Mustafa Elattar

According to our database1, Mustafa Elattar authored at least 11 papers between 2020 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
STG-MTL: Scalable Task Grouping for Multi-Task Learning Using Data Map.
CoRR, 2023

Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

Revolutionizing Cancer Diagnosis Through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

Transfer Learning in Segmenting Myocardium Perfusion Images.
Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2023

2022
Efficient Pipeline for Rapid Detection of Catheters and Tubes in Chest Radiographs.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
Machine Learning-based Module for Monitoring LTE/WiFi Coexistence Networks Dynamics.
Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020
A Multi-Embeddings Approach Coupled with Deep Learning for Arabic Named Entity Recognition.
Proceedings of the 2nd Novel Intelligent and Leading Emerging Sciences Conference, 2020

Real-time 4-way Intersection Smart Traffic Control System.
Proceedings of the 2nd Novel Intelligent and Leading Emerging Sciences Conference, 2020

Multi-center, Multi-vendor, and Multi-disease Cardiac Image Segmentation Using Scale-Independent Multi-gate UNET.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Left Ventricle Segmentation Using Scale-Independent Multi-Gate UNET in MRI Images.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Detection of Mammalian Coding Sequences Using a Hybrid Approach of Chaos Game Representation and Machine Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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