Domenec Puig

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 139

Top Venues

CCIA

CoRR

VISIGRAPP (5: VISAPP)

Expert Syst. Appl.

Publications

Gaurav Kumar Yadav, Domenec Puig, Gora Chand Nandi
Designing an adaptive cost function for dynamic human pose predictions. Multim. Tools Appl. 83 (18) (2024)
Abdul Qayyum, Abdesslam Benzinou, Imran Razzak, Moona Mazher, Thanh Thi Nguyen, Domenec Puig, Fatemeh Vafaee
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction. IEEE J. Biomed. Health Informatics 28 (3) (2024)
Eddardaa Ben Loussaief, Mohammed Ayad, Domenec Puig, Hatem A. Rashwan
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings. CoRR (2024)
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors. Mach. Learn. Knowl. Extr. 6 (1) (2024)
Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. Expert Syst. Appl. 238 (Part C) (2024)
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR (2024)
Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. Int. J. Imaging Syst. Technol. 34 (1) (2024)
Eddardaa Ben Loussaief, Hatem A. Rashwan, Mohammed Ayad, Mohammed Zakaria Hassan, Domenec Puig
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models. CoRR (2023)
Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, M. Salman Asif, Domenec Puig
GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network. Neurocomputing 517 (2023)
Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
Implicit regularization of a deep augmented neural network model for human motion prediction. Appl. Intell. 53 (14) (2023)
Ammar M. Okran, Adel Saleh, Domenec Puig, Hatem A. Rashwan
Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation. CCIA (2023)
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, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88 (2023)
José Escorcia-Gutierrez, Jose Cuello, Margarita Gamarra, Pere Romero-Aroca, Eduardo Caicedo, Aïda Valls, Domenec Puig
Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks. CISIM (2023)
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, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27 (7) (2023)
Loay Hassan, Adel Saleh, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. Comput. 12 (11) (2023)
Saddam Abdulwahab, Hatem A. Rashwan, Najwa Sharaf, Saif Khalid, Domenec Puig
Deep Monocular Depth Estimation Based on Content and Contextual Features. Sensors 23 (6) (2023)
Daniel Padilla Carrasco, Hatem A. Rashwan, Miguel Ángel García, Domenec Puig
T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks. IEEE Access 11 (2023)
Aditya Singh, Raghav Narula, Hatem A. Rashwan, Mohamed Abdel-Nasser, Domenec Puig, Gora Chand Nandi
Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots. Neural Comput. Appl. 34 (18) (2022)
Armin Masoumian, Hatem A. Rashwan, Julián Cristiano, M. Salman Asif, Domenec Puig
Monocular Depth Estimation Using Deep Learning: A Review. Sensors 22 (14) (2022)
Joao Paulo Schwarz Schuler, Santiago Romani Also, Domenec Puig, Hatem A. Rashwan, Mohamed Abdel-Nasser
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints. Entropy 24 (9) (2022)
José Escorcia-Gutierrez, Jose Cuello, Carlos Barraza, Margarita Gamarra, Pere Romero-Aroca, Eduardo Caicedo, Aïda Valls, Domenec Puig
Analysis of Pre-trained Convolutional Neural Network Models in Diabetic Retinopathy Detection Through Retinal Fundus Images. CISIM (2022)
Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser
Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. Entropy 24 (12) (2022)
Basma Ahmed, Osama Ahmed Omer, Amal Rashed, Domenec Puig, Mohamed Abdel-Nasser
Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. CCIA (2022)
Eddardaa Ben Loussaief, Domenec Puig
Towards Cross-Sites Generalization for Prostate MRI Segmentation to Unseen Data. CCIA (2022)
Moona Mazher, Abdul Qayyum, Mohamed Abdel-Nasser, Domenec Puig
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. LAScarQS@MICCAI (2022)
Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
Effective Deep Learning-Based Ensemble Model for Road Crack Detection. Big Data (2022)
Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. CCIA (2022)
Saddam Abdulwahab, Hatem A. Rashwan, Miguel Ángel García, Armin Masoumian, Domenec Puig
Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting. Neural Comput. Appl. 34 (19) (2022)
Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Fadida-Specktor, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR (2022)
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. CCIA (2022)
Mohamed A. Hassanien, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. CCIA (2022)
Gaurav Kumar Yadav, Benigno Moreno Vidales, Sara Dueñas, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. CCIA (2022)
Maryam Tahmooresi, Mohamed Abdel-Nasser, Domenec Puig
Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images. CCIA (2022)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183 (2021)
Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Domenec Puig, Hatem A. Rashwan
