Mohamed Abdel-Nasser

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 70

Top Topics

Ultrasound Images

Top Venues

Expert Syst. Appl.

Neural Comput. Appl.

Publications

Vivek Kumar Singh, Ehab Mahmoud Mohamed, Mohamed Abdel-Nasser
Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. Neural Comput. Appl. 36 (11) (2024)
Vivek Kumar Singh, Ehab Mahmoud Mohamed, Mohamed Abdel-Nasser
Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. Neural Comput. Appl. 36 (11) (2024)
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. Mach. Learn. Knowl. Extr. 6 (1) (2024)
Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. Expert Syst. Appl. 238 (Part C) (2024)
Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. Int. J. Imaging Syst. Technol. 34 (1) (2024)
Ehab Mahmoud Mohamed, Sherief Hashima, Kohei Hatano, Eiji Takimoto, Mohamed Abdel-Nasser
Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association. IEEE Access 11 (2023)
Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
Implicit regularization of a deep augmented neural network model for human motion prediction. Appl. Intell. 53 (14) (2023)
Loay Hassan, Adel Saleh, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. Comput. 12 (11) (2023)
Mohammed Yousef Salem Ali, Mohammed Jabreel, Aïda Valls, Marc Baget, Mohamed Abdel-Nasser
Glaucoma Detection in Retinal Fundus Images Based on Deep Transfer Learning and Fuzzy Aggregation Operators. Int. J. Artif. Intell. Tools 32 (2) (2023)
Mohammed Yousef Salem Ali, Mohamed Abdel-Nasser, Aïda Valls, Marc Baget, Mohammed Jabreel
EDBNet: Efficient Dual-Decoder Boosted Network for Eye Retinal Exudates Segmentation. CCIA (2022)
Aditya Singh, Raghav Narula, Hatem A. Rashwan, Mohamed Abdel-Nasser, Domenec Puig, Gora Chand Nandi
Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots. Neural Comput. Appl. 34 (18) (2022)
Joao Paulo Schwarz Schuler, Santiago Romani Also, Domenec Puig, Hatem A. Rashwan, Mohamed Abdel-Nasser
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints. Entropy 24 (9) (2022)
Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser
Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. Entropy 24 (12) (2022)
Basma Ahmed, Osama Ahmed Omer, Amal Rashed, Domenec Puig, Mohamed Abdel-Nasser
Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. CCIA (2022)
Moona Mazher, Abdul Qayyum, Mohamed Abdel-Nasser, Domenec Puig
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. LAScarQS@MICCAI (2022)
Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
Effective Deep Learning-Based Ensemble Model for Road Crack Detection. Big Data (2022)
Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. CCIA (2022)
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. CCIA (2022)
Mohamed A. Hassanien, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. CCIA (2022)
Gaurav Kumar Yadav, Benigno Moreno Vidales, Sara Dueñas, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. CCIA (2022)
Maryam Tahmooresi, Mohamed Abdel-Nasser, Domenec Puig
Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images. CCIA (2022)
Mohamed Abdel-Nasser, Karar Mahmoud, Matti Lehtonen
HIFA: Promising Heterogeneous Solar Irradiance Forecasting Approach Based on Kernel Mapping. IEEE Access 9 (2021)
Karar Mahmoud, Mohamed Abdel-Nasser, Matti Lehtonen
Low-Computational Voltage-Assessment Approach Considering Fine-Resolution Simulations for Distribution Systems With Photovoltaics. IEEE Syst. J. 15 (4) (2021)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183 (2021)
Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Domenec Puig, Hatem A. Rashwan
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation. CoRR (2021)
Mohammed Yousef Salem Ali, Mohamed Abdel-Nasser, Mohammed Jabreel, Aïda Valls, Marc Baget
Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators. CCIA (2021)
Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. Traitement du Signal 38 (3) (2021)
Joao Paulo Schwarz Schuler, Santiago Romani, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA (2021)
Saif Khalid, Saddam Abdulwahab, Hatem A. Rashwan, Julián Cristiano, Mohamed Abdel-Nasser, Domenec Puig
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network. CCIA (2021)
Eddardaa Ben Loussaief, Mohamed Abdel-Nasser, Domenec Puig
Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective. CCIA (2021)
Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Mohamed Abdel-Nasser, Domenec Puig
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. HECKTOR@MICCAI (2021)
Joao Paulo Schwarz Schuler, Santiago Romani, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA (2021)
Mohamed Abdel-Nasser, Karar Mahmoud, Matti Lehtonen
Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs. IEEE Trans. Ind. Informatics 17 (3) (2021)
Moona Mazher, Abdul Qayyum, Abdesslam Benzinou, Mohamed Abdel-Nasser, Domenec Puig
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. STACOM@MICCAI (2021)
Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. Int. J. Interact. Multim. Artif. Intell. 6 (6) (2021)
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. CCIA (2021)
Basma Ahmed, Mohamed Abdel-Nasser, Osama Ahmed Omer, Amal Rashed, Domenec Puig
No-Reference Digital Image Quality Assessment Based on Structure Similarity. CCIA (2021)
Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation. CCIA (2021)
