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Domènec Savi Puig Valls

Rovira i Virgili University - Department of Computer Engineering and Mathematics

SCHOLARLY PAPERS

6

DOWNLOADS

553

TOTAL CITATIONS

1

Scholarly Papers (6)

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1.

Efficient Crack Segmentation with Multi-Decoder Networks and Enhanced Feature Fusion

Number of pages: 63 Posted: 24 Aug 2024
Ammar Mohammed Okran Almasrwhi, Hatem A. Rashwan, Adel Saleh and Domènec Savi Puig Valls
Universitat Rovira i Virgili, Rovira i Virgili University - Department of Computer Engineering and Mathematics, affiliation not provided to SSRN and Rovira i Virgili University - Department of Computer Engineering and Mathematics
Downloads 115 (617,542)

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Artificial Intelligence, Convolutional neural networks, Deep learning, Self Supervised Learning, Semantic Segmentation, Pavement crack segmentation

2.

Fgr-Net: Interpretable Fundus Image Gradeability Classification Based on Deep Reconstruction Learning

Number of pages: 44 Posted: 07 Jul 2022
Saif Khalid Musluh AL Khalidy, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdelnasser Mohamed, Domènec Savi Puig Valls and Facundo Manuel Quiroga
Rovira i Virgili University, Rovira i Virgili University - Department of Computer Engineering and Mathematics, Rovira i Virgili University, Rovira i Virgili University - Department of Computer Engineering and Mathematics, Rovira i Virgili University - Department of Computer Engineering and Mathematics and affiliation not provided to SSRN
Downloads 115 (617,542)
Citation 1

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Retinal Image, Autoencoder Network, Ocular Diseases, Deep Learning, Intepretability and Explainability, Gradability

3.

Acromegaly Facial Changes Analysis Using Last Generation Artificial Intelligence Methodology: The AcroFace System

Number of pages: 32 Posted: 30 Jun 2023
Hatem A. Rashwan, Montserrat Marqués-Pamies, Sabina Ruiz, Joan Gil, Martina Pellicer, Diego Asensio-Wandosell, María-Antonia Martínez-Momblán, Federico Vázquez, Isabel Salinas, Raquel Ciriza, Mireia Jordà, Philippe Chanson, Elena Valassi, Mohamed Abdelnasser Mohamed, Domènec Savi Puig Valls and Manel Puig-Domingo
Rovira i Virgili University - Department of Computer Engineering and Mathematics, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Spanish Association of People with Acromegaly, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, University of Paris - Centre de Référence des Maladies Rares de l’Hypophyse, Autonomous University of Barcelona - Service of Endocrinology and Nutrition, Rovira i Virgili University - Department of Computer Engineering and Mathematics, Rovira i Virgili University - Department of Computer Engineering and Mathematics and Autonomous University of Barcelona - Service of Endocrinology and Nutrition
Downloads 112 (630,858)

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Acromegaly, facial changes, facial analysis, Artificial Intelligence, acromegaly detection

4.

Maternal Nutritional Factors Enhance Birthweight Prediction: A Super Learner Ensemble Approach

Number of pages: 58 Posted: 19 Dec 2023
Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Michelle Murphy and Domènec Savi Puig Valls
Rovira i Virgili University, Rovira i Virgili University - Department of Computer Engineering and Mathematics, Rovira i Virgili University, Rovira i Virgili University and Rovira i Virgili University - Department of Computer Engineering and Mathematics
Downloads 103 (674,591)

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Birthweight prediction, Ensemble learning, Machine learning, Super learner, Maternal nutrients

5.

Crackrefinenet: A Context- and Refinement-Driven Convolutional Architecture for Robust Crack Segmentation Under Real-World and Zero-Shot Conditions

Number of pages: 43 Posted: 21 Jul 2025
Ammar Mohammed Okran Almasrwhi, Hatem A. Rashwan, Saif Khalid Musluh AL Khalidy, Sylvie Chambon and Domènec Savi Puig Valls
Universitat Rovira i Virgili, Rovira i Virgili University - Department of Computer Engineering and Mathematics, Rovira i Virgili University, affiliation not provided to SSRN and Rovira i Virgili University - Department of Computer Engineering and Mathematics
Downloads 55 (1,010,164)

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Artificial intelligence, Crack segmentation, Deep Learning, Context-aware features, Adaptive feature refinement, Selective feature aggregation, Infrastructure inspection

6.

Effective Approaches for Fetal Brain Segmentation in MRI and Gestational Age Estimation Utilizing Multiview Deep Inception Residual Network and Radiomics

Number of pages: 44 Posted: 22 Jul 2022
Moona Mazher, Abdul Qayyum, Domènec Savi Puig Valls and Mohamed Abdelnasser Mohamed
Rovira i Virgili University, Université de Bourgogne - UMR-CNRS, Rovira i Virgili University - Department of Computer Engineering and Mathematics and Rovira i Virgili University - Department of Computer Engineering and Mathematics
Downloads 53 (1,031,043)

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Multi-view segmentation, Fetal Brain, Fetal age prediction, Deep Learning, Regression