| Identification of single motor units in skeletal muscle under low force isometric voluntary contractions using ultrafast ultrasound R Rohlén, E Stålberg, C Grönlund Scientific Reports 10 (1), 1-11, 2020 | 28 | 2020 |
| A method for identification of mechanical response of motor units in skeletal muscle voluntary contractions using ultrafast ultrasound imaging—simulations and experimental tests R Rohlén, E Stålberg, KH Stöverud, J Yu, C Grönlund IEEE Access 8, 50299-50311, 2020 | 25 | 2020 |
| A deep learning pipeline for identification of motor units in musculoskeletal ultrasound H Ali, J Umander, R Rohlén, C Grönlund IEEE Access 8, 170595-170608, 2020 | 13 | 2020 |
| Comparison of decomposition algorithms for identification of single motor units in ultrafast ultrasound image sequences of voluntary skeletal muscle contractions R Rohlén, J Yu, C Grönlund BMC Research Notes 15 (1), 1-7, 2022 | 8 | 2022 |
| Estimation of contractile parameters of successive twitches in unfused tetanic contractions of single motor units–A proof-of-concept study using ultrafast ultrasound imaging in … R Rohlén, R Raikova, E Stålberg, C Grönlund Journal of Electromyography and Kinesiology 67, 102705, 2022 | 6 | 2022 |
| Modelling intra-muscular contraction dynamics using in silico to in vivo domain translation H Ali, J Umander, R Rohlén, O Röhrle, C Grönlund BioMedical Engineering OnLine 21, 1-19, 2022 | 6 | 2022 |
| Non-linearity in motor unit velocity twitch dynamics: Implications for ultrafast ultrasound source separation E Lubel, B Grandi Sgambato, R Rohlén, J Ibanez, D Barsakcioglu, ... bioRxiv, 2023.03. 24.533983, 2023 | 5 | 2023 |
| Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units R Rohlén, C Antfolk, C Grönlund Journal of Electromyography and Kinesiology 67, 102714, 2022 | 5 | 2022 |
| Spatial decomposition of ultrafast ultrasound images to identify motor unit activity–A comparative study with intramuscular and surface EMG R Rohlén, E Lubel, BG Sgambato, C Antfolk, D Farina Journal of Electromyography and Kinesiology 73, 102825, 2023 | 3 | 2023 |
| A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics R Rohlén, J Lundsberg, N Malesevic, C Antfolk Journal of Neural Engineering 20 (3), 1-9, 2023 | 3 | 2023 |
| Spatially repeatable components from ultrafast ultrasound are associated with motor unit activity in human isometric contractions R Rohlén, M Carbonaro, GL Cerone, KM Meiburger, A Botter, C Grönlund bioRxiv, 2023.04. 17.537211, 2023 | 3 | 2023 |
| Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separation R Rohlén, J Lundsberg, C Antfolk BioMedical Engineering OnLine 22, 2023 | 2 | 2023 |
| Accurate Identification of Motoneuron Discharges from Ultrasound Images Across the Full Muscle Cross-Section E Lubel, R Rohlén, BG Sgambato, DY Barsakcioglu, J Ibáñez, MX Tang, ... IEEE Transactions on Biomedical Engineering, 2023 | 1 | 2023 |
| Identification of single motor units in ultrafast ultrasound image sequences of voluntary skeletal muscle contractions R Rohlén Umeå universitet, 2021 | 1 | 2021 |
| Segmentation of motor units in ultrasound image sequences R Rohlén | 1 | 2016 |
| Identification of motor unit discharges from ultrasound images: Analysis of in silico and in vivo experiments R Rohlén, E Lubel, D Farina bioRxiv, 2024.01. 18.576300, 2024 | | 2024 |
| Interframe Echo Intensity Variation of Subregions and Whole Plaque in Two‐Dimensional Carotid Ultrasonography: Simulations and In Vivo Observations R Rohlén, B Jiang, E Nyman, P Wester, U Näslund, C Grönlund Journal of Ultrasound in Medicine 42 (5), 1033-1046, 2023 | | 2023 |
| Quantifying the spatial distribution of individual muscle units using high-density surface EMG and ultrafast ultrasound R Rohlén, M Carbonaro, A Botter, C Grönlund, C Antfolk ECSS Paris 2023, The 28th Annual Congress of the European College of Sport …, 2023 | | 2023 |
| Combining high-density electromyography and ultrafast ultrasound to assess individual motor unit properties in vivo M Carbonaro, R Rohlen, S Seoni, K Meiburger, T Vieira, C Gronlund, ... bioRxiv, 2023.07. 03.547503, 2023 | | 2023 |
| Spatial decomposition of ultrafast ultrasound images to identify motor unit activity–A validation study using intramuscular and surface EMG R Rohlén, E Lubel, B Grandi Sgambato, C Antfolk, D Farina bioRxiv, 2023.06. 21.545924, 2023 | | 2023 |
