Alves, Victor

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Number of items: 5.

Journal Article

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

Winzeck, Stefan; Hakim, Arsany; McKinley, Richard; Pinto, José A A D S R; Alves, Victor; Silva, Carlos; Pisov, Maxim; Krivov, Egor; Belyaev, Mikhail; Monteiro, Miguel; Oliveira, Arlindo; Choi, Youngwon; Paik, Myunghee Cho; Kwon, Yongchan; Lee, Hanbyul; Kim, Beom Joon; Won, Joong-Ho; Islam, Mobarakol; Ren, Hongliang; Robben, David; ... (2018). ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI. Frontiers in neurology, 9(679), p. 679. Frontiers Media S.A. 10.3389/fneur.2018.00679

Pinto, Adriano; McKinley, Richard; Alves, Victor; Wiest, Roland; Silva, Carlos A; Reyes, Mauricio (2018). Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information. Frontiers in neurology, 9(1060), p. 1060. Frontiers Media S.A. 10.3389/fneur.2018.01060

Conference or Workshop Item

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

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