On improving the robustness of differential optical flow. - Hatem A. Rashwan; Domenec Puig; Miguel Ángel García (ICCV Workshops, 2011)

Towards a trustworthy privacy in pervasive video surveillance systems. - Antoni Martínez-Ballesté; Hatem A. Rashwan; Domenec Puig; Antonia Paniza Fullana (PerCom Workshops, 2012)

Improving the robustness of variational optical flow through tensor voting. - Hatem A. Rashwan; Domenec Puig; Miguel Ángel García (Comput. Vis. Image Underst., 2012)

Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients. - Hatem A. Rashwan; Mahmoud A. Mohamed; Miguel Ángel García; Bärbel Mertsching; Domenec Puig (GCPR, 2013)

A trustworthy database for privacy-preserving video surveillance. - Antoni Martínez-Ballesté; Hatem A. Rashwan; Jordi Castellà-Roca; Domenec Puig (EDBT/ICDT Workshops, 2013)

On improving the robustness of variational optical flow against illumination changes. - Mahmoud A. Mohamed; Hatem A. Rashwan; Bärbel Mertsching; Miguel Ángel García; Domenec Puig (ARTEMIS@ACM Multimedia, 2013)

Variational Optical Flow Estimation Based on Stick Tensor Voting. - Hatem A. Rashwan; Miguel Ángel García; Domenec Puig (IEEE Trans. Image Process., 2013)

Privacy in Pervasive Video Surveillance - Trust through Technology and Users Cooperation. - Antoni Martínez-Ballesté; Agusti Solanas; Marc Vives; Hatem A. Rashwan (PECCS, 2014)

Illumination-Robust Optical Flow Using a Local Directional Pattern. - Mahmoud A. Mohamed; Hatem A. Rashwan; Bärbel Mertsching; Miguel Ángel García; Domenec Puig (IEEE Trans. Circuits Syst. Video Technol., 2014)

Robust analysis and protection of dynamic scenes for privacy-aware video surveillance. - Hatem Abd Ellatif FatahAllah Ibrahim Mahmoud Rashwan (2014)

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)

Trustworthy Video Surveillance: An Approach Based on Guaranteeing Data Privacy. - Antoni Martínez-Ballesté; Agusti Solanas; Hatem A. Rashwan (Advanced Research in Data Privacy, 2015)

Towards multi-scale feature detection repeatable over intensity and depth images. - Hatem A. Rashwan; Sylvie Chambon; Pierre Gurdjos; Géraldine Morin; Vincent Charvillat (ICIP, 2016)

Understanding trust in privacy-aware video surveillance systems. - Hatem A. Rashwan; Agusti Solanas; Domenec Puig; Antoni Martínez-Ballesté (Int. J. Inf. Sec., 2016)

Defeating face de-identification methods based on DCT-block scrambling. - Hatem A. Rashwan; Miguel Ángel García; Antoni Martínez-Ballesté; Domenec Puig (Mach. Vis. Appl., 2016)

Towards Recognizing of 3D Models Using A Single Image. - Hatem A. Rashwan; Sylvie Chambon; Géraldine Morin; Pierre Gurdjos; Vincent Charvillat (3DOR@Eurographics, 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)

On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks. - Nasibeh Saffari; Hatem A. Rashwan; Blas Herrera; Santiago Romaní; Meritxell Arenas; Domenec Puig (CCIA, 2018)

CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. - Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Vivek Kumar Singh 008; Antonio Moreno; Petia Radeva; Domenec Puig (CCIA, 2018)

Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Jordina Torrents-Barrena; Santiago Romaní; Domenec Puig (CCIA, 2018)

MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Estefanía Talavera; Syeda Furruka Banu; Petia Radeva; Domenec Puig (ECCV Workshops (5), 2018)

BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks. - Mohamed Chafik Bakkay; Hatem A. Rashwan; Houssam Salmane; Louahdi Khoudour; D. Puigtt; Yassine Ruichek (ICIP, 2018)

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Syeda Furruka Banu; Adel Saleh; Vivek Kumar Singh 008; Forhad U. H. Chowdhury; Saddam Abdulwahab; Santiago Romaní; Petia Radeva; Domenec Puig (MICCAI (2), 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; Santiago Romaní; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Saddam Abdulwahab; Jordina Torrents-Barrena; Adel Saleh; Miguel Arquez; Meritxell Arenas; Domenec Puig (MICCAI (2), 2018)

Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments. - Julián Cristiano; Hatem A. Rashwan; Domenec Puig (WAF, 2018)

Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. - Vivek Kumar Singh 008; Santiago Romaní; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Jordina Torrents-Barrena; Adel Saleh; Meritxell Arenas; Domenec Puig (CoRR, 2018)

CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. - Md. Mostafa Kamal Sarker; Mohammed Jabreel; Hatem A. Rashwan; Syeda Furruka Banu; Petia Radeva; Domenec Puig (CoRR, 2018)

Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Saddam Abdulwahab; Najlaa Maaroof; Santiago Romaní; Domenec Puig (CoRR, 2018)

REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks. - Vivek Kumar Singh 008; Hatem A. Rashwan; Adel Saleh; Farhan Akram; Md. Mostafa Kamal Sarker; Nidhi Pandey; Saddam Abdulwahab (CoRR, 2018)

Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (CoRR, 2018)

Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images. - Mohamed Chafik Bakkay; Sylvie Chambon; Hatem A. Rashwan; Christian Lubat; Sébastien Barsotti (CoRR, 2018)

Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation. - Mohamed Chafik Bakkay; Sylvie Chambon; Hatem A. Rashwan; Christian Lubat; Sébastien Barsotti (IET Comput. Vis., 2018)

Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance. - Antoni Martínez-Ballesté; Hatem A. Rashwan; Domenec Puig; Agusti Solanas (Int. J. Inf. Sec., 2018)

MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network. - Saddam Abdulwahab; Hatem A. Rashwan; Najwa Sharaf; 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)

Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM. - Saddam Abdulwahab; Hatem A. Rashwan; Julián Cristiano; Sylvie Chambon; Domenec Puig (VISIGRAPP (5: VISAPP), 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)

Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. - Md. Mostafa Kamal Sarker; Hatem A. Rashwan; Farhan Akram; Estefanía Talavera; Syeda Furruka Banu; Petia Radeva; 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)

Gait representation and recognition from temporal co-occurrence of flow fields. - Hatem A. Rashwan; Miguel Ángel García; Sylvie Chambon; Domenec Puig (Mach. Vis. Appl., 2019)

Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object. - Hatem A. Rashwan; Sylvie Chambon; Pierre Gurdjos; Géraldine Morin; Vincent Charvillat (IEEE Trans. Image Process., 2019)

Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. - Armin Masoumian; Mohammad Chehreghani Montazer; Domenec Puig-Valls; Pezhman Kazemi; Hatem A. Rashwan (ICMRE, 2020)

Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. - Armin Masoumian; Mohammad Chehreghani Montazer; Domenec Puig-Valls; Pezhman Kazemi; Hatem A. Rashwan (ICMRE, 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)

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. - Vivek Kumar Singh 008; Hatem A. Rashwan; Santiago Romaní; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig; Jordina Torrents-Barrena (Expert Syst. Appl., 2020)

Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks. - Hatem A. Rashwan; Miguel Ángel García; Saddam Abdulwahab; Domenec Puig (Multim. Tools Appl., 2020)

Adversarial Learning for Depth and Viewpoint Estimation From a Single Image. - Saddam Abdulwahab; Hatem A. Rashwan; Miguel Ángel García; Mohammed Jabreel; Sylvie Chambon; Domenec Puig (IEEE Trans. Circuits Syst. Video Technol., 2020)

Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network. - Saddam Abdulwahab; Hatem A. Rashwan; Armin Masoumian; Najwa Sharaf; Domenec Puig (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)

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)

Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models. - Armin Masoumian; David G. F. Marei; Saddam Abdulwahab; Julián Cristiano; Domenec Puig; Hatem A. Rashwan (CCIA, 2021)

On Determining Suitable Embedded Devices for Deep Learning Models. - Daniel Padilla; Hatem A. Rashwan; 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)

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)

GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network. - Armin Masoumian; Hatem A. Rashwan; Saddam Abdulwahab; Julián Cristiano; Domenec Puig (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)

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)

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)

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)

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)

Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting. - Saddam Abdulwahab; Hatem A. Rashwan; Miguel Ángel García; Armin Masoumian; Domenec Puig (Neural Comput. Appl., 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)

Monocular Depth Estimation Using Deep Learning: A Review. - Armin Masoumian; Hatem A. Rashwan; Julián Cristiano; M. Salman Asif; Domenec Puig (Sensors, 2022)

Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation. - Ammar M. Okran; Adel Saleh; Domenec Puig; Hatem A. Rashwan (CCIA, 2023)

T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks. - Daniel Padilla Carrasco; Hatem A. Rashwan; Miguel Ángel García; Domenec Puig (IEEE Access, 2023)

Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models. - Eddardaa Ben Loussaief; Hatem A. Rashwan; Mohammed Ayad; Mohammed Zakaria Hassan; Domenec Puig (CoRR, 2023)

GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network. - Armin Masoumian; Hatem A. Rashwan; Saddam Abdulwahab; Julián Cristiano; M. Salman Asif; Domenec Puig (Neurocomputing, 2023)

Deep Monocular Depth Estimation Based on Content and Contextual Features. - Saddam Abdulwahab; Hatem A. Rashwan; Najwa Sharaf; Saif Khalid; Domenec Puig (Sensors, 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)

