publicações selecionadas
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artigo de revista
- Combining unsupervised and supervised learning for predicting the final stroke lesion. European Journal of Operational Research. 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
- On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiology: Artificial Intelligence. 2020
- Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. European Journal of Operational Research. 2018
- ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI. Frontiers in Neurology. 2018
- Stroke lesion outcome prediction based on MRI imaging combined with clinical information. Frontiers in Neurology. 2018
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livro