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Feature extraction using convolutional neural networks for multi-atlas based image segmentation., и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 1057439. SPIE, (2018)Functional brain atlas construction for brain network analysis., и . Medical Imaging: Image Processing, том 8669 из SPIE Proceedings, стр. 86690C. SPIE, (2013)Discriminant analysis of resting-state functional connectivity patterns on the Grassmann manifold., , , , , и . Medical Imaging: Image Processing, том 7623 из SPIE Proceedings, стр. 76231J. SPIE, (2010)Brain age prediction based on resting-state functional connectivity patterns using convolutional neural networks., , и . ISBI, стр. 101-104. IEEE, (2018)Transfer learning for diagnosis of congenital abnormalities of the kidney and urinary tract in children based on ultrasound imaging data., , и . ISBI, стр. 1487-1490. IEEE, (2018)Automatic Test Case Generation and Optimization Based on Mutation Testing., , , , и . QRS Companion, стр. 522-523. IEEE, (2019)An Improved Genetic Algorithm for Generation of Pairwise Combination Test Cases., , , и . ISCSIC, стр. 226-231. IEEE, (2022)The Parallel Genetic Algorithm for Electromagnetic Inverse Scattering of a Conductor., , и . Int. J. Comput. Math., 79 (5): 573-586 (2002)Subsequent Boundary Distance Regression and Pixelwise Classification Networks for Automatic Kidney Segmentation in Ultrasound Images., , , , , , , и . CoRR, (2018)Brain Decoding from Functional MRI Using Long Short-Term Memory Recurrent Neural Networks., и . MICCAI (3), том 11072 из Lecture Notes in Computer Science, стр. 320-328. Springer, (2018)