publicações selecionadas
-
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
- 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. Astronomy and Astrophysics. 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
-
livro
- Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment 2018
- Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment 2018
- Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction 2018