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Stefan Bluml

Researcher at Children's Hospital Los Angeles

Publications -  137
Citations -  5787

Stefan Bluml is an academic researcher from Children's Hospital Los Angeles. The author has contributed to research in topics: Magnetic resonance imaging & In vivo magnetic resonance spectroscopy. The author has an hindex of 42, co-authored 131 publications receiving 5224 citations. Previous affiliations of Stefan Bluml include University of Southern California & University of California, San Diego.

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Journal ArticleDOI

Magnetic resonance spectroscopy of the human brain

TL;DR: Practical aspects of in vivo MRS are described with particular emphasis on the brain, where novel metabolites have been described and add a new dimension to anatomic and histopathologic descriptions.
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Expression of Heme Oxygenase-1 in Human Vascular Cells Is Regulated by Peroxisome Proliferator-Activated Receptors

TL;DR: It is demonstrated that HO-1 expression is transcriptionally regulated by PPAR &agr; and PPAR&ggr;, indicating a mechanism of anti-inflammatory and antiproliferative action of PPAR ligands via upregulation ofHO-1.
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1H MRS in acute traumatic brain injury.

TL;DR: There was a strong correlation between MRS and outcome and future prospective studies will be needed to determine the clinical usefulness of MRS in predicting outcome from closed head injury.
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Three-point technique of fat quantification of muscle tissue as a marker of disease progression in Duchenne muscular dystrophy: preliminary study.

TL;DR: Muscle adiposity values obtained with three-point Dixon MRI are accurate in assessment of disease severity in patients with Duchenne muscular dystrophy because they are not influenced by patient effort or examiner variability, and more objective and reproducible than measurements of muscle strength.
Journal Article

Quantitative Short Echo Time 1H-MR Spectroscopy of Untreated Pediatric Brain Tumors: Preoperative Diagnosis and Characterization

TL;DR: Quantitative proton MR spectroscopy reveals features of pediatric brain tumors that are likely to improve preoperative diagnoses and to describe metabolic features that distinguish individual tumor types and that may help to improvePreoperative diagnosis of specific tumors.