| Accurate photovoltaic power forecasting models using deep LSTM-RNN M Abdel-Nasser, K Mahmoud Neural computing and applications 31, 2727-2740, 2019 | 786 | 2019 |
| Breast tumor classification in ultrasound images using texture analysis and super-resolution methods M Abdel-Nasser, J Melendez, A Moreno, OA Omer, D Puig Engineering Applications of Artificial Intelligence 59, 84-92, 2017 | 138 | 2017 |
| Reliable solar irradiance forecasting approach based on choquet integral and deep LSTMs M Abdel-Nasser, K Mahmoud, M Lehtonen IEEE Transactions on Industrial Informatics 17 (3), 1873-1881, 2020 | 112 | 2020 |
| Fully automated breast density segmentation and classification using deep learning N Saffari, HA Rashwan, M Abdel-Nasser, V Kumar Singh, M Arenas, ... Diagnostics 10 (11), 988, 2020 | 91 | 2020 |
| Breast cancer detection in thermal infrared images using representation learning and texture analysis methods M Abdel-Nasser, A Moreno, D Puig Electronics 8 (1), 100, 2019 | 78 | 2019 |
| Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern M Abdel-Nasser, HA Rashwan, D Puig, A Moreno Expert Systems with Applications 42 (24), 9499-9511, 2015 | 77 | 2015 |
| SLSNet: Skin lesion segmentation using a lightweight generative adversarial network MMK Sarker, HA Rashwan, F Akram, VK Singh, SF Banu, ... Expert Systems with Applications 183, 115433, 2021 | 72* | 2021 |
| Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework VK Singh, M Abdel-Nasser, F Akram, HA Rashwan, MMK Sarker, ... Expert Systems with Applications 162, 113870, 2020 | 72 | 2020 |
| FCA-Net: Adversarial learning for skin lesion segmentation based on multi-scale features and factorized channel attention VK Singh, M Abdel-Nasser, HA Rashwan, F Akram, N Pandey, A Lalande, ... Ieee Access 7, 130552-130565, 2019 | 67 | 2019 |
| Predicting breast tumor malignancy using deep ConvNeXt radiomics and quality-based score pooling in ultrasound sequences MA Hassanien, VK Singh, D Puig, M Abdel-Nasser Diagnostics 12 (5), 1053, 2022 | 57 | 2022 |
| Improved salp–swarm optimizer and accurate forecasting model for dynamic economic dispatch in sustainable power systems K Mahmoud, M Abdel-Nasser, E Mustafa, Z M. Ali Sustainability 12 (2), 576, 2020 | 53 | 2020 |
| Lunginfseg: Segmenting covid-19 infected regions in lung ct images based on a receptive-field-aware deep learning framework V Kumar Singh, M Abdel-Nasser, N Pandey, D Puig Diagnostics 11 (2), 158, 2021 | 50 | 2021 |
| Fast yet accurate energy-loss-assessment approach for analyzing/sizing PV in distribution systems using machine learning K Mahmoud, M Abdel-Nasser IEEE Transactions on Sustainable Energy 10 (3), 1025-1033, 2018 | 48 | 2018 |
| A novel smart grid state estimation method based on neural networks M Abdel-Nasser, K Mahmoud, H Kashef IJIMAI 5 (1), 92-100, 2018 | 44 | 2018 |
| Detection of inter turn short circuit faults in induction motor using artificial neural network M Mohamed, E Mohamed, AA Mohamed, M Abdel-Nasser, MM Hassan 2020 26th Conference of Open Innovations Association (FRUCT), 297-304, 2020 | 42 | 2020 |
| Optimal voltage control in distribution systems with intermittent PV using multiobjective Grey-Wolf-Lévy optimizer K Mahmoud, MM Hussein, M Abdel-Nasser, M Lehtonen IEEE Systems Journal 14 (1), 760-770, 2019 | 40 | 2019 |
| An efficient solution for breast tumor segmentation and classification in ultrasound images using deep adversarial learning VK Singh, HA Rashwan, M Abdel-Nasser, MMK Sarker, F Akram, ... arXiv preprint arXiv:1907.00887, 2019 | 40 | 2019 |
| ANN-based STATCOM tuning for performance enhancement of combined wind farms A Rashad, S Kamel, F Jurado, M Abdel-Nasser, K Mahmoud Electric Power Components and Systems 47 (1-2), 10-26, 2019 | 37 | 2019 |
| Grouped pointwise convolutions reduce parameters in convolutional neural networks JPS Schuler, S Romani, M Abdel-Nasser, H Rashwan, D Puig Mendel 28 (1), 23-31, 2022 | 33 | 2022 |
| Temporal mammogram image registration using optimized curvilinear coordinates M Abdel-Nasser, A Moreno, D Puig Computer methods and programs in biomedicine 127, 1-14, 2016 | 33 | 2016 |
Domenec PuigFull Professor, University Rovira i VirgiliVerified email at urv.cat
