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Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images., , , and . IEEE Trans. Med. Imaging, 35 (5): 1240-1251 (2016)Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI., , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 706-714. Springer, (2018)Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features., , , , , and . EMBC, page 3037-3040. IEEE, (2015)A Fully Automatic Tool for Counting Virchow-Robin Spaces in Magnetic Resonance Imaging for Lacunar Stroke Study., , , , and . BIOIMAGING, page 69-75. SciTePress, (2015)Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction., , , , , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 107-115. Springer, (2018)MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans., , , , , , , , , and 20 other author(s). Comput. Intell. Neurosci., (2015)Sparse high order potentials for extending multi-surface segmentation of OCT images with drusen., , , , and . EMBC, page 2952-2955. IEEE, (2015)Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks., , , , , and . IEEE Trans. Med. Imaging, 38 (12): 2914-2925 (2019)Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI., , , and . Brainles@MICCAI, volume 9556 of Lecture Notes in Computer Science, page 131-143. Springer, (2015)A middleware for intelligent environments in ambient assisted living., , , , and . EMBC, page 5924-5927. IEEE, (2014)