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Supplementary Data for the Paper: “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data”

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DataCite Commons2026-05-05 更新2026-05-06 收录
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https://tore.tuhh.de/handle/11420/59320
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资源简介:
This dataset provides the materials necessary to reproduce the paper “Deep Learning for Restoring MPI System Matrices Using Simulated Training Data.” It includes the simulation parameters used to generate a dataset of simulated system matrices, the corresponding noise, the trained models, and the real measurements used for validation. The code is available at: github.com/IBIResearch/mpi-sm-restoration.
提供机构:
TUHH Universitätsbibliothek
创建时间:
2025-12-11
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