"False"
Umeå universitet
printicon
Huvudmenyn dold.

Fler publikationer

Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separation
Biomedical engineering online, BioMed Central (BMC) 2023, Vol. 22
Rohlén, Robin; Lundsberg, Jonathan; Antfolk, Christian
Nonlinear matrix recovery using optimization on the Grassmann manifold
Applied and Computational Harmonic Analysis, Elsevier 2023, Vol. 62 : 498-542
Goyens, Florentin; Cartis, Coralia; Eftekhari, Armin
Circulating Sex Hormone Levels and Colon Cancer Risk in Men: A Nested Case–Control Study and Meta-Analysis
Cancer Epidemiology, Biomarkers and Prevention, American Association for Cancer Research 2022, Vol. 31, (4) : 793-803
Harbs, Justin; Rinaldi, Sabina; Gicquiau, Audrey; et al.
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
Dyadic diagonalization of positive definite band matrices and efficient B-spline orthogonalization
Journal of Computational and Applied Mathematics, Elsevier 2022, Vol. 414
Liu, Xijia; Nassar, Hiba; Podgórski, Krzysztof
Estimation of block sparsity in compressive sensing
International Journal of Wavelets, Multiresolution and Information Processing, World Scientific 2022, Vol. 20, (06)
Zhou, Zhiyong; Yu, Jun
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 vivo
Journal of Electromyography & Kinesiology, Elsevier 2022, Vol. 67
Rohlén, Robin; Raikova, Rositsa; Stålberg, Erik; et al.
fdaMocca: Model-Based Clustering for Functional Data with Covariates. R package version 0.1-1
Pya Arnqvist, Natalya; Arnqvist, Per; Sjöstedt de Luna, Sara
fiberLD: Fiber Length Determination. R package version 0.1-7
Pya Arnqvist, Natalya; Sjöstedt de Luna, Sara; Abramowicz, Konrad
HiVG: A hierarchical indoor visibility-based graph for navigation guidance in multi-storey buildings
Computers, Environment and Urban Systems, Elsevier 2022, Vol. 93
Zhou, Zhiyong; Weibel, Robert; Richter, Kai-Florian; et al.
Identification of motor units using ultrasound – From muscle to neural interface
RehabWeek, Rotterdam,The Netherlands, July 25-29, 2022
Rohlén, Robin
Interframe Echo Intensity Variation of Subregions and Whole Plaque in Two-Dimensional Carotid Ultrasonography: Simulations and in Vivo Observations
Journal of ultrasound in medicine
Rohlén, Robin; Jiang, Biao; Nyman, Emma; et al.
Metabolism is a major driver of hydrogen isotope fractionation recorded in tree‐ring glucose of Pinus nigra
New Phytologist, John Wiley & Sons 2022, Vol. 234, (2) : 449-461
Wieloch, Thomas; Grabner, Michael; Augusti, Angela; et al.
Modelling intra-muscular contraction dynamics using in silico to in vivo domain translation
Biomedical engineering online, BioMed Central (BMC) 2022, Vol. 21, (1)
Ali, Hazrat; Umander, Johannes; Rohlén, Robin; et al.
Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor units
Journal of Electromyography & Kinesiology, Elsevier 2022, Vol. 67
Rohlén, Robin; Antfolk, Christian; Grönlund, Christer
Over-parametrized matrix factorization in the presence of spurious stationary points
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers (IEEE) 2022, Vol. 70 : 482-496
Eftekhari, Armin
Pridopidine modifies disease phenotype in a SOD1 mouse model of amyotrophic lateral sclerosis
European Journal of Neuroscience, John Wiley & Sons 2022, Vol. 55, (5) : 1356-1372
Estévez-Silva, Héctor M.; Mediavilla, Tomás; Giacobbo, Bruno Lima; et al.
scam: Shape constrained additive models. R package version 1.2-13
Pya Arnqvist, Natalya
Statistical learning for train delays and influence of winter climate and atmospheric icing
Wang, Jianfeng; Mantas-Nakhai, Roberto; Yu, Jun
A two-tiered targeted proteomics approach to identify pre-diagnostic biomarkers of colorectal cancer risk
Scientific Reports, Springer Nature 2021, Vol. 11, (1)
Harlid, Sophia; Harbs, Justin; Myte, Robin; et al.
Contrast Agent Quantification by Using Spatial Information in Dynamic Contrast Enhanced MRI
Frontiers in Signal Processing, Frontiers Media S.A. 2021, Vol. 1
Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.
Effects of winter climate on delays of high speed passenger trains in Botnia-Atlantica region
Journal of Rail Transport Planning & Management, Elsevier 2021, Vol. 18
Wang, Jianfeng; Granlöf, Markus; Yu, Jun
Efficient surface finish defect detection using reduced rank spline smoothers and probabilistic classifiers
Econometrics and Statistics, Elsevier 2021, Vol. 18 : 89-105
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Lindahl, Eric; et al.
