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Refinado por: assunto: datasets remover
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Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity
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Transcriptomic profiling of skeletal muscle adaptations to exercise and inactivity

Pillon, Nicolas J ; Gabriel, Brendan M ; Dollet, Lucile ; Smith, Jonathon A B ; Sardón Puig, Laura ; Botella, Javier ; Bishop, David J ; Krook, Anna ; Zierath, Juleen R

Nature communications, 2020-01, Vol.11 (1), p.470-470, Article 470 [Periódico revisado por pares]

England: Nature Publishing Group

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2
Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment
Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment
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Deep learning for automated segmentation of pelvic muscles, fat, and bone from CT studies for body composition assessment

Hemke, Robert ; Buckless, Colleen G. ; Tsao, Andrew ; Wang, Benjamin ; Torriani, Martin

Skeletal radiology, 2020-03, Vol.49 (3), p.387-395 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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3
Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG
Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG
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Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG

Zhang, Jie ; Zhao, Yihui ; Shone, Fergus ; Li, Zhenhong ; Frangi, Alejandro F. ; Xie, Sheng Quan ; Zhang, Zhi-Qiang

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.484-493 [Periódico revisado por pares]

United States: IEEE

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4
A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations
A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations
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A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations

De Micheli, Andrea J ; Spector, Jason A ; Elemento, Olivier ; Cosgrove, Benjamin D

Skeletal muscle, 2020-07, Vol.10 (1), p.19-19, Article 19 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
An epigenetic clock for human skeletal muscle
An epigenetic clock for human skeletal muscle
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An epigenetic clock for human skeletal muscle

Voisin, Sarah ; Harvey, Nicholas R. ; Haupt, Larisa M. ; Griffiths, Lyn R. ; Ashton, Kevin J. ; Coffey, Vernon G. ; Doering, Thomas M. ; Thompson, Jamie‐Lee M. ; Benedict, Christian ; Cedernaes, Jonathan ; Lindholm, Malene E. ; Craig, Jeffrey M. ; Rowlands, David S. ; Sharples, Adam P. ; Horvath, Steve ; Eynon, Nir

Journal of cachexia, sarcopenia and muscle, 2020-08, Vol.11 (4), p.887-898 [Periódico revisado por pares]

Germany: John Wiley & Sons, Inc

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6
Circular RNAs in Muscle Function and Disease
Circular RNAs in Muscle Function and Disease
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Circular RNAs in Muscle Function and Disease

Greco, Simona ; Cardinali, Beatrice ; Falcone, Germana ; Martelli, Fabio

International journal of molecular sciences, 2018-11, Vol.19 (11), p.3454 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
A classification of the plantar intrinsic foot muscles based on the physiological cross‐sectional area and muscle fiber length in healthy young adult males
A classification of the plantar intrinsic foot muscles based on the physiological cross‐sectional area and muscle fiber length in healthy young adult males
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A classification of the plantar intrinsic foot muscles based on the physiological cross‐sectional area and muscle fiber length in healthy young adult males

Kusagawa, Yuki ; Kurihara, Toshiyuki ; Maeo, Sumiaki ; Sugiyama, Takashi ; Kanehisa, Hiroaki ; Isaka, Tadao

Journal of foot and ankle research, 2023-11, Vol.16 (1), p.1-n/a [Periódico revisado por pares]

London: BioMed Central

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8
Quantification of muscle coordination underlying basic shoulder movements using muscle synergy extraction
Quantification of muscle coordination underlying basic shoulder movements using muscle synergy extraction
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Quantification of muscle coordination underlying basic shoulder movements using muscle synergy extraction

Umehara, Jun ; Yagi, Masahide ; Hirono, Tetsuya ; Ueda, Yasuyuki ; Ichihashi, Noriaki

Journal of biomechanics, 2021-05, Vol.120, p.110358-110358, Article 110358 [Periódico revisado por pares]

United States: Elsevier Ltd

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9
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions
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Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions

Weber, Kenneth A. ; Abbott, Rebecca ; Bojilov, Vivie ; Smith, Andrew C. ; Wasielewski, Marie ; Hastie, Trevor J. ; Parrish, Todd B. ; Mackey, Sean ; Elliott, James M.

Scientific reports, 2021-08, Vol.11 (1), p.16567-16567, Article 16567 [Periódico revisado por pares]

London: Nature Publishing Group

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10
Three‐dimensional chromatin re‐organization during muscle stem cell aging
Three‐dimensional chromatin re‐organization during muscle stem cell aging
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Three‐dimensional chromatin re‐organization during muscle stem cell aging

Yang, Benjamin A. ; Larouche, Jacqueline A. ; Sabin, Kaitlyn M. ; Fraczek, Paula M. ; Parker, Stephen C. J. ; Aguilar, Carlos A.

Aging cell, 2023-04, Vol.22 (4), p.e13789-n/a [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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