Mohamed Abdel-Nasser

According to our database1, Mohamed Abdel-Nasser authored at least 53 papers between 2014 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2021
Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs.
IEEE Trans. Ind. Informatics, 2021

Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network.
Traitement du Signal, 2021

Low-Computational Voltage-Assessment Approach Considering Fine-Resolution Simulations for Distribution Systems With Photovoltaics.
IEEE Syst. J., 2021

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs.
Int. J. Interact. Multim. Artif. Intell., 2021

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network.
Expert Syst. Appl., 2021

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation.
CoRR, 2021

HIFA: Promising Heterogeneous Solar Irradiance Forecasting Approach Based on Kernel Mapping.
IEEE Access, 2021

Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet.
Proceedings of the Artificial Intelligence Research and Development, 2021

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches.
Proceedings of the Artificial Intelligence Research and Development, 2021

Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective.
Proceedings of the Artificial Intelligence Research and Development, 2021

Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network.
Proceedings of the Artificial Intelligence Research and Development, 2021

Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques.
Proceedings of the Artificial Intelligence Research and Development, 2021

WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation.
Proceedings of the Artificial Intelligence Research and Development, 2021

Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators.
Proceedings of the Artificial Intelligence Research and Development, 2021

No-Reference Digital Image Quality Assessment Based on Structure Similarity.
Proceedings of the Artificial Intelligence Research and Development, 2021

2020
Optimal Voltage Control in Distribution Systems With Intermittent PV Using Multiobjective Grey-Wolf-Lévy Optimizer.
IEEE Syst. J., 2020

Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer.
Neural Comput. Appl., 2020

Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics.
Int. J. Interact. Multim. Artif. Intell., 2020

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework.
Expert Syst. Appl., 2020

Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories.
IEEE Access, 2020

Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Detection of Inter Turn Short Circuit Faults in Induction Motor using Artificial Neural Network.
Proceedings of the 26th Conference of Open Innovations Association, 2020

Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network.
Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

2019
Accurate photovoltaic power forecasting models using deep LSTM-RNN.
Neural Comput. Appl., 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 Recognit. Lett., 2018

A Novel Smart Grid State Estimation Method Based on Neural Networks.
Int. J. Interact. Multim. Artif. Intell., 2018

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

Breast tumor classification in ultrasound images using texture analysis and super-resolution methods.
Eng. Appl. Artif. Intell., 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.
Comput. Methods Programs Biomed., 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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