| Automatic sleep staging: a computer assisted approach for optimal combination of features and polysomnographic channels S Khalighi, T Sousa, G Pires, U Nunes Expert Systems with Applications 40 (17), 7046-7059, 2013 | 49 | 2013 |
| Efficient feature selection for sleep staging based on maximal overlap discrete wavelet transform and SVM S Khalighi, T Sousa, D Oliveira, G Pires, U Nunes 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 34 | 2011 |
| ISRUC-Sleep: A comprehensive public dataset for sleep researchers S Khalighi, T Sousa, JM Santos, U Nunes Computer methods and programs in biomedicine 124, 180-192, 2016 | 25 | 2016 |
| A two-step automatic sleep stage classification method with dubious range detection T Sousa, A Cruz, S Khalighi, G Pires, U Nunes Computers in biology and medicine 59, 42-53, 2015 | 25 | 2015 |
| Adaptive automatic sleep stage classification under covariate shift S Khalighi, T Sousa, U Nunes Engineering in Medicine and Biology Society (EMBC), 2012 Annual …, 2012 | 15 | 2012 |
| Visual motion imagery neurofeedback based on the hMT+/V5 complex: evidence for a feedback-specific neural circuit involving neocortical and cerebellar regions P Banca, T Sousa, IC Duarte, M Castelo-Branco Journal of Neural Engineering 12 (6), 066003, 2015 | 14 | 2015 |
| Control of Brain Activity in hMT+/V5 at Three Response Levels Using fMRI-Based Neurofeedback/BCI T Sousa, B Direito, J Lima, C Ferreira, U Nunes, M Castelo-Branco PloS one 11 (5), e0155961, 2016 | 7 | 2016 |
| Pure visual imagery as a potential approach to achieve three classes of control for implementation of BCI in non-motor disorders T Sousa, C Amaral, J Andrade, G Pires, UJ Nunes, M Castelo-Branco Journal of Neural Engineering 14 (4), 046026, 2017 | 4 | 2017 |
| Neurophysiologic and Statistical Analysis of Failures in Automatic Sleep Stage Classification. T Sousa, D Oliveira, S Khalighi, G Pires, U Nunes BIOSIGNALS, 423-428, 2012 | 3 | 2012 |
| The impact of rhythms analysis technique on electrographic seizure detection (EEG) T Sousa, P Mendes, J Ribeiro 2012 IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG), 1-5, 2012 | 1 | 2012 |
| Investigating Whole-Brain MRI Markers in Multiple Sclerosis–Emerging Dimensions in Morphometric Space J Soares, T Sousa, OC d’Almeida, S Batista, L Sousa, M Castelo-Branco, ... Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019 | | 2019 |
| Targeting dynamic facial processing mechanisms in superior temporal sulcus using a novel fMRI neurofeedback target B Direito, J Lima, M Simões, A Sayal, T Sousa, M Luehrs, C Ferreira, ... Neuroscience, 2019 | | 2019 |
| Tracking perceptual decision mechanisms through changes in interhemispheric functional connectivity in human visual cortex T Sousa, JV Duarte, GN Costa, VG Kemper, R Martins, R Goebel, ... Scientific Reports 9, 1242, 2019 | | 2019 |
| Evidence for distinct levels of neural adaptation to both coherent and incoherently moving visual surfaces in visual area hMT+ T Sousa, AS Campos, JV Duarte, GN Costa, R Martins, M Castelo-Branco NeuroImage, 2018 | | 2018 |
| From parametric decoding of simple mental states to neurofeedback: insights into the neuroscience of cognitive control T Sousa University of Coimbra, 2016 | | 2016 |
| The impact of rhythms analysis technique on electrographic seizure detection T Sousa University of Minho, 2010 | | 2010 |
Urbano José C. NunesProfessor, Electrical and Computer Engineering Dept., University of CoimbraEmail confirmado em deec.uc.pt
