Data | Título | Autor(es) | Tipo | Acesso |
2018 | Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment | Pereira, Sérgio; Meier, Raphael; Alves, Victor, et al. | Artigo em ata de conferência | Acesso restrito UMinho |
2021 | Combining unsupervised and supervised learning for predicting the final stroke lesion | Pinto, Adriano; Pereira, Sérgio; Meier, Raphael, et al. | Artigo | Acesso restrito UMinho |
2018 | Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation | Pereira, Sérgio; Meier, Raphael; McKinley, Richard, et al. | Artigo | Acesso restrito UMinho |
2018 | ISLES 2016 and 2017-Benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI | Winzeck, Stefan; Hakim, Arsany; McKinley, Richard, et al. | Artigo | Acesso aberto |
2020 | On the interpretability of artificial intelligence in radiology: challenges and opportunities | Reyes, Mauricio; Meier, Raphael; Pereira, Sérgio, et al. | Artigo | Acesso restrito UMinho |
Jan-2021 | Prediction of stroke lesion at 90-Day follow-up by fusing raw DSC-MRI with parametric maps using Deep Learning | Pinto, Adriano; Amorim, Joana; Hakim, Arsany, et al. | Artigo | Acesso restrito UMinho |
2018 | Stroke lesion outcome prediction based on MRI imaging combined with clinical information | Pinto, Adriano; Mckinley, Richard; Alves, Victor, et al. | Artigo | Acesso aberto |