Recognizing specific texture patterns by integration of multiple texture methods. - Miguel Ángel García; Domenec Puig (ICIP (1), 2002)

Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods. - Miguel Ángel García; Domenec Puig (ICPR (3), 2002)

Robust Aggregation of Expert Opinions Based on Conflict Analysis and Resolution. - Miguel Ángel García; Domenec Puig (CAEPIA, 2003)

Pixel Classification by Divergence-Based Integration of Multiple Texture Methods and Its Application to Fabric Defect Detection. - Miguel Ángel García; Domenec Puig (DAGM-Symposium, 2003)

Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows. - Domenec Puig; Miguel Ángel García (IbPRIA, 2003)

Pixel classification through divergence-based integration of texture methods with conflict resolution. - Domenec Puig; Miguel Ángel García (ICIP (2), 2003)

Automatic Selection of Multiple Texture Feature Extraction Methods for Texture Pattern Classification. - Domenec Puig; Miguel Ángel García (IbPRIA (2), 2005)

Automatic texture feature selection for image pixel classification. - Domenec Puig; Miguel Ángel García (Pattern Recognit., 2006)

Comparative Evaluation of Classical Methods, Optimized Gabor Filters and LBP for Texture Feature Selection and Classification. - Jaime Melendez; Domenec Puig; Miguel Ángel García (CAIP, 2007)

Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels. - Rodrigo Moreno; Miguel Ángel García; Domenec Puig (GbRPR, 2007)

Pixel-Based Texture Classification by Integration of Multiple Feature Extraction Methods Evaluated over Multisized Windows. - Domenec Puig; Miguel Ángel García (Int. J. Pattern Recognit. Artif. Intell., 2007)

Supervised texture classification by integration of multiple texture methods and evaluation windows. - Miguel Ángel García; Domenec Puig (Image Vis. Comput., 2007)

Efficient distance-based per-pixel texture classification with Gabor wavelet filters. - Jaime Melendez; Miguel Ángel García; Domenec Puig (Pattern Anal. Appl., 2008)

On Adapting the Tensor Voting Framework to Robust Color Image Denoising. - Rodrigo Moreno; Miguel Ángel García; Domenec Puig; Carme Julià (CAIP, 2009)

Gabor-based texture classification through efficient prototype selection via normalized cut. - Jaime Melendez; Domenec Puig; Miguel Ángel García (ICIP, 2009)

Robust color edge detection through tensor voting. - Rodrigo Moreno; Miguel Ángel García; Domenec Puig; Carme Julià (ICIP, 2009)

A new methodology for evaluation of edge detectors. - Rodrigo Moreno; Domenec Puig; Carme Julià; Miguel Ángel García (ICIP, 2009)

On Adapting Pixel-based Classification to Unsupervised Texture Segmentation. - Jaime Melendez; Domenec Puig; Miguel Ángel García (ICPR, 2010)

Robust Color Image Segmentation through Tensor Voting. - Rodrigo Moreno; Miguel Ángel García; Domenec Puig (ICPR, 2010)

Improving Shape-from-Focus by Compensating for Image Magnification Shift. - Said Pertuz; Domenec Puig; Miguel Ángel García (ICPR, 2010)

Multi-level pixel-based texture classification through efficient prototype selection via normalized cut. - Jaime Melendez; Domenec Puig; Miguel Ángel García (Pattern Recognit., 2010)

Application-independent feature selection for texture classification. - Domenec Puig; Miguel Ángel García; Jaime Melendez (Pattern Recognit., 2010)

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

Supervised texture segmentation through a multi-level pixel-based classifier based on specifically designed filters. - Jaime Melendez; Xavier Gironés; Domenec Puig (ICIP, 2011)

Automatic Estimation of the Number of Deformation Modes in Non-rigid SfM with Missing Data. - Carme Julià; Marco Paladini; Ravi Garg; Domenec Puig; Lourdes Agapito (SCIA, 2011)

