Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods. - Mohamed Abdel-Nasser; Domenec Puig; Antonio Moreno (CCIA, 2014)

Analysis of the evolution of breast tumours using strain tensors. - Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (CCIA, 2015)

Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines. - Mohamed Abdel-Nasser; Domenec Puig; Antonio Moreno; Adel Saleh; Joan Martí; Luis Martin; Anna Magarolas (VISAPP (1), 2015)

Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern. - Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig; Antonio Moreno (Expert Syst. Appl., 2015)

Ultrasound Image Enhancement Using a Deep Learning Architecture. - Mohamed Abdel-Nasser; Osama Ahmed Omer (AISI, 2016)

Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig (CCIA, 2016)

The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition. - Adel Saleh; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (CCIA, 2016)

Analysis of Temporal Coherence in Videos for Action Recognition. - Adel Saleh; Mohamed Abdel-Nasser; Farhan Akram; Miguel Ángel García; Domenec Puig (ICIAR, 2016)

Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. - Adel Saleh; Miguel Ángel García; Farhan Akram; Mohamed Abdel-Nasser; Domenec Puig (VISIGRAPP (3: VISAPP), 2016)

Temporal mammogram image registration using optimized curvilinear coordinates. - Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (Comput. Methods Programs Biomed., 2016)

Automatic nipple detection in breast thermograms. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig (Expert Syst. Appl., 2016)

Towards cost reduction of breast cancer diagnosis using mammography texture analysis. - Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (J. Exp. Theor. Artif. Intell., 2016)

Development of advanced computer methods for breast cancer image interpretation through texture and temporal evolution analysis. - Mohamed Abdel-Nasser (2016)

Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Nasibeh Saffari Tabalvandani; Domenec Puig (CCIA, 2017)

Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods. - Shimaa Ragab; Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (CCIA, 2017)

Breast tumor classification in ultrasound images using texture analysis and super-resolution methods. - Mohamed Abdel-Nasser; Jaime Melendez; Antonio Moreno; Osama Ahmed Omer; Domenec Puig (Eng. Appl. Artif. Intell., 2017)

Analyzing the evolution of breast tumors through flow fields and strain tensors. - Mohamed Abdel-Nasser; Antonio Moreno; Hatem A. Rashwan; Domenec Puig (Pattern Recognit. Lett., 2017)

A Novel Smart Grid State Estimation Method Based on Neural Networks. - Mohamed Abdel-Nasser; Karar Mahmoud; Heba Kashef (Int. J. Interact. Multim. Artif. Intell., 2018)

Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition. - Adel Saleh; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (Pattern Recognit. Lett., 2018)

Automated System for Breast Cancer Detection from Electronic Health Records. - Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2019)

Food Places Classification in Egocentric Images Using Siamese Neural Networks. - Md. Mostafa Kamal Sarker; Syeda Furruka Banu; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Sylvie Chambon; Petia Radeva; Domenec Puig (CCIA, 2019)

Mass Detection in Mammograms Using a Robust Deep Learning Model. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Rami Haffar; Nidhi Pandey; Md. Mostafa Kamal Sarker; Sebastian Kohan; Josep Guma; Santiago Romaní; Domenec Puig (CCIA, 2019)

FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. - Adel Saleh; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Saddam Abdulwahab; Md. Mostafa Kamal Sarker; Miguel Ángel García; Domenec Puig (VISIGRAPP (5: VISAPP), 2019)

FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Alain Lalande; Benoit Presles; Santiago Romaní; Domenec Puig (IEEE Access, 2019)

MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Mohamed Abdel-Nasser; Vivek Kumar Singh 008; Syeda Furruka Banu; Farhan Akram; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig (CoRR, 2019)

An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. - Vivek Kumar Singh 008; Hatem A. Rashwan; Mohamed Abdel-Nasser; Md. Mostafa Kamal Sarker; Farhan Akram; Nidhi Pandey; Santiago Romaní; Domenec Puig (CoRR, 2019)

Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. - Farhan Akram; Vivek Kumar Singh 008; Hatem A. Rashwan; Mohamed Abdel-Nasser; Md. Mostafa Kamal Sarker; Nidhi Pandey; Domenec Puig (CoRR, 2019)

Accurate photovoltaic power forecasting models using deep LSTM-RNN. - Mohamed Abdel-Nasser; Karar Mahmoud (Neural Comput. Appl., 2019)

Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network. - Mohamed A. Abdelwahab; Mohamed Abdel-Nasser; Rin-Ichiro Taniguchi (IW-FCV, 2020)

Detection of Inter Turn Short Circuit Faults in Induction Motor using Artificial Neural Network. - Menshawy Mohamed; Essam Mohamed; Al-Attar Ali Mohamed; Mohamed Abdel-Nasser; Mohamed A. Moustafa Hassan (FRUCT, 2020)

Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging. - Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (VISIGRAPP (4: VISAPP), 2020)

Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer. - Mohamed Abdel-Nasser; Francesc Solsona; Domenec Puig (VISIGRAPP (5: VISAPP), 2020)

Reliable and Rapid Traffic Congestion Detection Approach Based on Deep Residual Learning and Motion Trajectories. - Mohamed A. Abdelwahab; Mohamed Abdel-Nasser; Maiya Hori (IEEE Access, 2020)

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. - Vivek Kumar Singh 008; Mohamed Abdel-Nasser; Farhan Akram; Hatem A. Rashwan; Md. Mostafa Kamal Sarker; Nidhi Pandey; Santiago Romaní; Domenec Puig (Expert Syst. Appl., 2020)

Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics. - Karar Mahmoud; Mohamed Abdel-Nasser; Heba Kashef; Domenec Puig; Matti Lehtonen (Int. J. Interact. Multim. Artif. Intell., 2020)

Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer. - Mohamed Ragab 002; Osama Ahmed Omer; Mohamed Abdel-Nasser (Neural Comput. Appl., 2020)

Optimal Voltage Control in Distribution Systems With Intermittent PV Using Multiobjective Grey-Wolf-Lévy Optimizer. - Karar Mahmoud; Mahmoud M. Hussein; Mohamed Abdel-Nasser; Matti Lehtonen (IEEE Syst. J., 2020)

No-Reference Digital Image Quality Assessment Based on Structure Similarity. - Basma Ahmed; Mohamed Abdel-Nasser; Osama Ahmed Omer; Amal Rashed; Domenec Puig (CCIA, 2021)

Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators. - Mohammed Yousef Salem Ali; Mohamed Abdel-Nasser; Mohammed Jabreel; Aïda Valls; Marc Baget (CCIA, 2021)

WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation. - Syeda Furruka Banu; Md. Mostafa Kamal Sarker; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2021)

Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2021)

Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network. - Saif Khalid; Saddam Abdulwahab; Hatem A. Rashwan; Julián Cristiano; Mohamed Abdel-Nasser; Domenec Puig (CCIA, 2021)

Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective. - Eddardaa Ben Loussaief; Mohamed Abdel-Nasser; Domenec Puig (CCIA, 2021)

Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. - Joao Paulo Schwarz Schuler; Santiago Romaní; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2021)

Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. - Joao Paulo Schwarz Schuler; Santiago Romaní; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2021)

Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. - Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Mohamed Abdel-Nasser; Domenec Puig (HECKTOR@MICCAI, 2021)

Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. - Moona Mazher; Abdul Qayyum; Abdesslam Benzinou; Mohamed Abdel-Nasser; Domenec Puig (STACOM@MICCAI, 2021)

HIFA: Promising Heterogeneous Solar Irradiance Forecasting Approach Based on Kernel Mapping. - Mohamed Abdel-Nasser; Karar Mahmoud; Matti Lehtonen (IEEE Access, 2021)

AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation. - Syeda Furruka Banu; Md. Mostafa Kamal Sarker; Mohamed Abdel-Nasser; Domenec Puig; Hatem A. Rashwan (CoRR, 2021)

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Vivek Kumar Singh 008; Syeda Furruka Banu; Forhad U. H. Chowdhury; Kabir Ahmed Choudhury; Sylvie Chambon; Petia Radeva; Domenec Puig; Mohamed Abdel-Nasser (Expert Syst. Appl., 2021)

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. - Loay Hassan; Adel Saleh; Mohamed Abdel-Nasser; Osama Ahmed Omer; Domenec Puig (Int. J. Interact. Multim. Artif. Intell., 2021)

Low-Computational Voltage-Assessment Approach Considering Fine-Resolution Simulations for Distribution Systems With Photovoltaics. - Karar Mahmoud; Mohamed Abdel-Nasser; Matti Lehtonen (IEEE Syst. J., 2021)

Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. - Loay Hassan; Adel Saleh; Mohamed Abdel-Nasser; Osama Ahmed Omer; Domenec Puig (Traitement du Signal, 2021)

Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs. - Mohamed Abdel-Nasser; Karar Mahmoud; Matti Lehtonen (IEEE Trans. Ind. Informatics, 2021)

Effective Deep Learning-Based Ensemble Model for Road Crack Detection. - Ammar M. Okran; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (IEEE Big Data, 2022)

Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. - Basma Ahmed; Osama Ahmed Omer; Amal Rashed; Domenec Puig; Mohamed Abdel-Nasser (CCIA, 2022)

EDBNet: Efficient Dual-Decoder Boosted Network for Eye Retinal Exudates Segmentation. - Mohammed Yousef Salem Ali; Mohamed Abdel-Nasser; Aïda Valls; Marc Baget; Mohammed Jabreel (CCIA, 2022)

Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2022)

Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. - Mohamed A. Hassanien; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (CCIA, 2022)

A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. - Ammar M. Okran; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig (CCIA, 2022)

Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images. - Maryam Tahmooresi; Mohamed Abdel-Nasser; Domenec Puig (CCIA, 2022)

Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. - Gaurav Kumar Yadav; Benigno Moreno Vidales; Sara Dueñas; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig; Gora Chand Nandi (CCIA, 2022)

Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. - Moona Mazher; Abdul Qayyum; Mohamed Abdel-Nasser; Domenec Puig (LAScarQS@MICCAI, 2022)

An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints. - Joao Paulo Schwarz Schuler; Santiago Romani Also; Domenec Puig; Hatem A. Rashwan; Mohamed Abdel-Nasser (Entropy, 2022)

Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots. - Aditya Singh; Raghav Narula; Hatem A. Rashwan; Mohamed Abdel-Nasser; Domenec Puig; Gora Chand Nandi (Neural Comput. Appl., 2022)

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. - Moona Mazher; Abdul Qayyum; Domenec Puig; Mohamed Abdel-Nasser (Entropy, 2022)

Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association. - Ehab Mahmoud Mohamed; Sherief Hashima; Kohei Hatano; Eiji Takimoto; Mohamed Abdel-Nasser (IEEE Access, 2023)

Glaucoma Detection in Retinal Fundus Images Based on Deep Transfer Learning and Fuzzy Aggregation Operators. - Mohammed Yousef Salem Ali; Mohammed Jabreel; Aïda Valls; Marc Baget; Mohamed Abdel-Nasser (Int. J. Artif. Intell. Tools, 2023)

Implicit regularization of a deep augmented neural network model for human motion prediction. - Gaurav Kumar Yadav; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig; Gora Chand Nandi (Appl. Intell., 2023)

Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. - Loay Hassan; Adel Saleh; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (Comput., 2023)

FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning. - Saif Khalid; Hatem A. Rashwan; Saddam Abdulwahab; Mohamed Abdel-Nasser; Facundo Manuel Quiroga; Domenec Puig (CoRR, 2024)

Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. - Moona Mazher; Abdul Qayyum; Domenec Puig; Mohamed Abdel-Nasser (Int. J. Imaging Syst. Technol., 2024)

FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. - Saif Khalid; Hatem A. Rashwan; Saddam Abdulwahab; Mohamed Abdel-Nasser; Facundo Manuel Quiroga; Domenec Puig (Expert Syst. Appl., 2024)

Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (Mach. Learn. Knowl. Extr., 2024)

Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. - Vivek Kumar Singh 008; Ehab Mahmoud Mohamed; Mohamed Abdel-Nasser (Neural Comput. Appl., 2024)

Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images. - Vivek Kumar Singh 008; Ehab Mahmoud Mohamed; Mohamed Abdel-Nasser (Neural Comput. Appl., 2024)

Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in Mammograms. - Mariam M. Hassan; Mohamed Ragab 002; Mohamed Abdel-Nasser; Domenec Puig (CBMS, 2025)

Correction to: Implicit regularization of a deep augmented neural network model for human motion prediction. - Gaurav Kumar Yadav; Mohamed Abdel-Nasser; Hatem A. Rashwan; Domenec Puig; Gora Chand Nandi (Appl. Intell., 2025)

A two-stage progressive deep segmentation network for tumor detection in breast ultrasound images. - Nadeem Zaidkilani; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (Multim. Tools Appl., 2025)