The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters

@article{zucchelli2016,
  title = {The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters},
  author = {Mauro Zucchelli and Maryam Afzali and Cem Yolcu and Carl-Fredrik Westin and Gloria Menegaz and Evren Özarslan},
  journal = {ISBI},
  year = {2016},
  month = {Jan},
  doi = {10.1109/isbi.2016.7493456},
  url = {https://doi.org/10.1109/isbi.2016.7493456},
}

Mauro Zucchelli et al. (2016). The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters. ISBI. https://doi.org/10.1109/isbi.2016.7493456

Mauro Zucchelli, et al.. "The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters." ISBI, 2016, https://doi.org/10.1109/isbi.2016.7493456.

Mauro Zucchelli, et al.. "The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters." ISBI (2016). https://doi.org/10.1109/isbi.2016.7493456

Mauro Zucchelli et al., 2016. The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters. ISBI. Available at: <https://doi.org/10.1109/isbi.2016.7493456>.

TY  - JOUR
TI  - The confinement tensor model improves characterization of diffusion-weighted magnetic resonance data with varied timing parameters
AU  - Mauro Zucchelli
AU  - Maryam Afzali
AU  - Cem Yolcu
AU  - Carl-Fredrik Westin
AU  - Gloria Menegaz
AU  - Evren Özarslan
PY  - 2016
JO  - ISBI
DO  - 10.1109/isbi.2016.7493456
UR  - https://doi.org/10.1109/isbi.2016.7493456
ER  -