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Connection

Keigo Kawaji to Data Compression

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This is a "connection" page, showing publications Keigo Kawaji has written about Data Compression.
Keigo Kawaji
Connection Strength
0.127
Data Compression
  1. An augmented Lagrangian based compressed sensing reconstruction for non-Cartesian magnetic resonance imaging without gridding and regridding at every iteration. PLoS One. 2014; 9(9):e107107.
    View in: PubMed
    Score: 0.127
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.