Shape-based image segmentation through photometric stereo. - Carme Julià; Rodrigo Moreno; Domenec Puig; Miguel Ángel García (Comput. Vis. Image Underst., 2011)

Unsupervised texture-based image segmentation through pattern discovery. - Jaime Melendez; Miguel Ángel García; Domenec Puig; Maria Petrou (Comput. Vis. Image Underst., 2011)

Edge-preserving color image denoising through tensor voting. - Rodrigo Moreno; Miguel Ángel García; Domenec Puig; Carme Julià (Comput. Vis. Image Underst., 2011)

On Improving the Efficiency of Tensor Voting. - Rodrigo Moreno; Miguel Ángel García; Domenec Puig; Luis Pizarro; Bernhard Burgeth; Joachim Weickert (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

A new global optimization strategy for coordinated multi-robot exploration: Development and comparative evaluation. - Domenec Puig; Miguel Ángel García; Ling Wu (Robotics Auton. Syst., 2011)

Supervised Texture Classification Using Optimization Techniques. - Domenec Puig; Jaime Melendez; Agusti Solanas; Aïda Valls; Antonio Moreno (CCIA, 2012)

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)

Selection of Gabor Filters with Choquet Integral for Texture Analysis in Mammogram Images. - Aïda Valls; Cindy Medina; Antonio Moreno; Domenec Puig (CCIA, 2013)

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)

Privacy Preserving Collaborative Filtering with k-Anonymity through Microaggregation. - Fran Casino; Josep Domingo-Ferrer; Constantinos Patsakis; Domenec Puig; Agusti Solanas (ICEBE, 2013)

On Privacy Preserving Collaborative Filtering: Current Trends, Open Problems, and New Issues. - Fran Casino; Constantinos Patsakis; Domenec Puig; Agusti Solanas (ICEBE, 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)

Programming by Demonstration: A Taxonomy of Current Relevant Methods to Teach and Describe New Skills to Robots. - Jordi Bautista-Ballester; Jaume Vergés-Llahí; Domenec Puig (ROBOT (1), 2013)

Locomotion Control of a Biped Robot through a Feedback CPG Network. - Julián Cristiano; Domenec Puig; Miguel Ángel García (ROBOT (1), 2013)

A Personal Robotic Flying Machine with Vertical Takeoff Controlled by the Human Body Movements. - Vittorio Cipolla; Aldo Frediani; Rezia Molfino; Giovanni Gerardo Muscolo; Fabrizio Oliviero; Domenec Puig; Carmine Tommaso Recchiuto; Emanuele Rizzo; Agusti Solanas; Paul J. Stewart (TAROS, 2013)

An Embodied-Simplexity Approach to Design Humanoid Robots Bioinspired by Taekwondo Athletes. - Rezia Molfino; Giovanni Gerardo Muscolo; Domenec Puig; Carmine Tommaso Recchiuto; Agusti Solanas; A. Mark Williams (TAROS, 2013)

A Probabilistic Approach for Breast Boundary Extraction in Mammograms. - Hamed Habibi Aghdam; Domenec Puig; Agusti Solanas (Comput. Math. Methods Medicine, 2013)

Reliability measure for shape-from-focus. - Said Pertuz; Domenec Puig; Miguel Ángel García (Image Vis. Comput., 2013)

Analysis of focus measure operators for shape-from-focus. - Said Pertuz; Domenec Puig; Miguel Ángel García (Pattern Recognit., 2013)

Full Quadrant Approximations for the Arctangent Function [Tips and Tricks]. - Xavier Gironés; Carme Julià; Domenec Puig (IEEE Signal Process. Mag., 2013)

Generation of All-in-Focus Images by Noise-Robust Selective Fusion of Limited Depth-of-Field Images. - Said Pertuz; Domenec Puig; Miguel Ángel García; Andrea Fusiello (IEEE Trans. Image Process., 2013)

