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Mohamed Abdel-Nasser
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2020 – today
- 2024
- [j33]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): 121644 (2024) - [j32]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) - [j31]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): 619-641 (2024) - [j30]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): 5889-5905 (2024) - [j29]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): 5907 (2024) - 2023
- [j28]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: 15816-15830 (2023) - [j27]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): 18027-18040 (2023) - [j26]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): 220 (2023) - [j25]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): 2340001:1-2340001:28 (2023) - 2022
- [j24]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): 1264 (2022) - [j23]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): 1708 (2022) - [j22]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): 15617-15631 (2022) - [c37]Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Effective Deep Learning-Based Ensemble Model for Road Crack Detection. IEEE Big Data 2022: 6407-6415 - [c36]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: 139-142 - [c35]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: 225-228 - [c34]Basma Ahmed, Osama Ahmed Omer, Amal Rashed, Domenec Puig, Mohamed Abdel-Nasser:
Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. CCIA 2022: 243-248 - [c33]Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. CCIA 2022: 269-278 - [c32]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: 289-297 - [c31]Mohamed A. Hassanien, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser:
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. CCIA 2022: 298-307 - [c30]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: 308-317 - [c29]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: 153-161 - 2021
- [j21]Mohamed Abdel-Nasser
, Karar Mahmoud
, Matti Lehtonen
:
HIFA: Promising Heterogeneous Solar Irradiance Forecasting Approach Based on Kernel Mapping. IEEE Access 9: 144906-144915 (2021) - [j20]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: 115433 (2021) - [j19]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): 35-45 (2021) - [j18]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): 5321-5331 (2021) - [j17]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): 653-661 (2021) - [j16]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): 1873-1881 (2021) - [c28]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: 295-304 - [c27]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: 305-314 - [c26]Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. CCIA 2021: 315-324 - [c25]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: 349-356 - [c24]Basma Ahmed, Mohamed Abdel-Nasser, Osama Ahmed Omer, Amal Rashed, Domenec Puig:
No-Reference Digital Image Quality Assessment Based on Structure Similarity. CCIA 2021: 367-374 - [c23]Joao Paulo Schwarz Schuler, Santiago Romaní
, Mohamed Abdel-Nasser, Hatem A. Rashwan
, Domenec Puig:
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA 2021: 375-382 - [c22]Joao Paulo Schwarz Schuler, Santiago Romaní
, Mohamed Abdel-Nasser, Hatem A. Rashwan
, Domenec Puig:
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA 2021: 383-391 - [c21]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: 402-411 - [c20]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: 58-67 - [c19]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: 335-343 - [i4]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 abs/2110.05144 (2021) - 2020
- [j15]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: 182180-182192 (2020) - [j14]Vivek Kumar Singh, Mohamed Abdel-Nasser
, Farhan Akram
, Hatem A. Rashwan
, Md. Mostafa Kamal Sarker
, Nidhi Pandey, Santiago Romaní
, Domenec Puig:
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162: 113870 (2020) - [j13]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): 157-163 (2020) - [j12]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): 2705-2724 (2020) - [j11]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): 760-770 (2020) - [c18]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: 3-17 - [c17]Menshawy Mohamed
, Essam Mohamed, Al-Attar Ali Mohamed
, Mohamed Abdel-Nasser
, Mohamed A. Moustafa Hassan
:
Detection of Inter Turn Short Circuit Faults in Induction Motor using Artificial Neural Network. FRUCT 2020: 297-304 - [c16]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: 466-473 - [c15]Mohamed Abdel-Nasser, Francesc Solsona, Domenec Puig:
Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer. VISIGRAPP (5: VISAPP) 2020: 829-836
2010 – 2019
- 2019
- [j10]Vivek Kumar Singh
, Mohamed Abdel-Nasser
, Hatem A. Rashwan
, Farhan Akram
, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní
, Domenec Puig:
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [j9]Mohamed Abdel-Nasser
, Karar Mahmoud
:
Accurate photovoltaic power forecasting models using deep LSTM-RNN. Neural Comput. Appl. 31(7): 2727-2740 (2019) - [c14]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: 145-151 - [c13]Mohamed Abdel-Nasser
, Adel Saleh, Domenec Puig:
Automated System for Breast Cancer Detection from Electronic Health Records. CCIA 2019: 302-305 - [c12]Vivek Kumar Singh, Mohamed Abdel-Nasser
, Hatem A. Rashwan
, Farhan Akram
, Rami Haffar
, Nidhi Pandey, Md. Mostafa Kamal Sarker
, Sebastian Kohan, Josep Guma, Santiago Romaní
, Domenec Puig:
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA 2019: 365-372 - [c11]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: 77-84 - [i3]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 abs/1907.00856 (2019) - [i2]Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker
, Farhan Akram, Nidhi Pandey, Santiago Romaní, Domenec Puig:
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR abs/1907.00887 (2019) - [i1]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 abs/1907.02742 (2019) - 2018
- [j8]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): 92-100 (2018) - [j7]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: 4-12 (2018) - 2017
- [j6]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: 84-92 (2017) - [j5]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: 162-171 (2017) - [c10]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: 16-25 - [c9]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: 106-115 - 2016
- [b1]Mohamed Abdel-Nasser:
Development of advanced computer methods for breast cancer image interpretation through texture and temporal evolution analysis. University of Rovira i Virgili, Spain, 2016 - [j4]Mohamed Abdel-Nasser
, Antonio Moreno
, Domenec Puig:
Temporal mammogram image registration using optimized curvilinear coordinates. Comput. Methods Programs Biomed. 127: 1-14 (2016) - [j3]Mohamed Abdel-Nasser
, Adel Saleh, Antonio Moreno
, Domenec Puig:
Automatic nipple detection in breast thermograms. Expert Syst. Appl. 64: 365-374 (2016) - [j2]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): 385-402 (2016) - [c8]Mohamed Abdel-Nasser
, Osama Ahmed Omer:
Ultrasound Image Enhancement Using a Deep Learning Architecture. AISI 2016: 639-649 - [c7]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: 64-70 - [c6]Mohamed Abdel-Nasser
, Adel Saleh, Antonio Moreno
, Domenec Puig:
Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. CCIA 2016: 117-126 - [c5]Adel Saleh, Mohamed Abdel-Nasser
, Farhan Akram
, Miguel Ángel García, Domenec Puig:
Analysis of Temporal Coherence in Videos for Action Recognition. ICIAR 2016: 325-332 - [c4]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: 182-187 - 2015
- [j1]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): 9499-9511 (2015) - [c3]Mohamed Abdel-Nasser
, Antonio Moreno, Domenec Puig:
Analysis of the evolution of breast tumours using strain tensors. CCIA 2015: 237-246 - [c2]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: 387-394 - 2014
- [c1]Mohamed Abdel-Nasser
, Domenec Puig, Antonio Moreno
:
Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods. CCIA 2014: 159-168
Coauthor Index
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last updated on 2024-05-19 00:14 CEST by the dblp team
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