| HMDB: a large video database for human motion recognition H Kuehne, H Jhuang, E Garrote, T Poggio, T Serre 2011 International Conference on Computer Vision, 2556-2563, 2011 | 1645 | 2011 |
| Automated home-cage behavioural phenotyping of mice H Jhuang, E Garrote, X Yu, V Khilnani, T Poggio, AD Steele, T Serre Nature communications 1 (1), 1-10, 2010 | 196 | 2010 |
| Data-driven color augmentation techniques for deep skin image analysis A Galdran, A Alvarez-Gila, MI Meyer, CL Saratxaga, T Araújo, E Garrote, ... arXiv preprint arXiv:1703.03702, 2017 | 27 | 2017 |
| Adversarial networks for spatial context-aware spectral image reconstruction from rgb A Alvarez-Gila, J Van De Weijer, E Garrote Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 22 | 2017 |
| Ntire 2018 challenge on spectral reconstruction from rgb images B Arad, O Ben-Shahar, R Timofte Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 17 | 2018 |
| Measurement of the optical transfer function using a white-dot pattern presented on a liquid-crystal display FA Navas-Moya, JL Nieves, EM Valero, E Garrote J. Eur. Opt. Soc. 8, 13029, 2013 | 13 | 2013 |
| Outdoor scene reflectance measurements using a Bragg-grating-based hyperspectral imager EGC Jia Eckhard, Timo Eckhard, Eva M. Valero, Juan Luis Nieves Applied Optics 54 (13), 2015 | 12 | 2015 |
| Trainable, vision-based automated home cage behavioral phenotyping H Jhuang, E Garrote, N Edelman, T Poggio, A Steele, T Serre Proceedings of the 7th International Conference on Methods and Techniques in …, 2010 | 10* | 2010 |
| Vision-based automated recognition of mice home-cage behaviors H Jhuang, E Garrote, T Poggio, A Steele, T Serre Workshop: Visual Observation and Analysis of Animal and Insect Behavior, in …, 2010 | 6 | 2010 |
| Modified fuzzy c-means applied to a Bragg grating-based spectral imager for material clustering A Rodríguez, JL Nieves, E Valero, E Garrote, J Hernández-Andrés, ... Image Processing: Machine Vision Applications V 8300, 83000J, 2012 | 5 | 2012 |
| Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia A Picon, U Irusta, A Álvarez-Gila, E Aramendi, F Alonso-Atienza, ... PloS one 14 (5), 2019 | 4 | 2019 |
| Pectoral muscle segmentation in mammograms based on cartoon-texture decomposition A Galdran, A Picón, E Garrote, D Pardo Iberian Conference on Pattern Recognition and Image Analysis, 587-594, 2015 | 4 | 2015 |
| TECNOLOGÍAS BIG DATA PARA ANÁLISIS Y RECUPERACIÓN DE IMÁGENES WEB. S Rodríguez-Vaamonde, AI Torre-Bastida, E Garrote El profesional de la información 23 (6), 2014 | 3 | 2014 |
| Automated home-cage behavioral phenotyping of mice T Serre, H Jhuang, E Garrote, X Yu, V Khilnani, T Poggio, AD Steele Nature, 2009 | 3 | 2009 |
| Using virtual reality for gesture and vocal interface validation in industrial environments JDG de Segura, R Peral, S Sillaurren, E Garrote, B Sierra 17th International Conference on Artificial Reality and Telexistence (ICAT …, 2007 | 3 | 2007 |
| Automated home-cage behavioral phenotyping of mice X Yu, AD Steele, V Khilnani, E Garrote, H Jhuang, T Serre, T Poggio | 2 | 2009 |
| Detección de fibrilación ventricular mediante técnicas de aprendizaje profundo A Picon, U Irusta Zarandona, A Alvarez-Gila, E Aramendi Ecenarro, ... | 1 | 2018 |
| Plataforma de búsqueda de imágenes histológicas por similitud visual CL Saratxaga, A Picón, S Rodríguez-Vaamonde, Á López-Carrera, ... XVII Congreso nacional de informáfica de la salud. http://www …, 2014 | 1 | 2014 |
| Vision-Based Recognition of Mice Home-Cage Behaviors H Jhuang, E Garrote, N Edelman, T Poggio, A Steele, T Serre Nat. Commun. 1, 1-4, 2010 | 1 | 2010 |
| Self-supervised blur detection from synthetically blurred scenes A Alvarez-Gila, A Galdran, E Garrote, J Van de Weijer Image and Vision Computing 92, 103804, 2019 | | 2019 |
