Md. Ashraful Alam
Orcid: 0000-0002-3001-9648
According to our database1,
Md. Ashraful Alam
authored at least 21 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
2023
PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information and Their Application in Complex Decision-Making.
Complex., 2022
2021
Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy.
Sensors, 2021
Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing.
Remote. Sens., 2021
Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders.
Biomed. Signal Process. Control., 2021
DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image.
Artif. Intell. Medicine, 2021
Multi-Class Probabilistic Atlas-Based Whole Heart Segmentation Method in Cardiac CT and MRI.
IEEE Access, 2021
A Deep Learning Approach for Reconstruction of Color Images in Different Lighting Conditions Based on Autoencoder Technique.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Sensors, 2020
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images.
CoRR, 2020
Data-driven missing data imputation in cluster monitoring system based on deep neural network.
Appl. Intell., 2020
IEEE Access, 2020
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020
2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks.
CoRR, 2019
Analysis of Linear and Non-Linear Classiers in Imbalanced Data to Predict Diabetes Induced Complications.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019
Proceedings of the Engineering Reality of Virtual Reality 2019, 2019
3D visualization of 2D/360° image and navigation in virtual reality through motion processing via smartphone sensors.
Proceedings of the Engineering Reality of Virtual Reality 2019, 2019
2014
Proceedings of the Automated Deduction in Geometry - 10th International Workshop, 2014
2012
Proceedings of the Computation, Physics and Beyond, 2012