Impact of Maternal Nutrition on Neonatal Birthweight: A Machine Learning Study. - Muhammad Mursil; Hatem A. Rashwan; Luis Santos-Calderon; Michelle M. Murphy; Domenec Puig (CCIA, 2024)

Weakly Supervised Localization of Mammograms for Dense Breast Tissues. - Ammar M. Okran; Shaima Algabli; Hatem A. Rashwan; Domenec Puig (CCIA, 2024)

Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention. - Ammar M. Okran; Hatem A. Rashwan; Domenec Puig (CCIA, 2024)

SynthRetina: Revolutionizing Fundus Image Analysis Through Synthetic Data Enhancement. - Najwa Sharaf; Hatem A. Rashwan; Saddam Abdulwahab; Domenec Puig (CCIA, 2024)

Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis. - Saif Khalid Musluh; Ammar M. Okran; Saddam Abdulwahab; Domenec Puig; Hatem A. Rashwan (OMIA@MICCAI, 2024)

Reliable DL-Based Referable Diabetic Retinopathy and Diabetic Macular Edema Detection Using Ultra-widefield Fundus Images. - Saif Khalid Musluh; Ammar M. Okran; Saddam Abdulwahab; Hatem A. Rashwan; Domenec Puig (UWF4DR@MICCAI, 2024)

Deep Self-supervised Learning for Ultra-widefield Fundus Image Quality Assessment. - Ammar M. Okran; Saif Khalid Musluh; Saddam Abdulwahab; Domenec Puig; Hatem A. Rashwan (UWF4DR@MICCAI, 2024)

Optimising Region of Interest Registration for Multiple-Tissue Whole Slide Images. - Alessio Fiorin; Laia Adalid Llansa; Elena Goyda; Vincenzo Della Mea; Anna Korzynska; Shrief Abdelazeez; Ramon Bosch Príncep; Alba Fischer Carles; Noèlia Gallardo Borràs; Marylène Lejeune; Daniel Mata Cano; Domenec Puig; et al. (WBIR, 2024)

Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings. - Eddardaa Ben Loussaief; Mohammed Ayad; Domenec Puig; Hatem A. Rashwan (CoRR, 2024)

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)

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)

VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment. - Saif Khalid; Saddam Abdulwahab; Oscar Agustín Stanchi; Facundo Manuel Quiroga; Franco Ronchetti; Domenec Puig; Hatem A. Rashwan (Neural Comput. Appl., 2024)

Transformer-Based Bi-encoder for Early Neonatal Birth Weight Prediction Using Maternal Nutritional and Health Insights. - Muhammad Mursil; Hatem A. Rashwan; Adnan Khalid; Luis Santos-Calderon; Pere Cavallé-Busquets; Michelle M. Murphy; Domenec Puig (AIME (2), 2025)

Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis. - Adnan Khalid; Muhammad Mursil; Ammar M. Okran; Josep Guma Padro; Carlos López Pablo; Domenec Puig; Hatem A. Rashwan (MIUA (2), 2025)

Learning-Based Reconstruction of Under-Sampled MRI Data Using End-to-End Deep Learning in Comparison to CS. - Adnan Khalid; Husnain Shahid; Hatem A. Rashwan; Domenec Puig (VISIGRAPP (3): VISAPP, 2025)

Cross-Site Relational Distillation for Enhanced MRI Segmentation. - Eddardaa Ben Loussaief; Mohammed Ayad; Hatem A. Rashwan; Domenec Puig (VISIGRAPP (3): VISAPP, 2025)

Efficient crack segmentation with multi-decoder networks and enhanced feature fusion. - Ammar M. Okran; Hatem A. Rashwan; Adel Saleh; Domenec Puig (Eng. Appl. Artif. Intell., 2025)

CoHAtNet: An integrated convolutional-transformer architecture with hybrid self-attention for end-to-end camera localization. - Hussein Hasan; Miguel Ángel García; Hatem A. Rashwan; Domenec Puig (Image Vis. Comput., 2025)

Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors. - Muhammad Mursil; Hatem A. Rashwan; Adnan Khalid; Pere Cavallé-Busquets; Luis Santos-Calderon; Michelle M. Murphy; Domenec Puig (J. Biomed. Informatics, 2025)

Adaptive weighted multi-teacher distillation for efficient medical imaging segmentation with limited data. - Eddardaa Ben Loussaief; Hatem A. Rashwan; Mohammed Ayad; Adnan Khalid; Domemec Puig (Knowl. Based Syst., 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)

M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data. - Muhammad Mursil; Hatem A. Rashwan; Luis Santos-Calderon; Pere Cavallé-Busquets; Michelle M. Murphy; Domenec Puig (CoRR, 2025)