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For: Rohm M, Markmann M, Forsting J, Rehmann R, Froeling M, Schlaffke L. 3D Automated Segmentation of Lower Leg Muscles Using Machine Learning on a Heterogeneous Dataset. Diagnostics (Basel) 2021;11:1747. [PMID: 34679445 DOI: 10.3390/diagnostics11101747] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Forsting J, Rohm M, Froeling M, Güttsches A, Südkamp N, Roos A, Vorgerd M, Schlaffke L, Rehmann R. Quantitative muscle MRI captures early muscle degeneration in calpainopathy. Sci Rep 2022;12:19676. [DOI: 10.1038/s41598-022-23972-6] [Reference Citation Analysis]
2 Vegezzi E, Cortese A, Bergsland N, Mussinelli R, Paoletti M, Solazzo F, Currò R, Ascagni L, Callegari I, Quartesan I, Lozza A, Deligianni X, Santini F, Marchioni E, Cosentino G, Alfonsi E, Tassorelli C, Bastianello S, Merlini G, Palladini G, Obici L, Pichiecchio A. Muscle quantitative MRI as a novel biomarker in hereditary transthyretin amyloidosis with polyneuropathy: a cross-sectional study. J Neurol 2022. [PMID: 36064814 DOI: 10.1007/s00415-022-11336-z] [Reference Citation Analysis]
3 Ritsche P, Wirth P, Cronin NJ, Sarto F, Narici MV, Faude O, Franchi MV. DeepACSA: Automatic segmentation of anatomical cross-sectional area in ultrasound images of human lower limb muscles using deep learning.. [DOI: 10.1101/2021.12.27.21268258] [Reference Citation Analysis]