Machine Learning Analysis of Single-Voxel Proton MR Spectroscopy for Differentiating Solitary Fibrous Tumors and Meningiomas
Early pseudoprogression and progression lesions in glioblastoma patients are both metabolically heterogeneous
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology


Using Single-Voxel Magnetic Resonance Spectroscopy Data Acquired at 1.5T to Classify Multivoxel Data at 3T: A Proof-of-Concept Study
A comparison of non-negative matrix underapproximation methods for the decomposition of magnetic resonance spectroscopy data from human brain tumors

Cancer metabolism in a snapshot- MRS(I)

Extraction of artefactual MRS patterns from a large database using non-negative matrix factorization