M. Abdel-Nasser

发表

Accurate photovoltaic power forecasting models using deep LSTM-RNN

Mohamed Abdel-Nasser, Karar Mahmoud, M. Abdel-Nasser, 2017, Neural Computing and Applications.

The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition

Mohamed Abdel-Nasser, Domenec Puig, Miguel Ángel García, 2016, CCIA.

Automated System for Breast Cancer Detection from Electronic Health Records

Mohamed Abdel-Nasser, Domenec Puig, Adel Saleh, 2019, CCIA.

Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging

Mohamed Abdel-Nasser, Domenec Puig, Adel Saleh, 2020, VISIGRAPP.

An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints

Hatem A. Rashwan, Santiago Romani Also, Joao Paulo Schwarz Schuler, 2022, Entropy.

Predicting Breast Tumor Malignancy Using Deep ConvNeXt Radiomics and Quality-Based Score Pooling in Ultrasound Sequences

Mohamed A. M. Hassanien, D. Puig, M. Abdel-Nasser, 2022, Diagnostics.

Impacts of GERD on the Accumulated Sediment in Lake Nubia Using Machine Learning and GIS Techniques

M. Abdel-Nasser, Karar Mahmoud, A. Negm, 2018 .

Effective Approaches for Fetal Brain Segmentation in MRI and Gestational Age Estimation Utilizing Multiview Deep Inception Residual Network and Radiomics

D. Puig, M. Abdel-Nasser, M. Mazher, 2022, SSRN Electronic Journal.

Distribution of Multi MmWave UAV Mounted RIS Using Budget Constraint Multi-Player MAB

M. Abdel-Nasser, E. M. Mohamed, S. Hashima, 2022, Electronics.

Color-Aware Two-Branch DCNN for Efficient Plant Disease Classification

Hatem A. Rashwan, Joao Paulo Schwarz Schuler, D. Puig, 2022, MENDEL.

Effective ML-based quality of life prediction approach for dependent people in guardianship entities

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2022, Alexandria Engineering Journal.

Breast tumor classification in ultrasound images using texture analysis and super-resolution methods

Antonio Moreno, Mohamed Abdel-Nasser, Domenec Puig, 2017, Eng. Appl. Artif. Intell..

C16. Multimodal Medical Image Registration Approach Using an Artificial Immune System for Noisy and Partial Data

Mohamed Abdel-Nasser, Osama A. Omer, M. Abdel-Nasser, 2013, NRSC 2013.

Efficient Staining-Invariant Nuclei Segmentation Approach Using Self-Supervised Deep Contrastive Network

Vivek Kumar Singh, M. Abdel-Nasser, Ehab Mahmoud Mohamed, 2022, Diagnostics.

Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model

D. Puig, M. Abdel-Nasser, A. Qayyum, 2021, HECKTOR@MICCAI.

Mass Detection in Mammograms Using a Robust Deep Learning Model

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, International Conference of the Catalan Association for Artificial Intelligence.

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2020, Expert Syst. Appl..

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs

Matti Lehtonen, Mohamed Abdel-Nasser, Karar Mahmoud, 2021, IEEE Transactions on Industrial Informatics.

Accurate photovoltaic power forecasting models using deep LSTM-RNN

M. Abdel-Nasser, K. Mahmoud, 2019, Neural Computing and Applications.

Improved Salp–Swarm Optimizer and Accurate Forecasting Model for Dynamic Economic Dispatch in Sustainable Power Systems

Mohamed Abdel-Nasser, Karar Mahmoud, Ziad M. Ali, 2020, Sustainability.

ANN-Based STATCOM Tuning for Performance Enhancement of Combined Wind Farms

Salah Kamel, Francisco Jurado, Mohamed Abdel-Nasser, 2019, Electric Power Components and Systems.

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Syeda Furruka Banu, 2019, 1907.00856.

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network pdf

Petia Radeva, Vivek Kumar Singh, Mohamed Abdel-Nasser, 2019, Expert Syst. Appl..

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, IEEE Access.

LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework

D. Puig, M. Abdel-Nasser, Nidhi Pandey, 2021, Diagnostics.

Effective Deep Learning-Based Ensemble Model for Road Crack Detection

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2022, 2022 IEEE International Conference on Big Data (Big Data).

A Novel Smart Grid State Estimation Method Based on Neural Networks

Mohamed Abdel-Nasser, Karar Mahmoud, Heba Kashef, 2018, Int. J. Interact. Multim. Artif. Intell..

Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer

Mohamed Abdel-Nasser, Mohamed Ragab, Osama A. Omer, 2018, Neural Computing and Applications.

Efficient Stain-Aware Nuclei Segmentation Deep Learning Framework for Multi-Center Histopathological Images

Mohamed Abdel-Nasser, Domenec Puig, Adel Saleh, 2021, Electronics.

The Impact of Pixel Resolution, Integration Scale, Preprocessing, and Feature Normalization on Texture Analysis for Mass Classification in Mammograms

Antonio Moreno, Mohamed Abdel-Nasser, Domenec Puig, 2016 .

