Mustafa A. Alattar
Orcid: 0000-0001-7936-3522
According to our database1,
Mustafa A. Alattar
authored at least 23 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
A Novel Approach to Breast Cancer Segmentation Using U-Net Model with Attention Mechanisms and FedProx.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023
2022
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries.
CoRR, 2022
IEEE Access, 2022
License Plate Image Analysis Empowered by Generative Adversarial Neural Networks (GANs).
IEEE Access, 2022
Proceedings of the 4th Novel Intelligent and Leading Emerging Sciences Conference, 2022
Lung Segmentation Using ResUnet++ Powered by Variational Auto Encoder-Based Enhancement in Chest X-ray Images.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
A Multi-scale Self-supervision Method for Improving Cell Nuclei Segmentation in Pathological Tissues.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
In the Identification of Arabic Dialects: A Loss Function Ensemble Learning Based-Approach.
Proceedings of the Model and Data Engineering: 11th International Conference, 2022
Does Deep Learning Require Image Registration for Early Prediction of Alzheimer's Disease? A Comparative Study Using ADNI Database.
Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2022
A Novel Diagnostic Model for Early Detection of Alzheimer's Disease Based on Clinical and Neuroimaging Features.
Proceedings of the Model and Data Engineering: 11th International Conference, 2022
Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2022
Differentiation Between Normal and Abnormal Functional Brain Connectivity Using Non-directed Model-Based Approach.
Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
A Deep Learning-Based Benchmarking Framework for Lane Segmentation in the Complex and Dynamic Road Scenes.
IEEE Access, 2021
Proceedings of the 3rd Novel Intelligent and Leading Emerging Sciences Conference, 2021
2019
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2015
Automated Detection of Aortic Root Landmarks in Preprocedure CT Angiography Images for Transcatheter Aortic Valve Implantation Patients.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015
2014
A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images.
Medical Image Anal., 2014
Automatic segmentation of the aortic root in CT angiography of candidate patients for transcatheter aortic valve implantation.
Medical Biol. Eng. Comput., 2014
2010
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010