Karar Mahmoud, Mohamed Abdel-Nasser, Heba Kashef, Domenec Puig, Matti Lehtonen
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics. Int. J. Interact. Multim. Artif. Intell. 6 (4) (2020)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romani, Domenec Puig
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162 (2020)
Mohamed A. Abdelwahab, Mohamed Abdel-Nasser, Rin-Ichiro Taniguchi
Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network. IW-FCV (2020)
Mohamed A. Abdelwahab, Mohamed Abdel-Nasser, Maiya Hori
Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories. IEEE Access 8 (2020)
Mohamed Abdel-Nasser, Francesc Solsona, Domenec Puig
Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer. VISIGRAPP (5: VISAPP) (2020)
Karar Mahmoud, Mahmoud M. Hussein, Mohamed Abdel-Nasser, Matti Lehtonen
Optimal Voltage Control in Distribution Systems With Intermittent PV Using Multiobjective Grey-Wolf-Lévy Optimizer. IEEE Syst. J. 14 (1) (2020)
Mohamed Ragab, Osama Ahmed Omer, Mohamed Abdel-Nasser
Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer. Neural Comput. Appl. 32 (7) (2020)
Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging. VISIGRAPP (4: VISAPP) (2020)
Menshawy Mohamed, Essam Mohamed, Al-Attar Mohamed, Mohamed Abdel-Nasser, Mohamed A. Moustafa Hassan
Detection of Inter Turn Short Circuit Faults in Induction Motor using Artificial Neural Network. FRUCT (2020)
Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA (2019)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR (2019)
Mohamed Abdel-Nasser, Karar Mahmoud
Accurate photovoltaic power forecasting models using deep LSTM-RNN. Neural Comput. Appl. 31 (7) (2019)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romani, Domenec Puig
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7 (2019)
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romani, Domenec Puig
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR (2019)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romani, Domenec Puig
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA (2019)
Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Automated System for Breast Cancer Detection from Electronic Health Records. CCIA (2019)
Adel Saleh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Saddam Abdulwahab, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. VISIGRAPP (5: VISAPP) (2019)
Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. CoRR (2019)
Mohamed Abdel-Nasser, Karar Mahmoud, Heba Kashef
A Novel Smart Grid State Estimation Method Based on Neural Networks. Int. J. Interact. Multim. Artif. Intell. 5 (1) (2018)
Adel Saleh, Mohamed Abdel-Nasser, Miguel Ángel García, Domenec Puig
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition. Pattern Recognit. Lett. 105 (2018)
Mohamed Abdel-Nasser, Antonio Moreno, Hatem A. Rashwan, Domenec Puig
Analyzing the evolution of breast tumors through flow fields and strain tensors. Pattern Recognit. Lett. 93 (2017)
Shimaa Ragab, Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig
Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods. CCIA (2017)
Mohamed Abdel-Nasser, Jaime Melendez, Antonio Moreno, Osama Ahmed Omer, Domenec Puig
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods. Eng. Appl. Artif. Intell. 59 (2017)
Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Nasibeh Saffari Tabalvandani, Domenec Puig
Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms. CCIA (2017)
Mohamed Abdel-Nasser, Osama Ahmed Omer
Ultrasound Image Enhancement Using a Deep Learning Architecture. AISI (2016)
Adel Saleh, Mohamed Abdel-Nasser, Miguel Ángel García, Domenec Puig
The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition. CCIA (2016)
Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig
Towards cost reduction of breast cancer diagnosis using mammography texture analysis. J. Exp. Theor. Artif. Intell. 28 (1-2) (2016)
Adel Saleh, Miguel Ángel García, Farhan Akram, Mohamed Abdel-Nasser, Domenec Puig
Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. VISIGRAPP (3: VISAPP) (2016)
Adel Saleh, Mohamed Abdel-Nasser, Farhan Akram, Miguel Ángel García, Domenec Puig
Analysis of Temporal Coherence in Videos for Action Recognition. ICIAR (2016)
Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Domenec Puig
Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. CCIA (2016)
Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Domenec Puig
Automatic nipple detection in breast thermograms. Expert Syst. Appl. 64 (2016)
Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig
Temporal mammogram image registration using optimized curvilinear coordinates. Comput. Methods Programs Biomed. 127 (2016)
Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Antonio Moreno
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern. Expert Syst. Appl. 42 (24) (2015)
Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig
Analysis of the evolution of breast tumours using strain tensors. CCIA (2015)
Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno, Adel Saleh, Joan Martí, Luis Martin, Anna Magarolas
Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines. VISAPP (1) (2015)
Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno
Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods. CCIA (2014)