In this page you can find all the articles published by IRCV group. There are ordered based on year of publications.
.: Daniyal Iqbal, Domenec Puig, Muhammad Mursil, Hatem A. Rashwan
Automated Multi-Modal MRI Segmentation of Stroke Lesions and Corticospinal Tract Integrity for Functional Outcome Prediction, Tomography, 12(3), 29, MDPI, 2026.
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.: Mariam M. Hassan, Mahmoud Khalil, Siyuan Dai, Liang Zhan, Mohamed Ragab, Mohamed Abdel-Nasser, Domenec Puig
Adaptation for Cross-Population, in Next-Gen Healthcare: AI-Powered Medical Innovations, Springer, p. 41, 2026.
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.: Ammar M. Okran, Hatem A. Rashwan, Sylvie Chambon, Domenec Puig
Adaptive Expert Selection for Crack Segmentation Using a Top-K Mixture-of-Experts Framework with Out-of-Fold Supervision, Electronics, 15(2), 407, MDPI, 2026.
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.: Saif Khalid Musluh, Hatem A. Rashwan, Ammar M. Okran, Sylvie Chambon, Saddam Abdulwahab, Domenec Puig
CDR-LWP: Layer-Wise Probability Fusion and Interpretable Deep Learning for Multi-Stage Diabetic Retinopathy Classification, Research Square (preprint), Springer, 2026.
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.: Ammar M. Okran, Domenec Puig, Saif Khalid Musluh, Sylvie Chambon, Hatem A. Rashwan
Context- and refinement-driven convolutional architecture for robust crack segmentation under real-world and zero-shot conditions, Automation in Construction, 181, 106635, Elsevier, 2026.
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.: Sebastian Buzdugan, Moona Mazher, Domenec Puig
Radiogenomics for Glioblastoma Survival Prediction: Integrating Radiomics, Clinical, and Genomic Features Using Artificial Intelligence, Journal of Imaging Informatics in Medicine, Springer, 2025.
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.: Ammar M. Okran, Hatem A. Rashwan, Sylvie Chambon, Domenec Puig
Annotation-Efficient and Domain-General Segmentation from Weak Labels: A Bounding Box-Guided Approach, Electronics, 14(19), 3917, MDPI, 2025.
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.: Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Pere Cavallé-Busquets, Michelle M. Murphy, Domenec Puig
M-TabNet: A Transformer-Based Multi-Encoder for Early Neonatal Birth Weight Prediction Using Multimodal Data, IEEE Journal of Biomedical and Health Informatics, 30(2), pp. 1642–1651, IEEE, 2026.
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.: Adnan Khalid, Muhammad Mursil, Carlos López Pablo, Ramon Bosch, Domenec Puig, Hatem A Rashwan
Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework, Frontiers in Oncology, 15, Frontiers Media SA, 2025. more information
.: Saddam Abdulwahab, Hatem A. Rashwan, Moumen T. El-Melegy, Domenec Puig
DAR-MDE: Depth-Attention Refinement for Multi-Scale Monocular Depth Estimation, Journal of Sensor and Actuator Networks, 14(5), 90, MDPI, 2025. more information
.: 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 M 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, Hyunsu Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sebastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam 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 R Hernandez Petzsche, Michael Müller, Bjoern Menze, Jan S Kirschke, Benedikt Wiestler
DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES’22 challenge, Nature Communications, 16(1), 7357, Nature Publishing Group UK London, 2025. more information
.: Nadeem Zaidkilani, Mohamed Abdel-Nasser, Miguel Angel Garcia, Domenec Puig
A two-stage progressive deep segmentation network for tumor detection in breast ultrasound images, Multimedia Tools and Applications, 84(27), 31841–31863, Springer, 2025. more information
.: Hussein Hasan, Miguel Angel Garcia, Hatem Rashwan, Domenec Puig
CoHAtNet: An integrated convolutional-transformer architecture with hybrid self-attention for end-to-end camera localization, Image and Vision Computing, 105674, Elsevier, 2025. more information
.: Ammar M. Okran, Hatem A. Rashwan, Adel Saleh, Domenec Puig
Efficient crack segmentation with multi-decoder networks and enhanced feature fusion, Engineering Applications of Artificial Intelligence, 152, 110697, Elsevier, 2025. more information
.: Hatem A. Rashwan, Montserrat Marquès-Pamies, Sabina Ruiz, Joan Gil, Diego Asensio-Wandosell, María-Antonia Martínez-Momblán, Federico Vázquez, Isabel Salinas, Raquel Ciriza, Mireia Jordà, Philippe Chanson, Elena Valassi, Mohamed Abdelnasser, Domènec Puig, Manel Puig-Domingo
Acromegaly facial changes analysis using last generation artificial intelligence methodology: the AcroFace system, Pituitary, 28(3), 50, Springer, 2025. more information
.: Nadeem Zaidkilani, Miguel Angel Garcia, Domenec Puig
CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images, Neurocomputing, 629, 129660, Elsevier, 2025. more information
.: Muhammad Mursil, Hatem A. Rashwan, Adnan Khalid, Pere Cavallé-Busquets, Luis Santos-Calderon, Michelle M. Murphy, Domenec Puig
Interpretable deep neural networks for advancing early neonatal birth weight prediction using multimodal maternal factors, Journal of Biomedical Informatics, 104838, Elsevier, 2025. more information
.: Juan Carlos Alvarado-Perez, Miguel Angel Garcia, Domenec Puig
Online dimensionality reduction through stacked generalization of spectral methods with deep networks, Machine Learning, 114(5), 125, Springer, 2025. more information
.: Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Pere Cavalle-Busquets, Michelle M. Murphy, Domenec Puig
M-TabNet: A Multi-Encoder Transformer Model for Predicting Neonatal Birth Weight from Multimodal Data, arXiv preprint arXiv:2504.15312, 2025. more information
.: 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, Applied Intelligence, 53(14), 18027–18040, Springer, 2023. more information
.: Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig, G.C. Nandi
Correction to: Implicit regularization of a deep augmented neural network model for human motion prediction, Applied Intelligence, 55(6), 509, Springer, 2025. more information
.: Laia Gutierrez-Tordera, Laura Panisello, Pablo García-Gonzalez, Agustín Ruiz, José Luis Cantero, Melina Rojas-Criollo, Muhammad Mursil, Mercedes Atienza, Nil Novau-Ferré, Javier Mateu-Fabregat, Hamza Mostafa, Domènec Puig, Jaume Folch, Hatem Rashwan, Marta Marquié, Mercè Boada, Christopher Papandreou, Mònica Bulló
Metabolic signature of insulin resistance and risk of Alzheimer’s disease, The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences, 80(3), glae283, Oxford University Press US, 2025.
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.: 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 M 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, Chi-ho Yoon, Chulhong Kim, Jiayu Huo, Sebastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam 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 R Hernandez Petzsche, Bjoern Menze, Jan S Kirschke, Benedikt Wiestler“
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge’‘,arXiv preprint arXiv:2403.19425, 2024/3/28, (2024). more information
.: 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 Systems With Applications, 238, 121644, Pergamon, 2024/3/15, (2024). more information
.: 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‘, Machine Learning and Knowledge Extraction,6, 619-641, MDPI, 2024/3/11, (2024). more information
.: Gaurav Kumar Yadav, Hatem A Rashwan, Benigno Moreno Vidales, Mohamed Abdel-Nasser, Joan Oliver, GC Nandi, Domenec Puig “
A Data-Driven Model to Predict Quality of Life Dimensions of People with Intellectual Disability Based on the GENCAT Scale‘, Social Indicators Research, 1-17, Springer Netherlands, 2024/1/30, (2024). more information
.: 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‘, International Journal of Imaging Systems and Technology, 34, e23010, John Wiley & Sons, Inc. , 2024/1/1, (2024). more information
.: Gaurav Kumar Yadav, Domenec Puig, GC Nandi “
Designing an adaptive cost function for dynamic human pose predictions’‘, Multimedia Tools and Applications, 1-19, Springer US, 2023/12/11, (2023). more information
.: Ammar M. Okran, Adel Saleh, Domenec Puig, Hatem A. Rashwan“
Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation”, Artificial Intelligence Research and Development: Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence, 375, 38, IOS Press, 2023/11/9, (2023). more information
.: 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“, Computers, 12, 11, 220, MDPI, 2023/10/30, (2023). more information
.: José Escorcia-Gutierrez, Jose Cuello, Margarita Gamarra, Pere Romero-Aroca, Eduardo Caicedo, Aida Valls, Domenec Puig, “
Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks’‘,Springer Nature Switzerland, 2023/9/15, (2023). more information
.: 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, Li Xuesong, 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 Menze, Meritxell Bach Cuadra, Andras Jakab, “
Fetal brain tissue annotation and segmentation challenge results’‘,Medical Image Analysis, 2023/8/1, (2023). more information
.: 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 Queirós, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hullebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A Zuluaga, Hassan Mohy-ud-Din, Dimitris Metaxas, Marcel Breeuwer, Rob J van der Geest, Michelle Noga, Stephanie 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 Journal of Biomedical and Health Informatics, 2023/4/17, (2023). more information
.: Eddardaa Ben Loussaief, Hatem Rashwan, Mohammed Ayad, Mohammed Zakaria Hassan, Domenec Puig, “
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models’‘,arXiv preprint arXiv:2303.09494, 2023/3/16, (2023). more information
.: Saddam Abdulwahab, Hatem A Rashwan, Najwa Sharaf, Saif Khalid, Domenec Puig, “
Deep Monocular Depth Estimation Based on Content and Contextual Features’‘, Sensors, 2023/3/8, (2023). more information
.: Gaurav Kumar Yadav, Benigno Moreno Vidales, Hatem A Rashwan, Joan Oliver, Domenec Puig, GC Nandi, Mohamed Abdel-Nasser, “
Effective ML-based quality of life prediction approach for dependent people in guardianship entities’‘, Alexandria Engineering Journal, 2023/2/15, (2023). more information
.: Mohamed Abdel-Nasser, Oriol Farràs, Domènec Puig, Hatem A Rashwan, “
7th URV Doctoral Workshop in Computer Science and Mathematics’‘, Publicacions Universitat Rovira i Virgili, 2023/1/20, (2023). more information
.: Gaurav Kumar Yadav, Mohamed Abdel-Nasser, Hatem A Rashwan, Domenec Puig, GC Nandi, “
Implicit regularization of a deep augmented neural network model for human motion prediction’‘, Applied Intelligence, 2023/1/20, (2023). more information
.: Armin Masoumian, Hatem A Rashwan, Saddam Abdulwahab, Julian Cristiano, M Salman Asif, Domenec Puig, “
Gcndepth: Self-supervised monocular depth estimation based on graph convolutional network”, Neurocomputing, 2023/1/14, (2023). more information