Mustafa A. Alattar

Orcid: 0000-0001-7936-3522

According to our database1, Mustafa A. Alattar authored at least 26 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel data augmentation approach for ego-lane detection enhancement.
Evol. Syst., June, 2024

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge.
CoRR, 2024

Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning.
CoRR, 2024

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

Automatic Early Diagnosis of Alzheimer's Disease Using 3D Deep Ensemble Approach.
IEEE Access, 2022

License Plate Image Analysis Empowered by Generative Adversarial Neural Networks (GANs).
IEEE Access, 2022

Light-Weight Food/Non-Food Classifier for Real-Time Applications.
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

A CAD System for Lung Cancer Detection Using Chest X-ray: A Review.
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

LTE Uplink Interference Inspection Using Convolutional Neural Networks.
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

Automatic Planning of Minimally Invasive Aortic Valve Replacement Surgery.
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
Myocardial Segmentation Using Constrained Multi-Seeded Region Growing.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010


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