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Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

, , , and . IEEE Trans. Med. Imaging, 35 (5): 1240-1251 (2016)

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Instantiation of a Classification System Framework that Facilitates Reuse., , , and . J. Softw., 2 (4): 57-69 (2007)Prediction of Stroke Lesion at 90-Day Follow-Up by Fusing Raw DSC-MRI With Parametric Maps Using Deep Learning., , , , , and . IEEE Access, (2021)Application-level fault tolerance in real-time embedded systems., , , and . SIES, page 126-133. IEEE, (2008)Design and characterization of a multiplexed capillary-driven lab-on-chip for water quality analysis., , and . MeMeA, page 340-345. IEEE, (2014)Integratable capacitive bubble counter for lab-on-chip devices., , and . MeMeA, page 253-257. IEEE, (2014)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)Optimization of power flow with energy storage using genetic algorithms., , , and . IEEE Congress on Evolutionary Computation, page 2678-2684. IEEE, (2014)MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans., , , , , , , , , and 20 other author(s). Comput. Intell. Neurosci., (2015)A dataflow execution engine for automatic visual inspection of production lines., , , , , and . IECON, page 1-6. IEEE, (2022)Blind source separation by independent component analysis applied to electroencephalographic signals., , , and . MAVEBA, page 99-102. Firenze University Press / ISCA, (2003)