil, Md. Jamil Chaudhary, et al. · International Conference on Computer and Information Technology (ICCIT)
Works count: 29
Citation count: 22
H-index: 2
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