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Pinto, Adriano; Pereira, Sérgio; Meier, Raphael; Wiest, Roland; Alves, Victor; Reyes, Mauricio; Silva, Carlos A (2021). Combining unsupervised and supervised learning for predicting the final stroke lesion. Medical image analysis, 69(101888), p. 101888. Elsevier 10.1016/j.media.2020.101888
Reyes, Mauricio; Meier, Raphael; Pereira, Sérgio; Silva, Carlos A; Dahlweid, Fried-Michael; von Tengg-Kobligk, Hendrik; Summers, Ronald M; Wiest, Roland (2020). On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities. Radiology: artificial intelligence, 2(3), e190043. Radiological Society of North America 10.1148/ryai.2020190043
Pereira, Sérgio; Meier, Raphael; McKinley, Richard; Wiest, Roland; Alves, Victor; Silva, Carlos A; Reyes, Mauricio (2018). Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation. Medical image analysis, 44, pp. 228-244. Elsevier 10.1016/j.media.2017.12.009
Pinto, Adriano; Pereira, Sérgio; Meier, Raphael; Alves, Victor; Wiest, Roland; Silva, Carlos A.; Reyes, Mauricio (2018). Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction. In: Frangi, Alejandro F.; Schnabel, Julia A.; Davatzikos, Christos; Alberola-López, Carlos; Fichtinger, Gabor (eds.) Medical Image Computing and Computer Assisted Interventions. Lecture Notes in Computer Science: Vol. 11072 (pp. 107-115). Cham: Springer International Publishing 10.1007/978-3-030-00931-1_13
Pereira, Sérgio; Meier, Raphael; Alves, Victor; Reyes, Mauricio; Silva, Carlos A. (2018). Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment. In: Understanding and Interpreting Machine Learning in Medical Image Computing Applications. Lecture Notes in Computer Science: Vol. 11038 (pp. 106-114). Cham: Springer International Publishing 10.1007/978-3-030-02628-8_12