Explicit stabilised gradient descent for faster strongly convex optimisation
BIT Numerical Mathematics, Springer 2021, Vol. 61 : 119-139
Eftekhari, Armin; Vandereycken, Bart; Vilmart, Gilles; et al.
fdaMocca: Model-Based Clustering for Functional Data with Covariates. R package version 0.1-0
Pya Arnqvist, Natalya; Arnqvist, Per; Sjöstedt de Luna, Sara
Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
Test (Madrid), Sociedad de Estadística e Investigación Operativa (Spanish Society of Statistics and Operations Research) 2021, Vol. 30, (3) : 529-568
Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.
Identification of single motor units in ultrafast ultrasound image sequences of voluntary skeletal muscle contractions
Umeå University medical dissertations, 2127
Rohlén, Robin
Metabolism is the major driver of hydrogen isotope fractionation recorded in tree-ring glucose of Pinus nigra
Wieloch, Thomas; Grabner, Michael; Augusti, Angela; et al.
Minimization of the q-ratio sparsity with 1 < q ≤∞ for signal recovery
Signal Processing, Elsevier 2021, Vol. 189
Zhou, Zhiyong; Yu, Jun
nilde: Nonnegative Integer Solutions of Linear Diophantine Equations with Applications. R package version 1.1-4
Pya Arnqvist, Natalya; Voinod, Vassilly; Makarov, Rashid; et al.
Non-destructive methods for assessing tree fiber length distributions in standing trees
Sjöstedt de Luna, Sara; Abramowicz, Konrad; Pya Arnqvist, Natalya
scam: Shape constrained additive models. R package version 1.2-12
Pya Arnqvist, Natalya
Stable super-resolution of images: Theoretical study
Information and Inference, Oxford University Press 2021, Vol. 10, (1) : 161-193
Eftekhari, Armin; Bendory, Tamir; Tang, Gongguo
Statistical learning of phase measuring deflectometry for defect detection and classification on specular cab body surfaces
Advances in signal processing: reviews. Volume 2, International Frequency Sensor Association Publishing 2021 : 309-342
Pya Arnqvist, Natalya; Lindahl, Eric; Yu, Jun
Subquadratic overparameterization for shallow neural networks
Advances in neural information processing systems (NeurIPS 2021), Curran Associates, Inc. 2021 : 11247-11259
Song, Chaehwan; Ramezani-Kebrya, Ali; Pethick, Thomas; et al.
Testing the first-order separability hypothesis for spatio-temporal point patterns
Computational Statistics & Data Analysis, Elsevier 2021, Vol. 161
Ghorbani, Mohammad; Vafaei, Nafiseh; Dvořák, Jiří; et al.
Towards a hierarchical indoor data model from a route perspective
Proceedings of the 16th International Conference on Location Based Services, ICA Commission on Location Based Services; University of Glasgow 2021 : 1-4
Zhou, Zhiyong; Weibel, Robert; Richter, Kai-Florian; et al.
Train performance analysis using heterogeneous statistical models
Atmosphere, MDPI 2021, Vol. 12, (9)
Wang, Jianfeng; Yu, Jun
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.
A Hybrid Statistical-Dynamical Downscaling of Air Temperature over Scandinavia using the WRF model
Advances in Atmospheric Sciences, Springer 2020, Vol. 37 : 57-74
Wang, Jianfeng; Fonseca, Ricardo M.; Rutledge, Kendall; et al.
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.
An extended block restricted isometry property for sparse recovery with non-Gaussian noise
Journal of Computational Mathematics, Global Science Press 2020, Vol. 38, (6) : 797-808
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
An mRNA-mRNA Interaction Couples Expression of a Virulence Factor and Its Chaperone in Listeria monocytogenes
Cell reports, cell press 2020, Vol. 30, (12) : 4027-+
Ignatov, Dmitriy; Vaitkevicius, Karolis; Durand, Sylvain; et al.
Combining epigenetic and clinicopathological variables improves specificity in prognostic prediction in clear cell renal cell carcinoma
Journal of Translational Medicine, Vol. 18, (1)
Andersson-Evelönn, Emma; Vidman, Linda; Källberg, David; et al.
Double-loop unadjusted langevin algorithm
37th International Conference on Machine Learning, ICML 2020, International Machine Learning Society (IMLS) 2020 : 8139-8147
Rolland, Paul; Eftekhari, Armin; Kavis, Ali; et al.
Effects of winter climate on high speed passenger trains in Botnia-Atlantica region
Wang, Jianfeng; Granlöf, Markus; Yu, Jun
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
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.
Inhomogeneous higher-order summary statistics for point processes on linear networks
Statistics and computing, Springer 2020, Vol. 30, (5) : 1221-1239
Cronie, Ottmar; Moradi, Mehdi; Mateu, Jorge
Large-scale modelling and forecasting of ambulance calls in northern Sweden using spatio-temporal log-Gaussian Cox processes
Spatial Statistics, Elsevier 2020, Vol. 39
Bayisa, Fekadu; Ådahl, Markus; Rydén, Patrik; et al.
Senast uppdaterad: 2023-01-13