  | Wansard, M., Bartolomeo, P., Bastin, C., Segovia-Román, F., Gillet, S., Duret, C., & Meulemans, T. (2015). Support for distinct subcomponents of spatial working memory: A double dissociation between spatial-simultaneous and spatial-sequential performance in unilateral neglect. Cognitive Neuropsychology, 32 (1), 14-28. doi:10.1080/02643294.2014.995075  Peer Reviewed verified by ORBi |
  | Martínez-Murcia, F. J., Górriz, J. M., Ramírez, J., Salas-Gonzalez, D., & Segovia-Román, F. (09 July 2014). Projecting MRI brain images for the detection of Alzheimer’s Disease [Paper presentation]. KES Innovation in Medicine and Healthcare 2014, San Sebastian (Spain), Spain. doi:10.3233/978-1-61499-474-9-225 |
 | Segovia-Román, F., Bastin, C., Salmon, E., & Phillips, C. (June 2014). Combining neuropsychological and neuroimaging data to assist the early diagnosis of dementia [Poster presentation]. The 20th Annual Meeting of the Organization for Human Brain Mapping, Hamburg, Germany. |
 | Segovia-Román, F., Holt, R., Spencer, M., Górriz Sáez, J. M., Ramírez Pérez de Inestrosa, J., Puntonet, C. G., Phillips, C., Chura, L., Baron-Cohen, S., & Suckling, J. (June 2014). Identifying endophenotypes of autism: a multivariate approach. Frontiers in Computational Neuroscience, 8. doi:10.3389/fncom.2014.00060 Peer Reviewed verified by ORBi |
 | Segovia-Román, F., Bastin, C., Salmon, E., Górriz Sáez, J. M., Ramírez Pérez de Inestrosa, J., & Phillips, C. (13 February 2014). Combining PET images and neuropsychological test data for automatic diagnosis of Alzheimer’s disease. PLoS ONE, 9 (2). doi:10.1371/journal.pone.0088687 Peer Reviewed verified by ORBi |
 | Segovia-Román, F., & Phillips, C. (2014). PET imaging analysis using a parcelation approach and multiple kernel classification. In International Workshop on Pattern Recognition in Neuroimaging, Tübingen 4-6 June 2014. Peer reviewed |
 | Wansard, M., Meulemans, T., Gillet, S., Segovia-Román, F., Bastin, C., Toba, M. N., & Bartolomeo, P. (2014). Visual neglect: Is there a relationship between impaired spatial working memory and re-cancellation? Experimental Brain Research, 232 (10), 3333-3343. doi:10.1007/s00221-014-4028-4 Peer Reviewed verified by ORBi |
 | Segovia-Román, F., Álvarez Illán, I., Salas-Gonzalez, D., Martínez-Murcia, F. J., Phillips, C., García Puntonet, C., Ramírez Pérez de Inestrosa, J., & Górriz Sáez, J. M. (2014). PETRA: Multivariate analyses for neuroimaging data. In Proceeding of 2nd International Work-Conference on Bioinformatics and Biomedical Engineering. Peer reviewed |
 | Aly, M., Wansard, M., Segovia-Román, F., Yonelinas, A. P., & Bastin, C. (2014). Cortical and subcortical contributions to state- and strength-based perceptual judgments. Neuropsychologia, 64, 145-156. doi:10.1016/j.neuropsychologia.2014.09.025 Peer Reviewed verified by ORBi |
 | Segovia-Román, F., Bastin, C., Salmon, E., & Phillips, C. (2013). Classification of positron emission tomography images using multiple kernel learning. In Proceeding of 3rd NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging (pp. 1-7). Peer reviewed |
 | Segovia-Román, F., Bastin, C., Salmon, E., Górriz, J. M., Ramírez, J., & Phillips, C. (2013). Automatic differentiation between Alzheimer’s Disease and Mild Cognitive Impairment combining PET data and psychological scores. In 3rd International Workshop on Pattern Recognition in Neuroimaging (pp. 144-147). doi:10.1109/PRNI.2013.45 Peer reviewed |
 | Segovia-Román, F., Bastin, C., Salmon, E., & Phillips, C. (2013). Classification of MCI and AD patients combining PET data and psychological scores. In International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (pp. 97-98). Peer reviewed |