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Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification.

, , , , and . BIOSIGNALS, page 176-181. SciTePress, (2011)

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Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification., , , , and . BIOSIGNALS, page 176-181. SciTePress, (2011)Quantitative evaluation of MRI-based tracking of ferritin-labeled endogenous neural stem cell progeny in rodent brain., , , , , , , , , and 1 other author(s). NeuroImage, 62 (1): 367-380 (2012)A responsive MRI contrast agent to monitor functional cell status., , , , , , and . NeuroImage, 32 (3): 1142-1149 (2006)Impact of RF inhomogeneity correction on image registration of micro MRI rodent brain images., , , , , , and . ISBI, page 570-573. IEEE, (2011)Corrections to Ünsupervised Nosologic Imaging for Glioma Diagnosis"., , , , , , , and . IEEE Trans. Biomed. Eng., 62 (8): 2091 (2015)Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features., , , , , , and . ESANN, (2017)Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging., , , , , and . IEEE Trans. Biomed. Eng., 66 (2): 584-594 (2019)Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization., , , , , and . BIOSIGNALS, page 212-217. SciTePress, (2012)Unsupervised Nosologic Imaging for Glioma Diagnosis., , , , , , , and . IEEE Trans. Biomed. Eng., 60 (6): 1760-1763 (2013)Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization., , , , , and . BIOSIGNALS, page 25-31. SciTePress, (2012)