Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency

@article{ravano2022,
  title = {Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency},
  author = {Veronica Ravano and Jean-François Démonet and Daniel Damian and Reto Meuli and Gian Franco Piredda and Till Huelnhagen and Bénédicte Maréchal and Jean-Philippe Thiran and Tobias Kober and Jonas Richiardi},
  journal = {MLCN@MICCAI},
  year = {2022},
  month = {Jan},
  doi = {10.1007/978-3-031-17899-3_9},
  url = {https://doi.org/10.1007/978-3-031-17899-3_9},
}

Veronica Ravano et al. (2022). Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. MLCN@MICCAI. https://doi.org/10.1007/978-3-031-17899-3_9

Veronica Ravano, et al.. "Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency." MLCN@MICCAI, 2022, https://doi.org/10.1007/978-3-031-17899-3_9.

Veronica Ravano, et al.. "Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency." MLCN@MICCAI (2022). https://doi.org/10.1007/978-3-031-17899-3_9

Veronica Ravano et al., 2022. Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. MLCN@MICCAI. Available at: <https://doi.org/10.1007/978-3-031-17899-3_9>.

TY  - JOUR
TI  - Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency
AU  - Veronica Ravano
AU  - Jean-François Démonet
AU  - Daniel Damian
AU  - Reto Meuli
AU  - Gian Franco Piredda
AU  - Till Huelnhagen
AU  - Bénédicte Maréchal
AU  - Jean-Philippe Thiran
AU  - Tobias Kober
AU  - Jonas Richiardi
PY  - 2022
JO  - MLCN@MICCAI
DO  - 10.1007/978-3-031-17899-3_9
UR  - https://doi.org/10.1007/978-3-031-17899-3_9
ER  -