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ORCIDDomenec Puig
Domenec Puig-Valls
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- affiliation: Rovira i Virgili University (URV), Department of Computer Science and Mathematics, Spain
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Journal Articles
- 2024
[j74]Saif Khalid
, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig:
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. Expert Syst. Appl. 238(Part C): 121644 (2024)- [j73]Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser:
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. Int. J. Imaging Syst. Technol. 34(1) (2024) - [j72]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): 1185-1194 (2024) - 2023
- [j71]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: 22430-22440 (2023) - [j70]Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi:
Implicit regularization of a deep augmented neural network model for human motion prediction. Appl. Intell. 53(14): 18027-18040 (2023) - [j69]Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig-Valls:
Invariance measures for neural networks. Appl. Soft Comput. 132: 109817 (2023) - [j68]Loay Hassan, Adel Saleh, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser:
Detecting Breast Tumors in Tomosynthesis Images Utilizing Deep Learning-Based Dynamic Ensemble Approach. Comput. 12(11): 220 (2023) - [j67]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: 81-92 (2023) - [j66]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: 102833 (2023) - [j65]Saddam Abdulwahab, Hatem A. Rashwan, Najwa Sharaf, Saif Khalid, Domenec Puig:
Deep Monocular Depth Estimation Based on Content and Contextual Features. Sensors 23(6): 2919 (2023) - [j64]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): 3302-3313 (2023) - 2022
- [j63]Joao Paulo Schwarz Schuler, Santiago Romani Also, Domenec Puig, Hatem A. Rashwan, Mohamed Abdel-Nasser:
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints. Entropy 24(9): 1264 (2022) - [j62]Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser:
Effective Approaches to Fetal Brain Segmentation in MRI and Gestational Age Estimation by Utilizing a Multiview Deep Inception Residual Network and Radiomics. Entropy 24(12): 1708 (2022) - [j61]Aditya Singh, Raghav Narula, Hatem A. Rashwan, Mohamed Abdel-Nasser, Domenec Puig, Gora Chand Nandi:
Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots. Neural Comput. Appl. 34(18): 15617-15631 (2022) - [j60]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): 16423-16440 (2022) - [j59]Armin Masoumian, Hatem A. Rashwan, Julián Cristiano, M. Salman Asif, Domenec Puig:
Monocular Depth Estimation Using Deep Learning: A Review. Sensors 22(14): 5353 (2022) - 2021
- [j58]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: 114697 (2021) - [j57]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser:
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183: 115433 (2021) - [j56]Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig:
Promising Deep Semantic Nuclei Segmentation Models for Multi-Institutional Histopathology Images of Different Organs. Int. J. Interact. Multim. Artif. Intell. 6(6): 35-45 (2021) - [j55]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): 857-869 (2021) - [j54]Loay Hassan, Adel Saleh, Mohamed Abdel-Nasser, Osama Ahmed Omer, Domenec Puig:
Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network. Traitement du Signal 38(3): 653-661 (2021) - 2020
- [j53]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: 104049 (2020) - [j52]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:
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Expert Syst. Appl. 139 (2020) - [j51]Vivek Kumar Singh, Mohamed Abdel-Nasser, Farhan Akram, Hatem A. Rashwan, Md. Mostafa Kamal Sarker, Nidhi Pandey, Santiago Romaní, Domenec Puig:
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162: 113870 (2020) - [j50]Karar Mahmoud, Mohamed Abdel-Nasser, Heba Kashef, Domenec Puig, Matti Lehtonen:
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics. Int. J. Interact. Multim. Artif. Intell. 6(4): 157-163 (2020) - [j49]Jordi de La Torre, Aïda Valls, Domenec Puig:
A deep learning interpretable classifier for diabetic retinopathy disease grading. Neurocomputing 396: 465-476 (2020) - [j48]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): 34141-34158 (2020) - [j47]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): 2947-2958 (2020) - [j46]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): 866-877 (2020) - 2019
- [j45]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: 39069-39082 (2019) - [j44]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Alain Lalande, Benoit Presles, Santiago Romaní, Domenec Puig:
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [j43]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): 631-649 (2019) - [j42]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): 139-152 (2019) - 2018
- [j41]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: 45-52 (2018) - [j40]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): 279-290 (2018) - [j39]Adel Saleh, Mohamed Abdel-Nasser, Miguel Ángel García, Domenec Puig:
Aggregating the temporal coherent descriptors in videos using multiple learning kernel for action recognition. Pattern Recognit. Lett. 105: 4-12 (2018) - [j38]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: 50-58 (2018) - [j37]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: 144-154 (2018) - 2017
- [j36]Mohamed Abdel-Nasser, Jaime Melendez, Antonio Moreno, Osama Ahmed Omer, Domenec Puig:
Breast tumor classification in ultrasound images using texture analysis and super-resolution methods. Eng. Appl. Artif. Intell. 59: 84-92 (2017) - [j35]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A Practical and Highly Optimized Convolutional Neural Network for Classifying Traffic Signs in Real-Time. Int. J. Comput. Vis. 122(2): 246-269 (2017) - [j34]Said Pertuz, Miguel Ángel García, Domenec Puig, Henry Arguello:
A Closed-Form Focus Profile Model for Conventional Digital Cameras. Int. J. Comput. Vis. 124(3): 273-286 (2017) - [j33]Mohamed Abdel-Nasser, Antonio Moreno, Hatem A. Rashwan, Domenec Puig:
Analyzing the evolution of breast tumors through flow fields and strain tensors. Pattern Recognit. Lett. 93: 162-171 (2017) - 2016
- [j32]M. Beenamol, J. Mohanalin, S. Prabavathy, Jordina Torrents-Barrena, Domenec Puig:
A novel wavelet seismic denoising method using type II fuzzy. Appl. Soft Comput. 48: 507-521 (2016) - [j31]Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig:
Temporal mammogram image registration using optimized curvilinear coordinates. Comput. Methods Programs Biomed. 127: 1-14 (2016) - [j30]Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Domenec Puig:
Automatic nipple detection in breast thermograms. Expert Syst. Appl. 64: 365-374 (2016) - [j29]Hatem A. Rashwan, Agusti Solanas, Domenec Puig, Antoni Martínez-Ballesté:
Understanding trust in privacy-aware video surveillance systems. Int. J. Inf. Sec. 15(3): 225-234 (2016) - [j28]Jordina Torrents-Barrena, Domenec Puig, Jaime Melendez, Aïda Valls:
Computer-aided diagnosis of breast cancer via Gabor wavelet bank and binary-class SVM in mammographic images. J. Exp. Theor. Artif. Intell. 28(1-2): 295-311 (2016) - [j27]Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig:
Towards cost reduction of breast cancer diagnosis using mammography texture analysis. J. Exp. Theor. Artif. Intell. 28(1-2): 385-402 (2016) - [j26]Hatem A. Rashwan, Miguel Ángel García, Antoni Martínez-Ballesté, Domenec Puig:
Defeating face de-identification methods based on DCT-block scrambling. Mach. Vis. Appl. 27(2): 251-262 (2016) - [j25]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A practical approach for detection and classification of traffic signs using Convolutional Neural Networks. Robotics Auton. Syst. 84: 97-112 (2016) - 2015
- [j24]Said Pertuz, Miguel Ángel García, Domenec Puig:
Focus-aided scene segmentation. Comput. Vis. Image Underst. 133: 66-75 (2015) - [j23]Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Antonio Moreno:
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern. Expert Syst. Appl. 42(24): 9499-9511 (2015) - [j22]Said Pertuz, Miguel Ángel García, Domenec Puig:
Efficient Focus Sampling Through Depth-of-Field Calibration. Int. J. Comput. Vis. 112(3): 342-353 (2015) - [j21]Fran Casino, Josep Domingo-Ferrer, Constantinos Patsakis, Domenec Puig, Agusti Solanas:
A k-anonymous approach to privacy preserving collaborative filtering. J. Comput. Syst. Sci. 81(6): 1000-1011 (2015) - [j20]Julián Cristiano, Miguel Ángel García, Domenec Puig:
Deterministic phase resetting with predefined response time for CPG networks based on Matsuoka's oscillator. Robotics Auton. Syst. 74: 88-96 (2015) - 2014
- [j19]Mahmoud A. Mohamed, Hatem A. Rashwan, Bärbel Mertsching, Miguel Ángel García, Domenec Puig:
Illumination-Robust Optical Flow Using a Local Directional Pattern. IEEE Trans. Circuits Syst. Video Technol. 24(9): 1499-1508 (2014) - 2013
- [j18]Hamed Habibi Aghdam, Domenec Puig, Agusti Solanas:
A Probabilistic Approach for Breast Boundary Extraction in Mammograms. Comput. Math. Methods Medicine 2013: 408595:1-408595:19 (2013) - [j17]Said Pertuz, Domenec Puig, Miguel Ángel García:
Reliability measure for shape-from-focus. Image Vis. Comput. 31(10): 725-734 (2013) - [j16]Said Pertuz, Domenec Puig, Miguel Ángel García:
Analysis of focus measure operators for shape-from-focus. Pattern Recognit. 46(5): 1415-1432 (2013) - [j15]Xavier Gironés, Carme Julià, Domenec Puig:
Full Quadrant Approximations for the Arctangent Function [Tips and Tricks]. IEEE Signal Process. Mag. 30(1): 130-135 (2013) - [j14]Said Pertuz, Domenec Puig, Miguel Ángel García, Andrea Fusiello:
Generation of All-in-Focus Images by Noise-Robust Selective Fusion of Limited Depth-of-Field Images. IEEE Trans. Image Process. 22(3): 1242-1251 (2013) - [j13]Hatem A. Rashwan, Miguel Ángel García, Domenec Puig:
Variational Optical Flow Estimation Based on Stick Tensor Voting. IEEE Trans. Image Process. 22(7): 2589-2599 (2013) - 2012
- [j12]Hatem A. Rashwan, Domenec Puig, Miguel Ángel García:
Improving the robustness of variational optical flow through tensor voting. Comput. Vis. Image Underst. 116(9): 953-966 (2012) - 2011
- [j11]Carme Julià, Rodrigo Moreno, Domenec Puig, Miguel Ángel García:
Shape-based image segmentation through photometric stereo. Comput. Vis. Image Underst. 115(1): 91-104 (2011) - [j10]Jaime Melendez, Miguel Ángel García, Domenec Puig, Maria Petrou:
Unsupervised texture-based image segmentation through pattern discovery. Comput. Vis. Image Underst. 115(8): 1121-1133 (2011) - [j9]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Carme Julià:
Edge-preserving color image denoising through tensor voting. Comput. Vis. Image Underst. 115(11): 1536-1551 (2011) - [j8]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Luis Pizarro, Bernhard Burgeth, Joachim Weickert:
On Improving the Efficiency of Tensor Voting. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2215-2228 (2011) - [j7]Domenec Puig, Miguel Ángel García, Ling Wu:
A new global optimization strategy for coordinated multi-robot exploration: Development and comparative evaluation. Robotics Auton. Syst. 59(9): 635-653 (2011) - 2010
- [j6]Domenec Puig, Miguel Ángel García, Jaime Melendez:
Application-independent feature selection for texture classification. Pattern Recognit. 43(10): 3282-3297 (2010) - [j5]Jaime Melendez, Domenec Puig, Miguel Ángel García:
Multi-level pixel-based texture classification through efficient prototype selection via normalized cut. Pattern Recognit. 43(12): 4113-4123 (2010) - 2008
- [j4]Jaime Melendez, Miguel Ángel García, Domenec Puig:
Efficient distance-based per-pixel texture classification with Gabor wavelet filters. Pattern Anal. Appl. 11(3-4): 365-372 (2008) - 2007
- [j3]Domenec Puig, Miguel Ángel García:
Pixel-Based Texture Classification by Integration of Multiple Feature Extraction Methods Evaluated over Multisized Windows. Int. J. Pattern Recognit. Artif. Intell. 21(7): 1159-1170 (2007) - [j2]Miguel Ángel García, Domenec Puig:
Supervised texture classification by integration of multiple texture methods and evaluation windows. Image Vis. Comput. 25(7): 1091-1106 (2007) - 2006
- [j1]Domenec Puig, Miguel Ángel García:
Automatic texture feature selection for image pixel classification. Pattern Recognit. 39(11): 1996-2009 (2006)
Conference and Workshop Papers
- 2023
- [c126]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: 38-47 - [c125]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: 240-252 - 2022
- [c124]Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Effective Deep Learning-Based Ensemble Model for Road Crack Detection. IEEE Big Data 2022: 6407-6415 - [c123]Gaurav Kumar Yadav, Benigno Moreno Vidales, Sara Dueñas, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, Gora Chand Nandi:
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. CCIA 2022: 139-142 - [c122]Eddardaa Ben Loussaief, Domenec Puig:
Towards Cross-Sites Generalization for Prostate MRI Segmentation to Unseen Data. CCIA 2022: 221-224 - [c121]Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. CCIA 2022: 225-228 - [c120]Basma Ahmed, Osama Ahmed Omer, Amal Rashed, Domenec Puig, Mohamed Abdel-Nasser:
Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. CCIA 2022: 243-248 - [c119]Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics. CCIA 2022: 269-278 - [c118]Maryam Tahmooresi, Mohamed Abdel-Nasser, Domenec Puig:
Analyzing the Reliability of Different Machine Radiomics Features Considering Various Segmentation Approaches in Lung Cancer CT Images. CCIA 2022: 289-297 - [c117]Mohamed A. Hassanien, Vivek Kumar Singh, Domenec Puig, Mohamed Abdel-Nasser:
Transformer-Based Radiomics for Predicting Breast Tumor Malignancy Score in Ultrasonography. CCIA 2022: 298-307 - [c116]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: 202-213 - [c115]Moona Mazher, Abdul Qayyum, Mohamed Abdel-Nasser, Domenec Puig:
Automatic Semi-supervised Left Atrial Segmentation Using Deep-Supervision 3DResUnet with Pseudo Labeling Approach for LAScarQS 2022 Challenge. LAScarQS@MICCAI 2022: 153-161 - 2021
- [c114]Daniel Padilla, Hatem A. Rashwan, Domenec Puig:
On Determining Suitable Embedded Devices for Deep Learning Models. CCIA 2021: 285-294 - [c113]Eddardaa Ben Loussaief, Mohamed Abdel-Nasser, Domenec Puig:
Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective. CCIA 2021: 295-304 - [c112]Loay Hassan, Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Lesion Detection in Breast Tomosynthesis Using Efficient Deep Learning and Data Augmentation Techniques. CCIA 2021: 315-324 - [c111]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: 325-334 - [c110]Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation. CCIA 2021: 349-356 - [c109]Basma Ahmed, Mohamed Abdel-Nasser, Osama Ahmed Omer, Amal Rashed, Domenec Puig:
No-Reference Digital Image Quality Assessment Based on Structure Similarity. CCIA 2021: 367-374 - [c108]Joao Paulo Schwarz Schuler, Santiago Romaní, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA 2021: 375-382 - [c107]Joao Paulo Schwarz Schuler, Santiago Romaní, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA 2021: 383-391 - [c106]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: 392-401 - [c105]Saif Khalid, Saddam Abdulwahab, Hatem A. Rashwan, Julián Cristiano, Mohamed Abdel-Nasser, Domenec Puig:
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network. CCIA 2021: 402-411 - [c104]Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Mohamed Abdel-Nasser, Domenec Puig:
Automatic Segmentation of Head and Neck (H&N) Primary Tumors in PET and CT Images Using 3D-Inception-ResNet Model. HECKTOR@MICCAI 2021: 58-67 - [c103]Moona Mazher, Abdul Qayyum, Abdesslam Benzinou, Mohamed Abdel-Nasser, Domenec Puig:
Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach. STACOM@MICCAI 2021: 335-343 - 2020
- [c102]Armin Masoumian, Mohammad Chehreghani Montazer, Domenec Puig-Valls, Pezhman Kazemi, Hatem A. Rashwan:
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. ICMRE 2020: 63-67 - [c101]Armin Masoumian, Mohammad Chehreghani Montazer, Domenec Puig-Valls, Pezhman Kazemi, Hatem A. Rashwan:
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. ICMRE 2020: 199-203 - [c100]Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Channel-wise Aggregation with Self-correction Mechanism for Multi-center Multi-Organ Nuclei Segmentation in Whole Slide Imaging. VISIGRAPP (4: VISAPP) 2020: 466-473 - [c99]Mohamed Abdel-Nasser, Francesc Solsona, Domenec Puig:
Pectoral Muscle Segmentation in Tomosynthesis Images using Geometry Information and Grey Wolf Optimizer. VISIGRAPP (5: VISAPP) 2020: 829-836 - 2019
- [c98]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: 262-275 - [c97]Md. Mostafa Kamal Sarker, Syeda Furruka Banu, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Sylvie Chambon, Petia Radeva, Domenec Puig:
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA 2019: 145-151 - [c96]Mohamed Abdel-Nasser, Adel Saleh, Domenec Puig:
Automated System for Breast Cancer Detection from Electronic Health Records. CCIA 2019: 302-305 - [c95]Saddam Abdulwahab, Hatem A. Rashwan, Najwa Sharaf, Domenec Puig:
MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network. CCIA 2019: 356-364 - [c94]Vivek Kumar Singh, Mohamed Abdel-Nasser, Hatem A. Rashwan, Farhan Akram, Rami Haffar, Nidhi Pandey, Md. Mostafa Kamal Sarker, Sebastian Kohan, Josep Guma, Santiago Romaní, Domenec Puig:
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA 2019: 365-372 - [c93]Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Lanzarini, Domenec Puig:
Measuring (in)variances in Convolutional Networks. JCC&BD 2019: 98-109 - [c92]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: 1-7 - [c91]Adel Saleh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Saddam Abdulwahab, Md. Mostafa Kamal Sarker, Miguel Ángel García, Domenec Puig:
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. VISIGRAPP (5: VISAPP) 2019: 77-84 - [c90]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: 143-154 - [c89]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: 354-361 - 2018
- [c88]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: 325-334 - [c87]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: 365-372 - [c86]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:
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA 2018: 373-380 - [c85]Nasibeh Saffari, Hatem A. Rashwan, Blas Herrera, Santiago Romaní, Meritxell Arenas, Domenec Puig:
On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks. CCIA 2018: 386-393 - [c84]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: 423-433 - [c83]Bahram Lavi Sefidgari, Mehdi Fatan, Domenec Puig-Valls:
Comparative Study of the Behavior of Feature Reduction Methods in Person Re-identification Task. ICPRAM 2018: 614-621 - [c82]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:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) 2018: 21-29 - [c81]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:
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. MICCAI (2) 2018: 833-840 - [c80]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: 276-281 - [c79]Julián Cristiano, Hatem A. Rashwan, Domenec Puig:
Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments. WAF 2018: 44-55 - 2017
- [c78]Shimaa Ragab, Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig:
Improving the Performance of Diabetic Retinopathy Computer-Aided Diagnosis Systems Using an Ensemble of Texture Analysis Methods. CCIA 2017: 16-25 - [c77]Vivek Kumar Singh, Santiago Romaní, Jordina Torrents-Barrena, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig:
Classification of Breast Cancer Molecular Subtypes from Their Micro-Texture in Mammograms Using a VGGNet-Based Convolutional Neural Network. CCIA 2017: 76-85 - [c76]Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Nasibeh Saffari Tabalvandani, Domenec Puig:
Feature Learning for Breast Tumour Classification Using Bio-Inspired Optimization Algorithms. CCIA 2017: 106-115 - [c75]Farhan Akram, Miguel Ángel García, Vivek Kumar Singh, Nasibeh Saffari, Md. Mostafa Kamal Sarker, Domenec Puig:
Image Segmentation Using Active Contours Driven by Bias Fitted Image Robust to Intensity Inhomogeneity. CCIA 2017: 146-155 - [c74]Md. Mostafa Kamal Sarker, Maria Leyva, Adel Saleh, Vivek Kumar Singh, Farhan Akram, Petia Radeva, Domenec Puig:
FoodPlaces: Learning Deep Features for Food Related Scene Understanding. CCIA 2017: 156-165 - [c73]Jainendra Shukla, Miguel Barreda-Ángeles, Joan Oliver, Domenec Puig:
Effectiveness of socially assistive robotics during cognitive stimulation interventions: Impact on caregivers. RO-MAN 2017: 62-67 - [c72]Julián Cristiano, Domenec Puig, Miguel Ángel García:
Automatic Characterization of Phase Resetting Controllers for Quick Balance Recovery During Biped Locomotion. ROBOT (2) 2017: 91-101 - [c71]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Increasing the Stability of CNNs using a Denoising Layer Regularized by Local Lipschitz Constant in Road Understanding Problems. VISIGRAPP (5: VISAPP) 2017: 218-225 - [c70]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks. VISIGRAPP (5: VISAPP) 2017: 226-234 - [c69]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Studying Stability of Different Convolutional Neural Networks Against Additive Noise. VISIGRAPP (5: VISAPP) 2017: 362-369 - 2016
- [c68]José Escorcia-Gutierrez, Jordina Torrents-Barrena, Pedro Romero-Aroca, Aïda Valls, Domenec Puig:
Interactive Optic Disk Segmentation via Discrete Convexity Shape Knowledge Using High-Order Functionals. CCIA 2016: 39-44 - [c67]Luis Hernando-Ríos G., Miguel Angel García-García, Domenec Puig-Valls:
Performance Analysis of Bag of Visual Words for Recognition of Complex Scenes. CCIA 2016: 51-57 - [c66]Jordi de La Torre, Aïda Valls, Domenec Puig:
Diabetic Retinopathy Detection Through Image Analysis Using Deep Convolutional Neural Networks. CCIA 2016: 58-63 - [c65]Adel Saleh, Mohamed Abdel-Nasser, Miguel Ángel García, Domenec Puig:
The Impact of Coherence Analysis and Subsequences Aggregation on Representation Learning for Human Activity Recognition. CCIA 2016: 64-70 - [c64]Mohamed Abdel-Nasser, Adel Saleh, Antonio Moreno, Domenec Puig:
Modeling the Evolution of Breast Skin Temperatures for Cancer Detection. CCIA 2016: 117-126 - [c63]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Classification of Foods Using Spatial Pyramid Convolutional Neural Network. CCIA 2016: 163-168 - [c62]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Fusing Convolutional Neural Networks with a Restoration Network for Increasing Accuracy and Stability. ECCV Workshops (1) 2016: 178-191 - [c61]Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
Training a Mentee Network by Transferring Knowledge from a Mentor Network. ECCV Workshops (3) 2016: 500-507 - [c60]Adel Saleh, Mohamed Abdel-Nasser, Farhan Akram, Miguel Ángel García, Domenec Puig:
Analysis of Temporal Coherence in Videos for Action Recognition. ICIAR 2016: 325-332 - [c59]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Classification of foods by transferring knowledge from ImageNet dataset. ICMV 2016: 1034128 - [c58]Jainendra Shukla, Miguel Barreda-Ángeles, Joan Oliver, Domenec Puig:
MuDERI: Multimodal Database for Emotion Recognition Among Intellectually Disabled Individuals. ICSR 2016: 264-273 - [c57]Adel Saleh, Miguel Ángel García, Farhan Akram, Mohamed Abdel-Nasser, Domenec Puig:
Exploiting the Kinematic of the Trajectories of the Local Descriptors to Improve Human Action Recognition. VISIGRAPP (3: VISAPP) 2016: 182-187 - [c56]Jordi Bautista-Ballester, Jaume Vergés-Llahí, Domenec Puig:
Combining Contextual and Modal Action Information into a Weighted Multikernel SVM for Human Action Recognition. VISIGRAPP (4: VISAPP) 2016: 299-307 - [c55]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Analyzing the Stability of Convolutional Neural Networks against Image Degradation. VISIGRAPP (4: VISAPP) 2016: 370-382 - 2015
- [c54]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A New One Class Classifier Based on Ensemble of Binary Classifiers. CAIP (2) 2015: 242-253 - [c53]Mohamed Abdel-Nasser, Antonio Moreno, Domenec Puig:
Analysis of the evolution of breast tumours using strain tensors. CCIA 2015: 237-246 - [c52]Jordina Torrents-Barrena, Aïda Valls, Petia Radeva, Meritxell Arenas, Domenec Puig:
Automatic Recognition of Molecular Subtypes of Breast Cancer in X-Ray images using Segmentation-based Fractal Texture Analysis. CCIA 2015: 247-256 - [c51]Jordina Torrents-Barrena, Jaime Melendez, Aïda Valls, Pere Romero, Domenec Puig:
Screening for Diabetic Retinopathy through Retinal Colour Fundus Images using Convolutional Neural Networks. CCIA 2015: 259-262 - [c50]Jaume Vergés-Llahí, Hamed Habibi, Fran Casino, Domenec Puig:
GAME-ABLING: Platform of Games for People with Cerebral Palsy. EPS 2015 - [c49]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Toward an optimal convolutional neural network for traffic sign recognition. ICMV 2015: 98750K - [c48]Jordi Bautista-Ballester, Jaume Vergés-Llahí, Domenec Puig:
Weighting video information into a multikernel SVM for human action recognition. ICMV 2015: 98750J - [c47]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
An unsupervised method for summarizing egocentric sport videos. ICMV 2015: 98751N - [c46]Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig:
A deep convolutional neural network for recognizing foods. ICMV 2015: 98751D - [c45]Hamed H. Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Recognizing Traffic Signs Using a Practical Deep Neural Network. ROBOT (1) 2015: 399-410 - [c44]Jainendra Shukla, Julián Cristiano, Laia Anguera, Jaume Vergés-Llahí, Domenec Puig:
A Comparison of Robot Interaction with Tactile Gaming Console Stimulation in Clinical Applications. ROBOT (2) 2015: 435-445 - [c43]Jainendra Shukla, Julián Cristiano, David Amela, Laia Anguera, Jaume Vergés-Llahí, Domenec Puig:
A Case Study of Robot Interaction Among Individuals with Profound and Multiple Learning Disabilities. ICSR 2015: 613-622 - [c42]Jordi Bautista-Ballester, Jaume Vergés-Llahí, Domenec Puig:
Using Action Objects Contextual Information for a Multichannel SVM in an Action Recognition Approach based on Bag of Visual Words. VISAPP (2) 2015: 78-86 - [c41]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes. VISAPP (2) 2015: 87-96 - [c40]Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig:
Traffic Sign Recognition Using Visual Attributes and Bayesian Network. VISIGRAPP (Selected Papers) 2015: 295-315 - [c39]Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno, Adel Saleh, Joan Martí, Luis Martin, Anna Magarolas:
Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines. VISAPP (1) 2015: 387-394 - [c38]Farhan Akram, Domenec Puig, Miguel Ángel García, Adel Saleh:
Multiphase Region-based Active Contours for Semi-automatic Segmentation of Brain MRI Images. VISAPP (1) 2015: 447-454 - 2014
- [c37]Jordina Torrents-Barrena, Domenec Puig, Maria Ferre, Jaime Melendez, Joan Martí, Aïda Valls:
Analysis of Gabor-Based Texture Features for the Identification of Breast Tumor Regions in Mammograms. CCIA 2014: 149-158 - [c36]Mohamed Abdel-Nasser, Domenec Puig, Antonio Moreno:
Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods. CCIA 2014: 159-168 - [c35]Said Pertuz, Carme Julià, Domenec Puig:
A Novel Mammography Image Representation Framework with Application to Image Registration. ICPR 2014: 3292-3297 - [c34]Hamed Habibi Aghdam, Domenec Puig, Agusti Solanas:
Adaptive Probabilistic Thresholding Method for Accurate Breast Region Segmentation in Mammograms. ICPR 2014: 3357-3362 - [c33]Jordina Torrents-Barrena, Domenec Puig, Maria Ferre, Jaime Melendez, Lorena Diez-Presa, Meritxell Arenas, Joan Martí:
Breast Masses Identification through Pixel-Based Texture Classification. Digital Mammography / IWDM 2014: 581-588 - [c32]Joan Massich, Fabrice Mériaudeau, Melcior Sentís, Sergi Ganau, Elsa Pérez, Domenec Puig, Robert Marti, Arnau Oliver, Joan Martí:
SIFT Texture Description for Understanding Breast Ultrasound Images. Digital Mammography / IWDM 2014: 681-688 - 2013
- [c31]Aïda Valls, Cindy Medina, Antonio Moreno, Domenec Puig:
Selection of Gabor Filters with Choquet Integral for Texture Analysis in Mammogram Images. CCIA 2013: 67-76 - [c30]Hatem A. Rashwan, Mahmoud A. Mohamed, Miguel Ángel García, Bärbel Mertsching, Domenec Puig:
Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients. GCPR 2013: 354-363 - [c29]Antoni Martínez-Ballesté, Hatem A. Rashwan, Jordi Castellà-Roca, Domenec Puig:
A trustworthy database for privacy-preserving video surveillance. EDBT/ICDT Workshops 2013: 179-183 - [c28]Fran Casino, Constantinos Patsakis, Domenec Puig, Agusti Solanas:
On Privacy Preserving Collaborative Filtering: Current Trends, Open Problems, and New Issues. ICEBE 2013: 244-249 - [c27]Fran Casino, Josep Domingo-Ferrer, Constantinos Patsakis, Domenec Puig, Agusti Solanas:
Privacy Preserving Collaborative Filtering with k-Anonymity through Microaggregation. ICEBE 2013: 490-497 - [c26]Mahmoud A. Mohamed, Hatem A. Rashwan, Bärbel Mertsching, Miguel Ángel García, Domenec Puig:
On improving the robustness of variational optical flow against illumination changes. ARTEMIS@ACM Multimedia 2013: 1-8 - [c25]Jordi Bautista-Ballester, Jaume Vergés-Llahí, Domenec Puig:
Programming by Demonstration: A Taxonomy of Current Relevant Methods to Teach and Describe New Skills to Robots. ROBOT (1) 2013: 287-300 - [c24]Julián Cristiano, Domenec Puig, Miguel Ángel García:
Locomotion Control of a Biped Robot through a Feedback CPG Network. ROBOT (1) 2013: 527-540 - [c23]Vittorio Cipolla, Aldo Frediani, Rezia Molfino, Giovanni Gerardo Muscolo, Fabrizio Oliviero, Domenec Puig, Carmine Tommaso Recchiuto, Emanuele Rizzo, Agusti Solanas, Paul J. Stewart:
A Personal Robotic Flying Machine with Vertical Takeoff Controlled by the Human Body Movements. TAROS 2013: 51-52 - [c22]Rezia Molfino, Giovanni Gerardo Muscolo, Domenec Puig, Carmine Tommaso Recchiuto, Agusti Solanas, A. Mark Williams:
An Embodied-Simplexity Approach to Design Humanoid Robots Bioinspired by Taekwondo Athletes. TAROS 2013: 311-312 - 2012
- [c21]Domenec Puig, Jaime Melendez, Agusti Solanas, Aïda Valls, Antonio Moreno:
Supervised Texture Classification Using Optimization Techniques. CCIA 2012: 81-90 - [c20]Antoni Martínez-Ballesté, Hatem A. Rashwan, Domenec Puig, Antonia Paniza Fullana:
Towards a trustworthy privacy in pervasive video surveillance systems. PerCom Workshops 2012: 914-919 - 2011
- [c19]Hatem A. Rashwan, Domenec Puig, Miguel Ángel García:
On improving the robustness of differential optical flow. ICCV Workshops 2011: 876-881 - [c18]Jaime Melendez, Xavier Gironés, Domenec Puig:
Supervised texture segmentation through a multi-level pixel-based classifier based on specifically designed filters. ICIP 2011: 2869-2872 - [c17]Carme Julià, Marco Paladini, Ravi Garg, Domenec Puig, Lourdes Agapito:
Automatic Estimation of the Number of Deformation Modes in Non-rigid SfM with Missing Data. SCIA 2011: 381-392 - 2010
- [c16]Said Pertuz, Domenec Puig, Miguel Ángel García:
Improving Shape-from-Focus by Compensating for Image Magnification Shift. ICPR 2010: 802-805 - [c15]Jaime Melendez, Domenec Puig, Miguel Ángel García:
On Adapting Pixel-based Classification to Unsupervised Texture Segmentation. ICPR 2010: 854-857 - [c14]Rodrigo Moreno, Miguel Ángel García, Domenec Puig:
Robust Color Image Segmentation through Tensor Voting. ICPR 2010: 3372-3375 - 2009
- [c13]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Carme Julià:
On Adapting the Tensor Voting Framework to Robust Color Image Denoising. CAIP 2009: 492-500 - [c12]Jaime Melendez, Domenec Puig, Miguel Ángel García:
Gabor-based texture classification through efficient prototype selection via normalized cut. ICIP 2009: 1385-1388 - [c11]Rodrigo Moreno, Miguel Ángel García, Domenec Puig, Carme Julià:
Robust color edge detection through tensor voting. ICIP 2009: 2153-2156 - [c10]Rodrigo Moreno, Domenec Puig, Carme Julià, Miguel Ángel García:
A new methodology for evaluation of edge detectors. ICIP 2009: 2157-2160 - 2007
- [c9]Jaime Melendez, Domenec Puig, Miguel Ángel García:
Comparative Evaluation of Classical Methods, Optimized Gabor Filters and LBP for Texture Feature Selection and Classification. CAIP 2007: 912-920 - [c8]Rodrigo Moreno, Miguel Ángel García, Domenec Puig:
Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstraction Levels. GbRPR 2007: 148-157 - 2005
- [c7]Domenec Puig, Miguel Ángel García:
Automatic Selection of Multiple Texture Feature Extraction Methods for Texture Pattern Classification. IbPRIA (2) 2005: 215-222 - 2003
- [c6]Miguel Ángel García, Domenec Puig:
Robust Aggregation of Expert Opinions Based on Conflict Analysis and Resolution. CAEPIA 2003: 488-497 - [c5]Miguel Ángel García, Domenec Puig:
Pixel Classification by Divergence-Based Integration of Multiple Texture Methods and Its Application to Fabric Defect Detection. DAGM-Symposium 2003: 132-139 - [c4]Domenec Puig, Miguel Ángel García:
Pixel-Based Texture Classification by Integration of Multiple Texture Feature Evaluation Windows. IbPRIA 2003: 793-801 - [c3]Domenec Puig, Miguel Ángel García:
Pixel classification through divergence-based integration of texture methods with conflict resolution. ICIP (2) 2003: 1037-1040 - 2002