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

Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods. - Mohamed Abdel-Nasser; Domenec Puig; Antonio Moreno (CCIA, 2014)

Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms. - Jordina Torrents-Barrena; Domenec Puig; Maria Ferre; Jaime Melendez; Joan Martí; Aïda Valls (CCIA, 2014)

Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms. - Hamed Habibi Aghdam; Domenec Puig; Agusti Solanas (ICPR, 2014)

A Novel Mammography Image Representation Framework with Application to Image Registration. - Said Pertuz; Carme Julià; Domenec Puig (ICPR, 2014)

SIFT Texture Description for Understanding Breast Ultrasound Images. - Joan Massich; Fabrice Mériaudeau; Melcior Sentís; Sergi Ganau; Elsa Pérez; Domenec Puig; Robert Marti; Arnau Oliver; Joan Martí (Digital Mammography / IWDM, 2014)

Breast Masses Identification through Pixel-Based Texture Classification. - Jordina Torrents-Barrena; Domenec Puig; Maria Ferre; Jaime Melendez; Lorena Diez-Presa; Meritxell Arenas; Joan Martí (Digital Mammography / IWDM, 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)

A New One Class Classifier Based on Ensemble of Binary Classifiers. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (CAIP (2), 2015)

Analysis of the evolution of breast tumours using strain tensors. - Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (CCIA, 2015)

Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis. - Jordina Torrents-Barrena; Aïda Valls; Petia Radeva; Meritxell Arenas; Domenec Puig (CCIA, 2015)

Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks. - Jordina Torrents-Barrena; Jaime Melendez; Aïda Valls; Pere Romero; Domenec Puig (CCIA, 2015)

GAME-ABLING: Platform of Games for People with Cerebral Palsy. - Jaume Vergés-Llahí; Hamed Habibi 001; Fran Casino; Domenec Puig (EPS, 2015)

Toward an optimal convolutional neural network for traffic sign recognition. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (ICMV, 2015)

An unsupervised method for summarizing egocentric sport videos. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (ICMV, 2015)

Weighting video information into a multikernel SVM for human action recognition. - Jordi Bautista-Ballester; Jaume Vergés-Llahí; Domenec Puig (ICMV, 2015)

A deep convolutional neural network for recognizing foods. - Elnaz Jahani Heravi; Hamed Habibi Aghdam; Domenec Puig (ICMV, 2015)

Recognizing Traffic Signs Using a Practical Deep Neural Network. - Hamed H. Aghdam; Elnaz Jahani Heravi; Domenec Puig (ROBOT (1), 2015)

A Comparison of Robot Interaction with Tactile Gaming Console Stimulation in Clinical Applications. - Jainendra Shukla; Julián Cristiano; Laia Anguera; Jaume Vergés-Llahí; Domenec Puig (ROBOT (2), 2015)

A Case Study of Robot Interaction Among Individuals with Profound and Multiple Learning Disabilities. - Jainendra Shukla; Julián Cristiano; David Amela; Laia Anguera; Jaume Vergés-Llahí; Domenec Puig (ICSR, 2015)

Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines. - Mohamed Abdel-Nasser; Domenec Puig; Antonio Moreno; Adel Saleh; Joan Martí; Luis Martin; Anna Magarolas (VISAPP (1), 2015)

A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (VISAPP (2), 2015)

Traffic Sign Recognition Using Visual Attributes and Bayesian Network. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (VISIGRAPP (Selected Papers), 2015)

Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images. - Farhan Akram; Domenec Puig; Miguel Ángel García; Adel Saleh (VISAPP (1), 2015)

Using Action Objects Contextual Information for a Multichannel SVM in an Action Recognition Approach based on Bag of Visual Words. - Jordi Bautista-Ballester; Jaume Vergés-Llahí; Domenec Puig (VISAPP (2), 2015)

Analyzing Stability of Convolutional Neural Networks in the Frequency Domain. - Elnaz Jahani Heravi; Hamed H. Aghdam; Domenec Puig (CoRR, 2015)

