Umeå University
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Staff photo Robin Rohlén

Robin Rohlén

My research is about developing new methods to use ultrasound to identity and analyse motor units in skeletal muscle tissue.

Contact

E-mail
robin.rohlen@umu.se
Phone

Works at

Affiliation
Affiliated as other position at Department of Radiation Sciences
Location
10c, Målpunkt E03, Norrlands universitetssjukhus Umeå universitet, 901 87 Umeå
Modelling intra-muscular contraction dynamics using in silico to in vivo domain translation
Biomedical engineering online, BioMed Central 2022, Vol. 21, (1)
Ali, Hazrat; Umander, Johannes; Rohlén, Robin; et al.
Identification of motor units using ultrasound – From muscle to neural interface
RehabWeek, Rotterdam,The Netherlands, July 25-29, 2022
Rohlén, Robin
Comparison of decomposition algorithms for identification of single motor units in ultrafast ultrasound image sequences of low force voluntary skeletal muscle contractions
BMC Research Notes
Rohlén, Robin; Yu, Jun; Grönlund, Christer
Identification of single motor units in ultrafast ultrasound image sequences of voluntary skeletal muscle contractions
Umeå University medical dissertations, 2127
Rohlén, Robin
A Deep Learning Pipeline for Identification of Motor Units in Musculoskeletal Ultrasound
IEEE Access, IEEE 2020, Vol. 8 : 170595-170608
Ali, Hazrat; Umander, Johannes; Rohlén, Robin; et al.
Identification of single motor units in skeletal muscle under low force isometric voluntary contractions using ultrafast ultrasound
Scientific Reports, Springer Nature 2020, Vol. 10
Rohlén, Robin; Stålberg, Erik; Grönlund, Christer
A Method for Identification of Mechanical Response of Motor Units in Skeletal Muscle Voluntary Contractions using Ultrafast Ultrasound Imaging: Simulations and Experimental Tests
IEEE Access, IEEE 2020, Vol. 8 : 50299-50311
Rohlén, Robin; Stålberg, Erik; Stoverud, Karen-Helene; et al.
Imaging recruitment of motor units in voluntary skeletal muscle contractions using decomposition and ultrafast ultrasound imaging: A pilot study
2020 ISEK Virtual Congress Poster Abstract Booklet, International Society of Electrophysiology and Kinesiology 2020 : 141-142
Rohlén, Robin; Stålberg, Erik; Yu, Jun; et al.
Ultrafast Ultrasound Imaging of Motor Units in Skeletal Muscle during Voluntary Contractions – A Pilot Validation Study by using Needle-EMG
41st International Engineering in Medicine and Biology Conference, Berlin, Germany, July 23-27, 2019
Rohlén, Robin; Stålberg, Erik; Grönlund, Christer
Ultrasound-based Imaging of Motor Units in Skeletal Muscle Tissue
Medicinteknikdagarna 2018, 9-10 oktober, Umeå
Rohlén, Robin; Stålberg, Erik; Stoverud, Karen-Helene; et al.
Segmentation of Motor Unit Territories in Ultrasound Image Sequences of Contracting Skeletal Muscle Tissue
Medicinteknikdagarna 2017, 10-11 oktober, Västerås
Rohlén, Robin; Stoverud, Karen-Helene; Yu, Jun; et al.
Segmentation of motor units in ultrasound image sequences
Rohlén, Robin
A Statistical Analysis of Muscle Fiber Area
Rohlén, Robin
Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units
Rohlén, Robin; Antfolk, Christian; Grönlund, Christer
Estimation of motor unit contractile properties in voluntary contractions of a skeletal muscle obtained by ultrafast ultrasound
Rohlén, Robin; Raikova, Rositsa; Stålberg, Erik; et al.
View publications in DiVA

Research groups

Group member
Statistical Learning and Inference for Spatio-Temporal Data

Research projects

1 January 2016 until 31 December 2024
Pioneering ultrasound imaging methods for neuromuscular diagnostics