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1 red by surface electromyography from leg and paraspinal muscles.
2 excellent reliability for segmenting lumbar paraspinal muscles.
3 so displayed abnormal Urotensin signaling in paraspinal muscles.
4 ion of distal and upper posterior leg and of paraspinal muscles.
6 CNN for the automatic segmentation of lumbar paraspinal muscles and determined the impact of CNN arch
7 one mineral density, abdominal fat area, and paraspinal muscle area were inversely associated with sk
8 Bone mineral density and abdominal fat and paraspinal muscle areas were quantified with quantitativ
10 ctly parallel, in plane, or perpendicular to paraspinal muscle fibers; in kidney tissue, in the corte
13 (13 x 5) placed bilaterally over the lumbar paraspinal muscles in individuals with and without LBP a
14 Conclusion MRI-based volumetric analysis of paraspinal muscles in patients with TBPI accurately dist
15 recise understanding of the behaviour of the paraspinal muscles in people with low back pain (LBP); b
16 es to noxious mechanical stimulation of deep paraspinal muscles increased after MO application (P < 0
19 Our case describes rhabdomyolysis of the paraspinal muscles occurring after acute type A aortic d
20 ne fragments) approximately 7 cm deep in the paraspinal muscles of nine Yorkshire pigs by using each
21 patients with genetically documented SMA and paraspinal muscle samples from 3 patients with SMA-II un
24 nt ischemia causes edema and necrosis of the paraspinal muscles, subsequently increasing the pressure
25 dard for muscle mass was quantified with the paraspinal muscle surface area at the L4 vertebrae in th
26 Purpose To develop a diagnostic system using paraspinal muscle volumetric segmentation in MRI assessm