Mohamed Abdel-Nasser

According to our database1, Mohamed Abdel-Nasser authored at least 27 papers between 2014 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Accurate photovoltaic power forecasting models using deep LSTM-RNN.
Neural Computing and Applications, 2019

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation.
CoRR, 2019

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning.
CoRR, 2019

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network.
CoRR, 2019

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention.
IEEE Access, 2019

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Mass Detection in Mammograms Using a Robust Deep Learning Model.
Proceedings of the Artificial Intelligence Research and Development, 2019

Food Places Classification in Egocentric Images Using Siamese Neural Networks.
Proceedings of the Artificial Intelligence Research and Development, 2019

Automated System for Breast Cancer Detection from Electronic Health Records.
Proceedings of the Artificial Intelligence Research and Development, 2019

2018
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition.
Pattern Recognition Letters, 2018

A Novel Smart Grid State Estimation Method Based on Neural Networks.
IJIMAI, 2018

2017
Analyzing the evolution of breast tumors through flow fields and strain tensors.
Pattern Recognition Letters, 2017

Breast tumor classification in ultrasound images using texture analysis and super-resolution methods.
Eng. Appl. of AI, 2017

Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms.
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016
Towards cost reduction of breast cancer diagnosis using mammography texture analysis.
J. Exp. Theor. Artif. Intell., 2016

Automatic nipple detection in breast thermograms.
Expert Syst. Appl., 2016

Temporal mammogram image registration using optimized curvilinear coordinates.
Computer Methods and Programs in Biomedicine, 2016

Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Analysis of Temporal Coherence in Videos for Action Recognition.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition.
Proceedings of the Artificial Intelligence Research and Development, 2016

Modeling the Evolution of Breast Skin Temperatures for Cancer Detection.
Proceedings of the Artificial Intelligence Research and Development, 2016

Ultrasound Image Enhancement Using a Deep Learning Architecture.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, 2016

2015
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern.
Expert Syst. Appl., 2015

Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines.
Proceedings of the VISAPP 2015, 2015

Analysis of the evolution of breast tumours using strain tensors.
Proceedings of the Artificial Intelligence Research and Development, 2015

2014
Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods.
Proceedings of the Artificial Intelligence Research and Development, 2014


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