publicações selecionadas
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artigo académico
- Combining unsupervised and supervised learning for predicting the final stroke lesion. Astronomy and Astrophysics. 2021
- Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI with Parametric Maps Using Deep Learning. IEEE Access. 2021
- Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI with Parametric Maps Using Deep Learning. IEEE Access. 2021
- Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks. Astronomy and Astrophysics. 2018
- Stroke lesion outcome prediction based on MRI imaging combined with clinical information. Frontiers in Neurology. 2018
- Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields. Journal of Neuroscience Methods. 2016
- Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images. Astronomy and Astrophysics. 2016
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artigo de conferência
- Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation. International Journal on Software Tools for Technology Transfer. 2021
- Segmentation squeeze-and-excitation blocks in stroke lesion outcome prediction 2019
- Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features. Proceedings of Annual International Conference of the IEEE Engineering in Medicine and Biology SocIETy. 2015
- Random decision forests for automatic brain tumor segmentation on multi-modal MRI images 2015
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documento
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livro