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation. CoRR (2021)
José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, Pedro Romero-Aroca, Aïda Valls, Domenec Puig
A color fusion model based on Markowitz portfolio optimization for optic disc segmentation in retinal images. Expert Syst. Appl. 174 (2021)
Saddam Abdulwahab, Hatem A. Rashwan, Armin Masoumian, Najwa Sharaf, Domenec Puig
Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network. CCIA (2021)
Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan
Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models. CCIA (2021)
Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. Traitement du Signal 38 (3) (2021)
Joao Paulo Schwarz Schuler, Santiago Romani, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA (2021)
Saif Khalid, Saddam Abdulwahab, Hatem A. Rashwan, Julián Cristiano, Mohamed Abdel-Nasser, Domenec Puig
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network. CCIA (2021)
Eddardaa Ben Loussaief, Mohamed Abdel-Nasser, Domenec Puig
Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective. CCIA (2021)
Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Mohamed Abdel-Nasser, Domenec Puig
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. HECKTOR@MICCAI (2021)
Jainendra Shukla, Miguel Barreda-Ángeles, Joan Oliver, Gora Chand Nandi, Domenec Puig
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity. IEEE Trans. Affect. Comput. 12 (4) (2021)
Joao Paulo Schwarz Schuler, Santiago Romani, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA (2021)
Moona Mazher, Abdul Qayyum, Abdesslam Benzinou, Mohamed Abdel-Nasser, Domenec Puig
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. STACOM@MICCAI (2021)
Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. Int. J. Interact. Multim. Artif. Intell. 6 (6) (2021)
Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, Domenec Puig
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network. CoRR (2021)
Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. CCIA (2021)
Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan
Absolute distance prediction based on deep learning object detection and monocular depth estimation models. CoRR (2021)
Basma Ahmed, Mohamed Abdel-Nasser, Osama Ahmed Omer, Amal Rashed, Domenec Puig
No-Reference Digital Image Quality Assessment Based on Structure Similarity. CCIA (2021)
Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig
WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation. CCIA (2021)
Daniel Padilla, Hatem A. Rashwan, Domenec Puig
On Determining Suitable Embedded Devices for Deep Learning Models. CCIA (2021)
Karar Mahmoud, Mohamed Abdel-Nasser, Heba Kashef, Domenec Puig, Matti Lehtonen
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics. Int. J. Interact. Multim. Artif. Intell. 6 (4) (2020)
Saddam Abdulwahab, Hatem A. Rashwan, Miguel Ángel García, Mohammed Jabreel, Sylvie Chambon, Domenec Puig
Adversarial Learning for Depth and Viewpoint Estimation From a Single Image. IEEE Trans. Circuits Syst. Video Technol. 30 (9) (2020)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romani, Domenec Puig
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162 (2020)
Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
Hierarchical Approach to Classify Food Scenes in Egocentric Photo-Streams. IEEE J. Biomed. Health Informatics 24 (3) (2020)
Hatem A. Rashwan, Miguel Ángel García, Saddam Abdulwahab, Domenec Puig
Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks. Multim. Tools Appl. 79 (45-46) (2020)
Jordi de La Torre, Aïda Valls, Domenec Puig
A deep learning interpretable classifier for diabetic retinopathy disease grading. Neurocomputing 396 (2020)
Mohamed Abdel-Nasser, Francesc Solsona, Domenec Puig
Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer. VISIGRAPP (5: VISAPP) (2020)
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Expert Syst. Appl. 139 (2020)
Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging. VISIGRAPP (4: VISAPP) (2020)
José Escorcia-Gutierrez, Jordina Torrents-Barrena, Margarita Gamarra, Pedro Romero-Aroca, Aïda Valls, Domenec Puig
Convexity shape constraints for retinal blood vessel segmentation and foveal avascular zone detection. Comput. Biol. Medicine 127 (2020)
Joan Oliver, Rebeca Oliván, Jainendra Shukla, Annabel Folch, Rafael Martínez-Leal, Mireia Castellá, Domenec Puig
Stakeholders Acceptance and Expectations of Robot-Assisted Therapy for Children with Autism Spectrum Disorder. RO-MAN (2019)
Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA (2019)
Iván Calvo, Saúl Calderón Ramírez, Jordina Torrents-Barrena, Erick Muñoz, Domenec Puig
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. CARLA (2019)
Jainendra Shukla, Julián Cristiano, Joan Oliver, Domenec Puig