- [c2]Miguel Ángel García, Domenec Puig:
Recognizing specific texture patterns by integration of multiple texture methods. ICIP (1) 2002: 125-128 - [c1]Miguel Ángel García, Domenec Puig:
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods. ICPR (3) 2002: 7-10
Informal and Other Publications
- 2024
- [i24]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 abs/2403.19425 (2024) - 2023
- [i23]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 abs/2303.09494 (2023) - [i22]Facundo Manuel Quiroga, Jordina Torrents-Barrena, Laura Cristina Lanzarini, Domenec Puig-Valls:
Invariance Measures for Neural Networks. CoRR abs/2310.17404 (2023) - 2022
- [i21]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 Specktor-Fadida, 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 abs/2204.09573 (2022) - 2021
- [i20]Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Domenec Puig, Hatem A. Rashwan:
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation. CoRR abs/2110.05144 (2021) - [i19]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 abs/2111.01715 (2021) - [i18]Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls:
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. CoRR abs/2111.05308 (2021) - [i17]Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls:
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. CoRR abs/2111.05309 (2021) - [i16]Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, Domenec Puig:
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network. CoRR abs/2112.06782 (2021) - 2019
- [i15]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 abs/1905.04097 (2019) - [i14]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Mohamed Abdel-Nasser, Vivek Kumar Singh, Syeda Furruka Banu, Farhan Akram, Forhad U. H. Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig:
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR abs/1907.00856 (2019) - [i13]Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Farhan Akram, Nidhi Pandey, Santiago Romaní, Domenec Puig:
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR abs/1907.00887 (2019) - [i12]Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker, Nidhi Pandey, Domenec Puig:
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. CoRR abs/1907.02742 (2019) - 2018
- [i11]Mehdi Fatan Serj, Bahram Lavi, Gabriela Hoff, Domenec Puig-Valls:
A Deep Convolutional Neural Network for Lung Cancer Diagnostic. CoRR abs/1804.08170 (2018) - [i10]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:
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. CoRR abs/1805.10207 (2018) - [i9]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:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR abs/1805.10241 (2018) - [i8]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 abs/1805.12081 (2018) - [i7]Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR abs/1806.03905 (2018) - [i6]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 abs/1808.09829 (2018) - [i5]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:
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. CoRR abs/1809.01687 (2018) - [i4]Jordi de La Torre, Aïda Valls, Domenec Puig, Pere Romero-Aroca:
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier. CoRR abs/1809.08567 (2018) - [i3]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 abs/1812.07613 (2018) - 2017
- [i2]Jordi de La Torre, Aïda Valls, Domenec Puig:
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading. CoRR abs/1712.08107 (2017) - 2015
- [i1]Elnaz Jahani Heravi, Hamed H. Aghdam, Domenec Puig:
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain. CoRR abs/1511.03042 (2015)
Coauthor Index
[j74] [j73] [j70] [j68] [j63] [j62] [j61] [j57] [j56] [j54] [j51] [j50] [j44] [j39] [j36] [j33] [j31] [j30] [j27] [j23] [c124] [c123] [c121] [c120] [c119] [c118] [c117] [c115] [c113] [c112] [c110] [c109] [c108] [c107] [c105] [c104] [c103] [c100] [c99] [c97] [c96] [c94] [c91] [c78] [c76] [c65] [c64] [c60] [c57] [c53] [c39] [c36] [i20] [i14] [i13] [i12]
[j71] [j60] [j48] [j47] [j42] [j39] [j34] [j26] [j24] [j22] [j20] [j19] [j17] [j16] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c91] [c88] [c75] [c72] [c65] [c60] [c57] [c38] [c30] [c26] [c24] [c19] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j74] [j71] [j70] [j67] [j65] [j63] [j61] [j60] [j59] [j57] [j52] [j51] [j48] [j47] [j45] [j44] [j42] [j40] [j33] [j29] [j26] [j23] [j19] [j13] [j12] [c126] [c124] [c123] [c121] [c114] [c111] [c110] [c108] [c107] [c106] [c105] [c102] [c101] [c97] [c95] [c94] [c91] [c89] [c87] [c86] [c85] [c84] [c82] [c81] [c79] [c30] [c29] [c26] [c20] [c19] [i23] [i20] [i19] [i18] [i17] [i16] [i14] [i13] [i12] [i10] [i9] [i8] [i7] [i6] [i5]
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