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ORCIDDomenec Puig
- > Home > Persons > Domenec Puig
Publications
- 2024
[j74]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)- [j73]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) - 2023
- [j70]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) - [j68]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) - 2022
- [j63]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) - [j62]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) - [j61]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) - [c124]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 - [c123]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 - [c121]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 - [c120]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 - [c119]Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. CCIA 2022: 269-278 - [c118]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 - [c117]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 - [c115]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
- [j57]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) - [j56]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) - [j54]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) - [c113]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 - [c112]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 - [c110]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 - [c109]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 - [c108]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 - [c107]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 - [c105]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 - [c104]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 - [c103]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 - [i20]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
- [j51]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) - [j50]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) - [c100]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 - [c99]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 - 2019
- [j44]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) - [c97]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 - [c96]Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Automated System for Breast Cancer Detection from Electronic Health Records. CCIA 2019: 302-305 - [c94]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 - [c91]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 - [i14]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) - [i13]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) - [i12]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
- [j39]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
- [j36]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) - [j33]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) - [c78]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 - [c76]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
- [j31]Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig:
Temporal mammogram image registration using optimized curvilinear coordinates. Comput. Methods Programs Biomed. 127: 1-14 (2016) - [j30]Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Domenec Puig:
Automatic nipple detection in breast thermograms. Expert Syst. Appl. 64: 365-374 (2016) - [j27]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) - [c65]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 - [c64]Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Domenec Puig:
Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. CCIA 2016: 117-126 - [c60]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 - [c57]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
- [j23]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) - [c53]Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig:
Analysis of the evolution of breast tumours using strain tensors. CCIA 2015: 237-246 - [c39]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
- [c36]Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno:
Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods. CCIA 2014: 159-168
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