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      Synthesis of brain tumor multicontrast MR images for improved data augmentation

      1 , 1 , 1
      Medical Physics
      Wiley

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          U-Net: Convolutional Networks for Biomedical Image Segmentation

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            Image-to-Image Translation with Conditional Adversarial Networks

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              The WU-Minn Human Connectome Project: an overview.

              The Human Connectome Project consortium led by Washington University, University of Minnesota, and Oxford University is undertaking a systematic effort to map macroscopic human brain circuits and their relationship to behavior in a large population of healthy adults. This overview article focuses on progress made during the first half of the 5-year project in refining the methods for data acquisition and analysis. Preliminary analyses based on a finalized set of acquisition and preprocessing protocols demonstrate the exceptionally high quality of the data from each modality. The first quarterly release of imaging and behavioral data via the ConnectomeDB database demonstrates the commitment to making HCP datasets freely accessible. Altogether, the progress to date provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Journal
                Medical Physics
                Med. Phys.
                Wiley
                0094-2405
                2473-4209
                May 2021
                March 22 2021
                May 2021
                : 48
                : 5
                : 2185-2198
                Affiliations
                [1 ]School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon Korea
                Article
                10.1002/mp.14701
                33405244
                e7628baf-9817-42c4-832b-195e69dacbee
                © 2021

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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