Optimal Voltage Regulation Scheme for PV-Rich Distribution Systems Interconnected with D-STATCOM

M. Abdel-Nasser, M. Lehtonen, M. Hussein, 2020, Electric Power Components and Systems.

Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition

Mohamed Abdel-Nasser, Domenec Puig, Miguel Ángel García, 2016, VISIGRAPP.

Application of mutation operators to grey wolf optimizer for solving emission-economic dispatch problem

Mohamed Abdel-Nasser, Karar Mahmoud, Eman Mostafa, 2018, 2018 International Conference on Innovative Trends in Computer Engineering (ITCE).

Performance evaluation of metaheuristic optimization methods with mutation operators for combined economic and emission dispatch

Mohamed Abdel-Nasser, Karar Mahmoud, M. Abdel-Nasser, 2017, 2017 Nineteenth International Middle East Power Systems Conference (MEPCON).

Fast yet Accurate Energy-Loss-Assessment Approach for Analyzing/Sizing PV in Distribution Systems Using Machine Learning

Mohamed Abdel-Nasser, Karar Mahmoud, M. Abdel-Nasser, 2019, IEEE Transactions on Sustainable Energy.

Robust Yet Simple Deep Learning-Based Ensemble Approach for Assessing Diabetic Retinopathy in Fundus Images

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2022, Impact.

A computer-aided diagnosis system for breast cancer molecular subtype prediction in mammographic images

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, State of the Art in Neural Networks and their Applications.

Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines

Mohamed Abdel-Nasser, Domenec Puig, Joan Martí, 2015, VISAPP.

Breast Cancer Detection in Thermal Infrared Images Using Representation Learning and Texture Analysis Methods

Antonio Moreno, Mohamed Abdel-Nasser, Domenec Puig, 2019, Electronics.

Power loss estimation in smart grids using a neural network model

Mohamed Abdel-Nasser, Karar Mahmoud, Heba Kashef, 2018, 2018 International Conference on Innovative Trends in Computer Engineering (ITCE).

Temporal mammogram image registration using optimized curvilinear coordinates

Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno, 2016, Comput. Methods Programs Biomed..

Induction motor broken rotor bar faults diagnosis using ANFIS-based DWT

Al-Attar Ali Mohamed, Essam E. M. Mohamed, Mohamed Abdel-Nasser, 2019 .

Computer aided diagnosis system for skin lesions detection using texture analysis methods

Mohamed Abdel-Nasser, Osama A. Omer, Habeba Mahmoud, 2018, 2018 International Conference on Innovative Trends in Computer Engineering (ITCE).

Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks

Hatem A. Rashwan, Joao Paulo Schwarz Schuler, D. Puig, 2022, MENDEL.

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

Food Places Classification in Egocentric Images Using Siamese Neural Networks

Petia Radeva, Vivek Kumar Singh, Mohamed Abdel-Nasser, 2019, International Conference of the Catalan Association for Artificial Intelligence.

Link quality prediction in wireless community networks using deep recurrent neural networks

Osama A. Omer, Matti Lehtonen, Mohamed Abdel-Nasser, 2020 .

WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, CCIA.

Automatic nipple detection in breast thermograms

Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno, 2016, Expert Syst. Appl..

Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2015, Expert Syst. Appl..

Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association

E. Takimoto, M. Abdel-Nasser, E. M. Mohamed, 2023, IEEE Access.

Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network

Mohamed Abdel-Nasser, Rin-ichiro Taniguchi, Mohamed A. Abdelwahab, 2020, IW-FCV.

Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories

Mohamed Abdel-Nasser, Maiya Hori, Mohamed A. Abdelwahab, 2020, IEEE Access.

No-Reference Digital Image Quality Assessment Based on Structure Similarity

Mohamed Abdel-Nasser, Domenec Puig, Amal A. M. Rashed, 2021, CCIA.

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation pdf

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2021, Applied Sciences.

Ultrasound Image Enhancement Using a Deep Learning Architecture

Mohamed Abdel-Nasser, Osama Ahmed Omer, M. Abdel-Nasser, 2016, AISI.

Analyzing the evolution of breast tumors through flow fields and strain tensors

Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, 2017, Pattern Recognit. Lett..

HIFA: Promising Heterogeneous Solar Irradiance Forecasting Approach Based on Kernel Mapping

Matti Lehtonen, Mohamed Abdel-Nasser, Karar Mahmoud, 2021, IEEE Access.

Towards cost reduction of breast cancer diagnosis using mammography texture analysis

Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno, 2016, J. Exp. Theor. Artif. Intell..

Fully Automated Breast Density Segmentation and Classification Using Deep Learning

Eleni Mangina, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2020, Diagnostics.

Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach

D. Puig, M. Abdel-Nasser, Adel Saleh, 2023, Comput..

FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning

Hatem A. Rashwan, D. Puig, M. Abdel-Nasser, 2024, Expert Syst. Appl..

Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective

Mohamed Abdel-Nasser, Domenec Puig, Eddardaa Ben Loussaief, 2021, CCIA.

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning pdf

Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, 2019, ArXiv.

Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors

D. Puig, M. Abdel-Nasser, Adel Saleh, 2024, Machine Learning and Knowledge Extraction.

Breast Ultrasound CAD System Based on Efficient Tumour Segmentation Network and Transfer-Learned Features

M. García, D. Puig, M. Abdel-Nasser, 2022, 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT).