Hatem A. Rashwan

105 papers B 3Journal 57Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	M-TabNet: A Transformer-Based Multi-Encoder for Early Neonatal Birth Weight Prediction Using Multimodal Data. IEEE J. Biomed. Health Informatics Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Pere Cavallé-Busquets, Michelle M. Murphy, Domenec Puig
2025	J	`jnl`	Adaptive weighted multi-teacher distillation for efficient medical imaging segmentation with limited data. Knowl. Based Syst. Eddardaa Ben Loussaief, Hatem A. Rashwan, Mohammed Ayad, Adnan Khalid, Domemec Puig
2025	J	`jnl`	CoHAtNet: An integrated convolutional-transformer architecture with hybrid self-attention for end-to-end camera localization. Image Vis. Comput. Hussein Hasan, Miguel Ángel García, Hatem A. Rashwan, Domenec Puig
2025	J	`jnl`	Correction to: Implicit regularization of a deep augmented neural network model for human motion prediction. Appl. Intell. Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
2025	—	`conf`	Cross-Site Relational Distillation for Enhanced MRI Segmentation. VISIGRAPP (3): VISAPP Eddardaa Ben Loussaief, Mohammed Ayad, Hatem A. Rashwan, Domenec Puig
2025	J	`jnl`	DAR-MDE: Depth-Attention Refinement for Multi-Scale Monocular Depth Estimation. J. Sens. Actuator Networks Saddam Abdulwahab, Hatem A. Rashwan, Moumen T. El-Melegy, Domenec Puig
2025	J	`jnl`	Efficient crack segmentation with multi-decoder networks and enhanced feature fusion. Eng. Appl. Artif. Intell. Ammar M. Okran, Hatem A. Rashwan, Adel Saleh, Domenec Puig
2025	J	`jnl`	Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors. J. Biomed. Informatics Muhammad Mursil, Hatem A. Rashwan, Adnan Khalid, Pere Cavallé-Busquets, Luis Santos-Calderon, Michelle M. Murphy, Domenec Puig
2025	—	`conf`	Learning-Based Reconstruction of Under-Sampled MRI Data Using End-to-End Deep Learning in Comparison to CS. VISIGRAPP (3): VISAPP Adnan Khalid, Husnain Shahid, Hatem A. Rashwan, Domenec Puig
2025	J	`jnl`	M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data. CoRR Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Pere Cavallé-Busquets, Michelle M. Murphy, Domenec Puig
2025	—	`conf`	Towards Breast Cancer Recurrence Prediction Using Transformer-Based Learning from Global-Local Radiomics and Clinical Data. Deep-Breath@MICCAI Adnan Khalid, Muhammad Mursil, Fabrice Mériaudeau, Ibrahima Faye, Alain Lalande, Domenec Puig, Hatem A. Rashwan
2025	—	`conf`	Towards Breast Tumor Aggressiveness Classification in Digital Mammograms Using Boundary-Aware Segmentation and Feature Analysis. MIUA (2) Adnan Khalid, Muhammad Mursil, Ammar M. Okran, Josep Guma Padro, Carlos López Pablo, Domenec Puig, Hatem A. Rashwan
2025	—	`conf`	Transformer-Based Bi-encoder for Early Neonatal Birth Weight Prediction Using Maternal Nutritional and Health Insights. AIME (2) Muhammad Mursil, Hatem A. Rashwan, Adnan Khalid, Luis Santos-Calderon, Pere Cavallé-Busquets, Michelle M. Murphy, Domenec Puig
2024	J	`jnl`	Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings. CoRR Eddardaa Ben Loussaief, Mohammed Ayad, Domenec Puig, Hatem A. Rashwan
2024	—	`conf`	Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis. OMIA@MICCAI Saif Khalid Musluh, Ammar M. Okran, Saddam Abdulwahab, Domenec Puig, Hatem A. Rashwan
2024	—	`conf`	Deep Self-supervised Learning for Ultra-widefield Fundus Image Quality Assessment. UWF4DR@MICCAI Ammar M. Okran, Saif Khalid Musluh, Saddam Abdulwahab, Domenec Puig, Hatem A. Rashwan
2024	—	`conf`	Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention. CCIA Ammar M. Okran, Hatem A. Rashwan, Domenec Puig
2024	J	`jnl`	FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. Expert Syst. Appl. Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig
2024	J	`jnl`	FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning. CoRR Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig
2024	—	`conf`	Impact of Maternal Nutrition on Neonatal Birthweight: A Machine Learning Study. CCIA Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Michelle M. Murphy, Domenec Puig
2024	J	`jnl`	Maternal Nutritional Factors Enhance Birthweight Prediction: A Super Learner Ensemble Approach. Inf. Muhammad Mursil, Hatem A. Rashwan, Pere Cavallé-Busquets, Luis Santos-Calderon, Michelle M. Murphy, Domenec Puig
2024	—	`conf`	Optimising Region of Interest Registration for Multiple-Tissue Whole Slide Images. WBIR 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, Hatem A. Rashwan, Esther Sauras Colón, Mikel Relloso Ortiz de Uriarte, Laia Reverté Calvet, Carlos López Pablo
2024	—	`conf`	Reliable DL-Based Referable Diabetic Retinopathy and Diabetic Macular Edema Detection Using Ultra-widefield Fundus Images. UWF4DR@MICCAI Saif Khalid Musluh, Ammar M. Okran, Saddam Abdulwahab, Hatem A. Rashwan, Domenec Puig
2024	—	`conf`	SynthRetina: Revolutionizing Fundus Image Analysis Through Synthetic Data Enhancement. CCIA Najwa Sharaf, Hatem A. Rashwan, Saddam Abdulwahab, Domenec Puig
2024	J	`jnl`	VISTA: vision improvement via split and reconstruct deep neural network for fundus image quality assessment. Neural Comput. Appl. Saif Khalid, Saddam Abdulwahab, Oscar Agustín Stanchi, Facundo Manuel Quiroga, Franco Ronchetti, Domenec Puig, Hatem A. Rashwan
2024	—	`conf`	Weakly Supervised Localization of Mammograms for Dense Breast Tissues. CCIA Ammar M. Okran, Shaima Algabli, Hatem A. Rashwan, Domenec Puig
2023	J	`jnl`	Deep Monocular Depth Estimation Based on Content and Contextual Features. Sensors Saddam Abdulwahab, Hatem A. Rashwan, Najwa Sharaf, Saif Khalid, Domenec Puig
2023	J	`jnl`	GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network. Neurocomputing Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, M. Salman Asif, Domenec Puig
2023	J	`jnl`	Implicit regularization of a deep augmented neural network model for human motion prediction. Appl. Intell. Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
2023	J	`jnl`	Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models. CoRR Eddardaa Ben Loussaief, Hatem A. Rashwan, Mohammed Ayad, Mohammed Zakaria Hassan, Domenec Puig
2023	—	`conf`	Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation. CCIA Ammar M. Okran, Adel Saleh, Domenec Puig, Hatem A. Rashwan
2023	J	`jnl`	T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks. IEEE Access Daniel Padilla Carrasco, Hatem A. Rashwan, Miguel Ángel García, Domenec Puig
2022	—	`conf`	A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. CCIA Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
2022	J	`jnl`	An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints. Entropy Joao Paulo Schwarz Schuler, Santiago Romani Also, Domenec Puig, Hatem A. Rashwan, Mohamed Abdel-Nasser
2022	B	`conf`	Effective Deep Learning-Based Ensemble Model for Road Crack Detection. IEEE Big Data Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
2022	J	`jnl`	Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots. Neural Comput. Appl. Aditya Singh, Raghav Narula, Hatem A. Rashwan, Mohamed Abdel-Nasser, Domenec Puig, Gora Chand Nandi
2022	J	`jnl`	Monocular Depth Estimation Using Deep Learning: A Review. Sensors Armin Masoumian, Hatem A. Rashwan, Julián Cristiano, M. Salman Asif, Domenec Puig
2022	J	`jnl`	Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting. Neural Comput. Appl. Saddam Abdulwahab, Hatem A. Rashwan, Miguel Ángel García, Armin Masoumian, Domenec Puig
2022	—	`conf`	Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. CCIA Gaurav Kumar Yadav, Benigno Moreno Vidales, Sara Dueñas, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
2021	J	`jnl`	AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation. CoRR Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Domenec Puig, Hatem A. Rashwan
2021	—	`conf`	Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models. CCIA Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan
2021	J	`jnl`	Absolute distance prediction based on deep learning object detection and monocular depth estimation models. CoRR Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan
2021	J	`jnl`	Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. CoRR Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls
2021	—	`conf`	Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network. CCIA Saif Khalid, Saddam Abdulwahab, Hatem A. Rashwan, Julián Cristiano, Mohamed Abdel-Nasser, Domenec Puig
2021	J	`jnl`	GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network. CoRR Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, Domenec Puig
2021	—	`conf`	Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA Joao Paulo Schwarz Schuler, Santiago Romaní, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
2021	—	`conf`	On Determining Suitable Embedded Devices for Deep Learning Models. CCIA Daniel Padilla, Hatem A. Rashwan, Domenec Puig
2021	—	`conf`	Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network. CCIA Saddam Abdulwahab, Hatem A. Rashwan, Armin Masoumian, Najwa Sharaf, Domenec Puig
2021	—	`conf`	Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA Joao Paulo Schwarz Schuler, Santiago Romaní, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
2021	J	`jnl`	SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 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
2021	J	`jnl`	Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. CoRR Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls
2021	—	`conf`	WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation. CCIA Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
2020	J	`jnl`	Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks. Multim. Tools Appl. Hatem A. Rashwan, Miguel Ángel García, Saddam Abdulwahab, Domenec Puig
2020	J	`jnl`	Adversarial Learning for Depth and Viewpoint Estimation From a Single Image. IEEE Trans. Circuits Syst. Video Technol. Saddam Abdulwahab, Hatem A. Rashwan, Miguel Ángel García, Mohammed Jabreel, Sylvie Chambon, Domenec Puig
2020	J	`jnl`	Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Expert Syst. Appl. Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
2020	J	`jnl`	Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romaní, Domenec Puig
2020	—	`conf`	Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. ICMRE Armin Masoumian, Mohammad Chehreghani Montazer, Domenec Puig-Valls, Pezhman Kazemi, Hatem A. Rashwan
2020	—	`conf`	Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. ICMRE Armin Masoumian, Mohammad Chehreghani Montazer, Domenec Puig-Valls, Pezhman Kazemi, Hatem A. Rashwan
2019	J	`jnl`	Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. CoRR Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig
2019	J	`jnl`	An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romaní, Domenec Puig
2019	—	`conf`	Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM. VISIGRAPP (5: VISAPP) Saddam Abdulwahab, Hatem A. Rashwan, Julián Cristiano, Sylvie Chambon, Domenec Puig
2019	J	`jnl`	FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní, Domenec Puig
2019	—	`conf`	FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. VISIGRAPP (5: VISAPP) Adel Saleh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Saddam Abdulwahab, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig
2019	—	`conf`	Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig
2019	J	`jnl`	Gait representation and recognition from temporal co-occurrence of flow fields. Mach. Vis. Appl. Hatem A. Rashwan, Miguel Ángel García, Sylvie Chambon, Domenec Puig
2019	—	`conf`	MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network. CCIA Saddam Abdulwahab, Hatem A. Rashwan, Najwa Sharaf, Domenec Puig
2019	—	`conf`	Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA 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
2019	J	`jnl`	MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR 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
2019	J	`jnl`	Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
2019	J	`jnl`	Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object. IEEE Trans. Image Process. Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Géraldine Morin, Vincent Charvillat
2018	J	`jnl`	Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation. IET Comput. Vis. Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan, Christian Lubat, Sébastien Barsotti
2018	B	`conf`	BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks. ICIP Mohamed Chafik Bakkay, Hatem A. Rashwan, Houssam Salmane, Louahdi Khoudour, D. Puigtt, Yassine Ruichek
2018	J	`jnl`	Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. CoRR Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
2018	—	`conf`	Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. MICCAI (2) Vivek Kumar Singh, 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
2018	J	`jnl`	Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. CoRR Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents-Barrena, Adel Saleh, Meritxell Arenas, Domenec Puig
2018	—	`conf`	CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. CCIA Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Vivek Kumar Singh, Antonio Moreno, Petia Radeva, Domenec Puig
2018	J	`jnl`	CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. CoRR Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Petia Radeva, Domenec Puig
2018	J	`jnl`	Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance. Int. J. Inf. Sec. Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, Agusti Solanas
2018	—	`conf`	MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams. ECCV Workshops (5) Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
2018	J	`jnl`	MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. CoRR Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
2018	—	`conf`	On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks. CCIA Nasibeh Saffari, Hatem A. Rashwan, Blas Herrera, Santiago Romaní, Meritxell Arenas, Domenec Puig
2018	J	`jnl`	REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks. CoRR Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh, Farhan Akram, Md. Mostafa Kamal Sarker, Nidhi Pandey, Saddam Abdulwahab
2018	—	`conf`	Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Jordina Torrents-Barrena, Santiago Romaní, Domenec Puig
2018	J	`jnl`	Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romaní, Domenec Puig
2018	—	`conf`	SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig
2018	J	`jnl`	SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig
2018	—	`conf`	Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments. WAF Julián Cristiano, Hatem A. Rashwan, Domenec Puig
2018	J	`jnl`	Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images. CoRR Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan, Christian Lubat, Sébastien Barsotti
2018	J	`jnl`	Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object. CoRR Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Géraldine Morin, Vincent Charvillat
2017	J	`jnl`	Analyzing the evolution of breast tumors through flow fields and strain tensors. Pattern Recognit. Lett. Mohamed Abdel-Nasser, Antonio Moreno, Hatem A. Rashwan, Domenec Puig
2017	—	`conf`	Towards Recognizing of 3D Models Using A Single Image. 3DOR@Eurographics Hatem A. Rashwan, Sylvie Chambon, Géraldine Morin, Pierre Gurdjos, Vincent Charvillat
2016	J	`jnl`	Defeating face de-identification methods based on DCT-block scrambling. Mach. Vis. Appl. Hatem A. Rashwan, Miguel Ángel García, Antoni Martínez-Ballesté, Domenec Puig
2016	B	`conf`	Towards multi-scale feature detection repeatable over intensity and depth images. ICIP Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Géraldine Morin, Vincent Charvillat
2016	J	`jnl`	Understanding trust in privacy-aware video surveillance systems. Int. J. Inf. Sec. Hatem A. Rashwan, Agusti Solanas, Domenec Puig, Antoni Martínez-Ballesté
2015	J	`jnl`	Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern. Expert Syst. Appl. Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Antonio Moreno
2015	—	`ch.`	Trustworthy Video Surveillance: An Approach Based on Guaranteeing Data Privacy. Advanced Research in Data Privacy Antoni Martínez-Ballesté, Agusti Solanas, Hatem A. Rashwan
2014	J	`jnl`	Illumination-Robust Optical Flow Using a Local Directional Pattern. IEEE Trans. Circuits Syst. Video Technol. Mahmoud A. Mohamed, Hatem A. Rashwan, Bärbel Mertsching, Miguel Ángel García, Domenec Puig
2014	—	`conf`	Privacy in Pervasive Video Surveillance - Trust through Technology and Users Cooperation. PECCS Antoni Martínez-Ballesté, Agusti Solanas, Marc Vives, Hatem A. Rashwan
2013	—	`conf`	A trustworthy database for privacy-preserving video surveillance. EDBT/ICDT Workshops Antoni Martínez-Ballesté, Hatem A. Rashwan, Jordi Castellà-Roca, Domenec Puig
2013	—	`conf`	Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients. GCPR Hatem A. Rashwan, Mahmoud A. Mohamed, Miguel Ángel García, Bärbel Mertsching, Domenec Puig
2013	—	`conf`	On improving the robustness of variational optical flow against illumination changes. ARTEMIS@ACM Multimedia Mahmoud A. Mohamed, Hatem A. Rashwan, Bärbel Mertsching, Miguel Ángel García, Domenec Puig
2013	J	`jnl`	Variational Optical Flow Estimation Based on Stick Tensor Voting. IEEE Trans. Image Process. Hatem A. Rashwan, Miguel Ángel García, Domenec Puig
2012	J	`jnl`	Improving the robustness of variational optical flow through tensor voting. Comput. Vis. Image Underst. Hatem A. Rashwan, Domenec Puig, Miguel Ángel García
2012	—	`conf`	Towards a trustworthy privacy in pervasive video surveillance systems. PerCom Workshops Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, Antonia Paniza Fullana
2011	—	`conf`	On improving the robustness of differential optical flow. ICCV Workshops Hatem A. Rashwan, Domenec Puig, Miguel Ángel García