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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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2020 – today
- 2024
[j77]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)- [j76]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) - [j75]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): 619-641 (2024) - [j74]Gaurav Kumar Yadav, Domenec Puig, Gora Chand Nandi:
Designing an adaptive cost function for dynamic human pose predictions. Multim. Tools Appl. 83(18): 53201-53219 (2024) - [j73]Nadeem Zaidkilani, Miguel Ángel García, Domenec Puig:
Dual-Stream CoAtNet models for accurate breast ultrasound image segmentation. Neural Comput. Appl. 36(26): 16427-16443 (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) - [i25]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) - [i24]Eddardaa Ben Loussaief, Mohammed Ayad, Domenec Puig, Hatem A. Rashwan:
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings. CoRR abs/2404.02738 (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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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) - 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) - [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
2010 – 2019
- 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) - [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 - [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
- [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) - [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,