Focus-aided scene segmentation. - Said Pertuz; Miguel Ángel García; Domenec Puig (Comput. Vis. Image Underst., 2015)

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)

Efficient Focus Sampling Through Depth-of-Field Calibration. - Said Pertuz; Miguel Ángel García; Domenec Puig (Int. J. Comput. Vis., 2015)

A k-anonymous approach to privacy preserving collaborative filtering. - Fran Casino; Josep Domingo-Ferrer; Constantinos Patsakis; Domenec Puig; Agusti Solanas (J. Comput. Syst. Sci., 2015)

Deterministic phase resetting with predefined response time for CPG networks based on Matsuoka's oscillator. - Julián Cristiano; Miguel Ángel García; Domenec Puig (Robotics Auton. Syst., 2015)

Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig (CCIA, 2016)

Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (CCIA, 2016)

Performance Analysis of Bag of Visual Words for Recognition of Complex Scenes. - Luis Hernando-Ríos G.; Miguel Angel García-García; Domenec Puig-Valls (CCIA, 2016)

Classification of Foods Using Spatial Pyramid Convolutional Neural Network. - Elnaz Jahani Heravi; Hamed H. Aghdam; Domenec Puig (CCIA, 2016)

The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition. - Adel Saleh; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (CCIA, 2016)

Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks. - Jordi de La Torre; Aïda Valls; Domenec Puig (CCIA, 2016)

Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability. - Hamed H. Aghdam; Elnaz Jahani Heravi; Domenec Puig (ECCV Workshops (1), 2016)

Training a Mentee Network by Transferring Knowledge from a Mentor Network. - Elnaz Jahani Heravi; Hamed Habibi Aghdam; Domenec Puig (ECCV Workshops (3), 2016)

Analysis of Temporal Coherence in Videos for Action Recognition. - Adel Saleh; Mohamed Abdel-Nasser; Farhan Akram; Miguel Ángel García; Domenec Puig (ICIAR, 2016)

Classification of foods by transferring knowledge from ImageNet dataset. - Elnaz Jahani Heravi; Hamed H. Aghdam; Domenec Puig (ICMV, 2016)

MuDERI: Multimodal Database for Emotion Recognition Among Intellectually Disabled Individuals. - Jainendra Shukla; Miguel Barreda-Ángeles; Joan Oliver; Domenec Puig (ICSR, 2016)

Analyzing the Stability of Convolutional Neural Networks against Image Degradation. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (VISIGRAPP (4: VISAPP), 2016)

Combining Contextual and Modal Action Information into a Weighted Multikernel SVM for Human Action Recognition. - Jordi Bautista-Ballester; Jaume Vergés-Llahí; Domenec Puig (VISIGRAPP (4: VISAPP), 2016)

Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. - Adel Saleh; Miguel Ángel García; Farhan Akram; Mohamed Abdel-Nasser; Domenec Puig (VISIGRAPP (3: VISAPP), 2016)

A novel wavelet seismic denoising method using type II fuzzy. - M. Beenamol; J. Mohanalin; S. Prabavathy; Jordina Torrents-Barrena; Domenec Puig (Appl. Soft Comput., 2016)

Temporal mammogram image registration using optimized curvilinear coordinates. - Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (Comput. Methods Programs Biomed., 2016)

Automatic nipple detection in breast thermograms. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Domenec Puig (Expert Syst. Appl., 2016)

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

Towards cost reduction of breast cancer diagnosis using mammography texture analysis. - Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (J. Exp. Theor. Artif. Intell., 2016)

Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images. - Jordina Torrents-Barrena; Domenec Puig; Jaime Melendez; Aïda Valls (J. Exp. Theor. Artif. Intell., 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)

A practical approach for detection and classification of traffic signs using Convolutional Neural Networks. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (Robotics Auton. Syst., 2016)

Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms. - Mohamed Abdel-Nasser; Adel Saleh; Antonio Moreno; Nasibeh Saffari Tabalvandani; Domenec Puig (CCIA, 2017)

Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity. - Farhan Akram; Miguel Ángel García; Vivek Kumar Singh 008; Nasibeh Saffari; Md. Mostafa Kamal Sarker; Domenec Puig (CCIA, 2017)

Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods. - Shimaa Ragab; Mohamed Abdel-Nasser; Antonio Moreno; Domenec Puig (CCIA, 2017)

FoodPlaces: Learning Deep Features for Food Related Scene Understanding. - Md. Mostafa Kamal Sarker; Maria Leyva; Adel Saleh; Vivek Kumar Singh 008; Farhan Akram; Petia Radeva; Domenec Puig (CCIA, 2017)

Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. - Vivek Kumar Singh 008; Santiago Romaní; Jordina Torrents-Barrena; Farhan Akram; Nidhi Pandey; Md. Mostafa Kamal Sarker; Adel Saleh; Meritxell Arenas; Miguel Arquez; Domenec Puig (CCIA, 2017)

Effectiveness of socially assistive robotics during cognitive stimulation interventions: Impact on caregivers. - Jainendra Shukla; Miguel Barreda-Ángeles; Joan Oliver; Domenec Puig (RO-MAN, 2017)

Automatic Characterization of Phase Resetting Controllers for Quick Balance Recovery During Biped Locomotion. - Julián Cristiano; Domenec Puig; Miguel Ángel García (ROBOT (2), 2017)

Increasing the Stability of CNNs using a Denoising Layer Regularized by Local Lipschitz Constant in Road Understanding Problems. - Hamed H. Aghdam; Elnaz Jahani Heravi; Domenec Puig (VISIGRAPP (5: VISAPP), 2017)

Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks. - Hamed H. Aghdam; Elnaz Jahani Heravi; Domenec Puig (VISIGRAPP (5: VISAPP), 2017)

Studying Stability of Different Convolutional Neural Networks Against Additive Noise. - Hamed H. Aghdam; Elnaz Jahani Heravi; Domenec Puig (VISIGRAPP (5: VISAPP), 2017)

Breast tumor classification in ultrasound images using texture analysis and super-resolution methods. - Mohamed Abdel-Nasser; Jaime Melendez; Antonio Moreno; Osama Ahmed Omer; Domenec Puig (Eng. Appl. Artif. Intell., 2017)

A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time. - Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig (Int. J. Comput. Vis., 2017)

A Closed-Form Focus Profile Model for Conventional Digital Cameras. - Said Pertuz; Miguel Ángel García; Domenec Puig; Henry Arguello (Int. J. Comput. Vis., 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)

Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images. - Farhan Akram; Vivek Kumar Singh 008; Md. Mostafa Kamal Sarker; Miguel Ángel García; Domenec Puig (CCIA, 2018)

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)

Comparative Study of the Behavior of Feature Reduction Methods in Person Re-identification Task. - Bahram Lavi Sefidgari; Mehdi Fatan; Domenec Puig-Valls (ICPRAM, 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)

Instant Measurement of the Difficulty Level of Exergames with Simple Uni-dimensional Level Goals for Cerebral Palsy Players. - Mohammad Rahmani; Blas Herrera; Oleh Kachmar; Julián Cristiano; Domenec Puig (JCSG, 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)

Efficient wavelet-based artifact removal for electrodermal activity in real-world applications. - Jainendra Shukla; Miguel Barreda-Ángeles; Joan Oliver; Domenec Puig (Biomed. Signal Process. Control., 2018)

A Deep Convolutional Neural Network for Lung Cancer Diagnostic. - Mehdi Fatan Serj; Bahram Lavi; Gabriela Hoff; Domenec Puig-Valls (CoRR, 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)

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)

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier. - Jordi de La Torre; Aïda Valls; Domenec Puig; Pere Romero-Aroca (CoRR, 2018)

Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. - Pablo Gómez Esteban; Daniel Hernández García; Hee Rin Lee; Pauline Chevalier; Paul Baxter 001; Cindy L. Bethel; Jainendra Shukla; Joan Oliver; Domenec Puig; Jason R. Wilson; Linda Tickle-Degnen; Madeleine Bartlett; et al. (CoRR, 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)

An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods. - Elnaz Jahani Heravi; Hamed Habibi Aghdam; Domenec Puig (Pattern Recognit. Lett., 2018)

Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition. - Adel Saleh; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (Pattern Recognit. Lett., 2018)

Weighted kappa loss function for multi-class classification of ordinal data in deep learning. - Jordi de La Torre; Domenec Puig; Aïda Valls (Pattern Recognit. Lett., 2018)

Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. - Iván Calvo; Saúl Calderón Ramírez; Jordina Torrents-Barrena; Erick Muñoz; Domenec Puig (CARLA, 2019)

Automated System for Breast Cancer Detection from Electronic Health Records. - Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2019)

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)

Measuring (in)variances in Convolutional Networks. - Facundo Manuel Quiroga; Jordina Torrents-Barrena; Laura Lanzarini; Domenec Puig (JCC&BD, 2019)

Stakeholders Acceptance and Expectations of Robot-Assisted Therapy for Children with Autism Spectrum Disorder. - Joan Oliver; Rebeca Oliván; Jainendra Shukla; Annabel Folch; Rafael Martínez-Leal; Mireia Castellá; Domenec Puig (RO-MAN, 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)

A Modified Self-training Method for Adapting Domains in the Task of Food Classification. - Elnaz Jahani Heravi; Hamed H. Aghdam; 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)

Robot Assisted Interventions for Individuals with Intellectual Disabilities: Impact on Users and Caregivers. - Jainendra Shukla; Julián Cristiano; Joan Oliver; Domenec Puig (Int. J. Soc. Robotics, 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 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)

Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging. - Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (VISIGRAPP (4: VISAPP), 2020)

Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer. - Mohamed Abdel-Nasser; Francesc Solsona; Domenec Puig (VISIGRAPP (5: VISAPP), 2020)

Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Margarita Gamarra; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (Comput. Biol. Medicine, 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)

Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics. - Karar Mahmoud; Mohamed Abdel-Nasser; Heba Kashef; Domenec Puig; Matti Lehtonen (Int. J. Interact. Multim. Artif. Intell., 2020)

A deep learning interpretable classifier for diabetic retinopathy disease grading. - Jordi de La Torre; Aïda Valls; Domenec Puig (Neurocomputing, 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)

Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. - Estefanía Talavera; Maria Leyva-Vallina; Md. Mostafa Kamal Sarker; Domenec Puig; Nicolai Petkov; Petia Radeva (IEEE J. Biomed. Health Informatics, 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)

No-Reference Digital Image Quality Assessment Based on Structure Similarity. - Basma Ahmed; Mohamed Abdel-Nasser; Osama Ahmed Omer; Amal Rashed; 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)

Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; 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)

Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective. - Eddardaa Ben Loussaief; 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)

Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. - Abdul Qayyum; Abdesslam Benzinou; Moona Mazher; Mohamed Abdel-Nasser; Domenec Puig (HECKTOR@MICCAI, 2021)

Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. - Moona Mazher; Abdul Qayyum; Abdesslam Benzinou; Mohamed Abdel-Nasser; Domenec Puig (STACOM@MICCAI, 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)

A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images. - José Escorcia-Gutierrez; Jordina Torrents-Barrena; Margarita Gamarra; Pedro Romero-Aroca; Aïda Valls; Domenec Puig (Expert Syst. Appl., 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)

Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. - Loay Hassan; Adel Saleh; Mohamed Abdel-Nasser; Osama Ahmed Omer; Domenec Puig (Int. J. Interact. Multim. Artif. Intell., 2021)

Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity. - Jainendra Shukla; Miguel Barreda-Ángeles; Joan Oliver; Gora Chand Nandi; Domenec Puig (IEEE Trans. Affect. Comput., 2021)

Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. - Loay Hassan; Adel Saleh; Mohamed Abdel-Nasser; Osama Ahmed Omer; Domenec Puig (Traitement du Signal, 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)

Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. - Basma Ahmed; Osama Ahmed Omer; Amal Rashed; Domenec Puig; Mohamed Abdel-Nasser (CCIA, 2022)

Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (CCIA, 2022)

Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. - Mohamed A. Hassanien; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (CCIA, 2022)

Towards Cross-Sites Generalization for Prostate MRI Segmentation to Unseen Data. - Eddardaa Ben Loussaief; Domenec Puig (CCIA, 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)

Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images. - Maryam Tahmooresi; Mohamed Abdel-Nasser; 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)

Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images. - José Escorcia-Gutierrez; Jose Cuello; Carlos Barraza; Margarita Gamarra; Pere Romero-Aroca; Eduardo Caicedo; Aïda Valls; Domenec Puig (CISIM, 2022)

Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. - Moona Mazher; Abdul Qayyum; Mohamed Abdel-Nasser; Domenec Puig (LAScarQS@MICCAI, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 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)

Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. - Moona Mazher; Abdul Qayyum; Domenec Puig; Mohamed Abdel-Nasser (Entropy, 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)

Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks. - José Escorcia-Gutierrez; Jose Cuello; Margarita Gamarra; Pere Romero-Aroca; Eduardo Caicedo; Aïda Valls; Domenec Puig (CISIM, 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)

Invariance measures for neural networks. - Facundo Manuel Quiroga; Jordina Torrents-Barrena; Laura Lanzarini; Domenec Puig-Valls (Appl. Soft Comput., 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)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. - Loay Hassan; Adel Saleh; Vivek Kumar Singh 008; Domenec Puig; Mohamed Abdel-Nasser (Comput., 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)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 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)

Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. - Moona Mazher; Abdul Qayyum; Domenec Puig; Mohamed Abdel-Nasser (Int. J. Imaging Syst. Technol., 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)

Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. - Loay Hassan; Mohamed Abdel-Nasser; Adel Saleh; Domenec Puig (Mach. Learn. Knowl. Extr., 2024)

3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. - Abdul Qayyum; Abdesslam Benzinou; Imran Razzak; Moona Mazher; Thanh Thi Nguyen 001; Domenec Puig; Fatemeh Vafaee (IEEE J. Biomed. Health Informatics, 2024)

Designing an adaptive cost function for dynamic human pose predictions. - Gaurav Kumar Yadav; Domenec Puig; Gora Chand Nandi (Multim. Tools Appl., 2024)

Dual-Stream CoAtNet models for accurate breast ultrasound image segmentation. - Nadeem Zaidkilani; Miguel Ángel García; Domenec Puig (Neural Comput. Appl., 2024)

Dimension Reduction of Multidimensional Structured and Unstructured Datasets through Ensemble Learning of Neural Embeddings. - Juan Carlos Alvarado-Pérez; Miguel Ángel García; Domenec Puig (Adv. Intell. Syst., 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)

Unsupervised Domain Adaptation with Contrastive Learning for Classifying Breast Lesions in Mammograms. - Mariam M. Hassan; Mohamed Ragab 002; Mohamed Abdel-Nasser; Domenec Puig (CBMS, 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)

CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images. - Nadeem Zaidkilani; Miguel Ángel García; Domenec Puig (Neurocomputing, 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)

Online dimensionality reduction through stacked generalization of spectral methods with deep networks. - Juan Carlos Alvarado-Pérez; Miguel Ángel García; Domenec Puig (Mach. Learn., 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)

A two-stage progressive deep segmentation network for tumor detection in breast ultrasound images. - Nadeem Zaidkilani; Mohamed Abdel-Nasser; Miguel Ángel García; Domenec Puig (Multim. Tools Appl., 2025)