| Active learning for detection of mine-like objects in side-scan sonar imagery E Dura, Y Zhang, X Liao, GJ Dobeck, L Carin IEEE Journal of Oceanic Engineering 30 (2), 360-371, 2005 | 104 | 2005 |
| Girls4STEM: Gender diversity in STEM for a sustainable future X Benavent, E de Ves, A Forte, C Botella-Mascarell, E López-Iñesta, ... Sustainability 12 (15), 6051, 2020 | 90 | 2020 |
| Superellipse fitting for the recovery and classification of mine-like shapes in sidescan sonar images E Dura, J Bell, D Lane IEEE Journal of Oceanic Engineering 33 (4), 434-444, 2009 | 52 | 2009 |
| A method for liver segmentation in Perfusion MR Images using probabilistic atlases and viscous reconstruction E Dura, J Domingo, E Goceri, L Marti-Bonmati Pattern Analysis and Applications 21 (3), 1083–1095, 2017 | 50 | 2017 |
| A method for liver segmentation in Perfusion MR Images using probabilistic atlases and viscous reconstruction E Dura, J Domingo, E Goceri, L Martí-Bonmatí Pattern Analysis and Aplications, 0 | 50* | |
| Reconstruction of textured seafloors from side-scan sonar images E Durá, J Bell, D Lane IEE Proceedings-Radar, Sonar and Navigation 151 (2), 114-126, 2004 | 40 | 2004 |
| AI-based Autonomous UAV Swarm System for Weed Detection and Treatment: Enhancing Organic Orange Orchard Efficiency with Agriculture 5.0 P Catala, J Segura, E Dura, J Alcaraz, E Navarro, E Garcia-Pineda Internet of Things, 2024 | 27 | 2024 |
| Iteratively learning a liver segmentation using probabilistic atlases: preliminary results J Domingo, E Dura, E Göçeri 2016 15th IEEE international conference on machine learning and applications …, 2016 | 27 | 2016 |
| The future we want: a learning experience to promote SDGs in higher education from the United Nations and University of Valencia V Vázquez-Verdera, J Domingo, E Dura, D Gabaldón-Estevan, ... Sustainability 13 (15), 8550, 2021 | 26 | 2021 |
| Modeling of female human body shapes for apparel design based on cross mean sets J Domingo, MV Ibáñez, A Simó, E Dura, G Ayala, S Alemany Expert Systems with Applications 41 (14), 6224-6234, 2014 | 22 | 2014 |
| Superellipse fitting for the classification of mine-like shapes in side-scan sonar images E Dura, JM Bell, DM Lane OCEANS'02 MTS/IEEE 1, 23-28, 2002 | 22 | 2002 |
| Modeling user preferences in content-based image retrieval: A novel attempt to bridge the semantic gap E de Ves, G Ayala, X Benavent, J Domingo, E Dura Neurocomputing 168, 829-845, 2015 | 18 | 2015 |
| Mathematical Morphology for Color Images: An Image‐Dependent Approach X Benavent, E Dura, F Vegara, J Domingo Mathematical Problems in Engineering 2012 (1), 678326, 2012 | 17 | 2012 |
| Probabilistic liver atlas construction E Dura, J Domingo, G Ayala, L Marti-Bonmati, E Goceri Biomedical engineering online 16 (1), 15, 2017 | 13 | 2017 |
| A level set method with sobolev gradient and haralick edge detection E Goceri, ED Martinez Glob J Technol 5 (1), 2014 | 13 | 2014 |
| Extraction and classification of objects from sidescan sonar JM Bell, E Dura, S Reed, YR Petillot, DM Lane Proceedings of the IEE Workshop on Nonlinear and Non-Gaussian Signal Processing, 2002 | 13 | 2002 |
| Evaluation of the registration of temporal series of contrast-enhanced perfusion magnetic resonance 3D images of the liver E Dura, J Domingo, G Ayala, L Martí-Bonmatí Computer methods and programs in biomedicine 108 (3), 932-945, 2012 | 12 | 2012 |
| Automatic segmentation of the spine by means of a probabilistic atlas with a special focus on ribs suppression S Ruiz‐España, J Domingo, A Díaz‐Parra, E Dura, V D'Ocón‐Alcañiz, ... Medical physics 44 (9), 4695-4707, 2017 | 11 | 2017 |
| Artificial neural network based abdominal organ segmentations: a review E Goceri, E Martinez 2015 IEEE 14th international conference on machine learning and applications …, 2015 | 11 | 2015 |
| Image processing techniques for the detection and classification of man made objects in side-scan sonar images E Dura, S Rakheja, L Honghai, N Kolev Sonar Systems, 2011 | 11 | 2011 |
Guillermo AyalaDepartment of Statistics and Operation ResearchVerified email at uv.es
