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DNA-methylation subgroups carry no prognostic significance in ATRT-SHH patients in clinical trial cohorts.
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- Acta Neuropathologica, 2023, v. 146, n. 3, p. 543, doi. 10.1007/s00401-023-02614-9
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- Article
A State-of-the-Art Survey on Deep Learning Theory and Architectures.
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- Electronics (2079-9292), 2019, v. 8, n. 3, p. 292, doi. 10.3390/electronics8030292
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- Article
Inception recurrent convolutional neural network for object recognition.
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- Machine Vision & Applications, 2021, v. 32, n. 1, p. 1, doi. 10.1007/s00138-020-01157-3
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- Article
Improved inception-residual convolutional neural network for object recognition.
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- Neural Computing & Applications, 2020, v. 32, n. 1, p. 279, doi. 10.1007/s00521-018-3627-6
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- Article
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.
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- Journal of Digital Imaging, 2019, v. 32, n. 4, p. 605, doi. 10.1007/s10278-019-00182-7
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- Article
Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors.
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- BMC Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12859-022-04764-1
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- Article
Fractal, recurrent, and dense U-Net architectures with EfficientNet encoder for medical image segmentation.
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- Journal of Medical Imaging, 2022, v. 9, n. 6, p. 64004, doi. 10.1117/1.JMI.9.6.064004
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- Article
Recurrent residual U-Net for medical image segmentation.
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- Journal of Medical Imaging, 2019, v. 6, n. 1, p. 014006-1, doi. 10.1117/1.JMI.6.1.014006
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- Article
Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks.
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- Computational Intelligence & Neuroscience, 2018, p. 1, doi. 10.1155/2018/6747098
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- Article