Harvard Catalyst Profiles

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Borjan Gagoski, Ph.D.

Co-Author

This page shows the publications co-authored by Borjan Gagoski and Berkin Bilgic.
Connection Strength

0.960
  1. Wave-CAIPI for highly accelerated MP-RAGE imaging. Magn Reson Med. 2018 Jan; 79(1):401-406.
    View in: PubMed
    Score: 0.179
  2. Single-step quantitative susceptibility mapping with variational penalties. NMR Biomed. 2017 Apr; 30(4).
    View in: PubMed
    Score: 0.171
  3. RARE/turbo spin echo imaging with Simultaneous Multislice Wave-CAIPI. Magn Reson Med. 2015 Mar; 73(3):929-938.
    View in: PubMed
    Score: 0.156
  4. Wave-CAIPI for highly accelerated 3D imaging. Magn Reson Med. 2015 Jun; 73(6):2152-62.
    View in: PubMed
    Score: 0.149
  5. Lipid suppression in CSI with spatial priors and highly undersampled peripheral k-space. Magn Reson Med. 2013 Jun; 69(6):1501-11.
    View in: PubMed
    Score: 0.130
  6. Correction of magnetic field inhomogeneity effects for fast quantitative susceptibility mapping. Magn Reson Med. 2019 03; 81(3):1645-1658.
    View in: PubMed
    Score: 0.050
  7. Autocalibrated wave-CAIPI reconstruction; Joint optimization of k-space trajectory and parallel imaging reconstruction. Magn Reson Med. 2017 09; 78(3):1093-1099.
    View in: PubMed
    Score: 0.044
  8. Simultaneous multislice magnetic resonance fingerprinting (SMS-MRF) with direct-spiral slice-GRAPPA (ds-SG) reconstruction. Magn Reson Med. 2017 05; 77(5):1966-1974.
    View in: PubMed
    Score: 0.043
  9. Accelerated 1 H MRSI using randomly undersampled spiral-based k-space trajectories. Magn Reson Med. 2015 Jul; 74(1):13-24.
    View in: PubMed
    Score: 0.038
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.