Ungan, G.; Pons-Escoda, A.; Ulinic, D.; Arús, C.; Vellido, A.; Julià -Sapé, M.
Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study. Cancers 2023, 15, 3709.
https://doi.org/10.3390/cancers15143709
AMA Style
Ungan G, Pons-Escoda A, Ulinic D, Arús C, Vellido A, Julià -Sapé M.
Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study. Cancers. 2023; 15(14):3709.
https://doi.org/10.3390/cancers15143709
Chicago/Turabian Style
Ungan, Gülnur, Albert Pons-Escoda, Daniel Ulinic, Carles Arús, Alfredo Vellido, and Margarida Julià -Sapé.
2023. "Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study" Cancers 15, no. 14: 3709.
https://doi.org/10.3390/cancers15143709
APA Style
Ungan, G., Pons-Escoda, A., Ulinic, D., Arús, C., Vellido, A., & Julià -Sapé, M.
(2023). Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study. Cancers, 15(14), 3709.
https://doi.org/10.3390/cancers15143709