Robot Assisted Interventions for Individuals with Intellectual Disabilities: Impact on Users and Caregivers. Int. J. Soc. Robotics 11 (4) (2019)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR (2019)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romani, Domenec Puig
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7 (2019)
Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romani, Domenec Puig
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR (2019)
Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romani, Domenec Puig
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA (2019)
Saddam Abdulwahab, Hatem A. Rashwan, Najwa Sharaf, Domenec Puig
MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network. CCIA (2019)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access 7 (2019)
Saddam Abdulwahab, Hatem A. Rashwan, Julián Cristiano, Sylvie Chambon, Domenec Puig
Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM. VISIGRAPP (5: VISAPP) (2019)
Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig
Automated System for Breast Cancer Detection from Electronic Health Records. CCIA (2019)
Adel Saleh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Saddam Abdulwahab, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. VISIGRAPP (5: VISAPP) (2019)
Estefanía Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker, Domenec Puig, Nicolai Petkov, Petia Radeva
Hierarchical approach to classify food scenes in egocentric photo-streams. CoRR (2019)
Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. CoRR (2019)
Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig
A Modified Self-training Method for Adapting Domains in the Task of Food Classification. VISIGRAPP (5: VISAPP) (2019)
Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig
Measuring (in)variances in Convolutional Networks. JCC&BD (2019)
Hatem A. Rashwan, Miguel Ángel García, Sylvie Chambon, Domenec Puig
Gait representation and recognition from temporal co-occurrence of flow fields. Mach. Vis. Appl. 30 (1) (2019)
Farhan Akram, Vivek Kumar Singh, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig
Brain MR Image Segmentation Using Multiphase Active Contours Based on Local and Global Fitted Images. CCIA (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romani, Domenec Puig
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR (2018)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) (2018)
Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents-Barrena, Adel Saleh, Meritxell Arenas, Domenec Puig
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. CoRR (2018)
Vivek Kumar Singh, Santiago Romani, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Saddam Abdulwahab, Jordina Torrents-Barrena, Adel Saleh, Miguel Arquez, Meritxell Arenas, Domenec Puig
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. MICCAI (2) (2018)
Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. CoRR (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Jordina Torrents-Barrena, Santiago Romani, Domenec Puig
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA (2018)
Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig
An optimized convolutional neural network with bottleneck and spatial pyramid pooling layers for classification of foods. Pattern Recognit. Lett. 105 (2018)
Mohammad Rahmani, Blas Herrera, Oleh Kachmar, Julián Cristiano, Domenec Puig
Instant Measurement of the Difficulty Level of Exergames with Simple Uni-dimensional Level Goals for Cerebral Palsy Players. JCSG (2018)
Jainendra Shukla, Miguel Barreda-Ángeles, Joan Oliver, Domenec Puig
Efficient wavelet-based artifact removal for electrodermal activity in real-world applications. Biomed. Signal Process. Control. 42 (2018)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. CoRR (2018)
Jordi de La Torre, Domenec Puig, Aïda Valls
Weighted kappa loss function for multi-class classification of ordinal data in deep learning. Pattern Recognit. Lett. 105 (2018)
Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Vivek Kumar Singh, Antonio Moreno, Petia Radeva, Domenec Puig
CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. CCIA (2018)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romani, Petia Radeva, Domenec Puig
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR (2018)
Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Petia Radeva, Domenec Puig
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. CoRR (2018)
Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, Agusti Solanas
Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance. Int. J. Inf. Sec. 17 (3) (2018)
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams. ECCV Workshops (5) (2018)
Adel Saleh, Mohamed Abdel-Nasser, Miguel Ángel García, Domenec Puig
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition. Pattern Recognit. Lett. 105 (2018)
Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romani, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. CoRR (2018)

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