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Research
Statistical Learning and Inference for Spatio-Temporal Data
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2025
Assessing the impact of degree of fusion and muscle fibre twitch shape variation on the accuracy of motor unit discharge time identification from ultrasound images
Biomedical Signal Processing and Control
, Elsevier 2025, Vol. 100
Rohlén, Robin; Lubel, Emma; Farina, Dario
2024
A cross-validation-based statistical theory for point processes
Biometrika
, Oxford University Press 2024, Vol. 111, (2) : 625-641
Cronie, Ottmar; Moradi, Mehdi; Biscio, Christophe A. N.
2024
A ridgelet approach to poisson denoising
Dadras, Ali; Leffler, Klara; Yu, Jun
2024
Accurate identification of motoneuron discharges from ultrasound images across the full muscle cross-section
IEEE Transactions on Biomedical Engineering
, IEEE 2024, Vol. 71, (5) : 1466-1477
Lubel, Emma; Rohlén, Robin; Sgambato, Bruno Grandi; et al.
2024
An empirical investigation of organizational readiness towards hospital autonomy
Iranian Journal of Public Health
, Tehran University of Medical Sciences 2024, Vol. 53, (9) : 2130-2139
Alaei Kalajahi, Riaz; Ghorbani, Mohammad; Arab, Mohammad; et al.
2023
A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics
Journal of Neural Engineering
, Institute of Physics Publishing (IOPP) 2023, Vol. 20, (3)
Rohlén, Robin; Lundsberg, Jonathan; Malesevic, Nebojsa; et al.
2023
An epigenome-wide analysis of sex hormone levels and DNA methylation in male blood samples
Epigenetics
, Taylor & Francis Group 2023, Vol. 18, (1)
Harbs, Justin; Rinaldi, Sabina; Keski-Rahkonen, Pekka; et al.
2023
Combining high-density electromyography and ultrafast ultrasound to assess individual motor unit properties in vivo
Convegno nazionale di bioingegneria: eight national congress of bioengineering: Proceedings
, Patron Editore S.r.l. 2023 : 1-4
Carbonaro, M.; Rohlén, Robin; Seoni, S.; et al.
2023
Compressed sensing for low-count PET denoising in measurement space
NORDSTAT 2023 Gothenburg
Leffler, Klara; Häggström, Ida; Yu, Jun
2023
Deep learning-based filling of incomplete sinograms from low-cost, long axial field-of-view PET scanners with inter-detector gaps
The international networking symposiumon artificial intelligence and informatics in nuclear medicine: Program book
, University Medical Center Groningen 2023 : 59-59
Leffler, Klara; Tommaso Luppino, Luigi; Kuttner, Samuel; et al.
2022
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.
2022
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
2022
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
2021
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.
2021
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.
2021
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
2021
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.
2020
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.
2020
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.
2020
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.
2020
An extended block restricted isometry property for sparse recovery with non-Gaussian noise
Journal of Computational Mathematics
, Global Science Press 2020, Vol. 38, (6) : 827-838
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
2020
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.
2020
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.
2020
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.
2020
Effects of winter climate on high speed passenger trains in Botnia-Atlantica region
Wang, Jianfeng; Granlöf, Markus; Yu, Jun
2019
A New Nonconvex Sparse Recovery Method for Compressive Sensing
Frontiers in Applied Mathematics and Statistics
, Frontiers Media S.A. 2019, Vol. 5 : 1-11
Zhou, Zhiyong; Yu, Jun
2019
A statistical learning approach for defect detection and classification on specular carbody surfaces
Winter Conference in Statistics 2019 - Machine Learning, March 10-14, 2019, Hemavan, Sweden
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Lindahl, Eric; et al.
2019
Adaptive algorithm for sparse signal recovery
Digital signal processing (Print)
, Elsevier 2019, Vol. 87 : 10-18
Bayisa, Fekadu; Zhou, Zhiyong; Cronie, Ottmar; et al.
2019
Adaptive estimation for varying coefficient modelswith nonstationary covariates
Communications in Statistics - Theory and Methods
, Taylor & Francis 2019, Vol. 48, (16) : 4034-4050
Zhou, Zhiyong; Yu, Jun
2019
Bayesian sparsity estimation in compressive sensing with application to MR images
Communications in Statistics: Case Studies, Data Analysis and Applications
, Taylor & Francis Group 2019, Vol. 5, (4) : 415-431
Wang, Jianfeng; Zhou, Zhiyong; Garpebring, Anders; et al.
2019
Concurrent climate extremes in the key wheat producing regions of the world
Scientific Reports
, Nature Publishing Group 2019, Vol. 9
Toreti, Andrea; Cronie, Ottmar; Zampieri, Matteo
2019
Defect detection and classfiication: statistical learning approach - Part II
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2019
Effective degrees of freedom for surface finish defect detection and classification
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2019
Efficient surface finish defect detection using reduced rank spline smoothers
CRoNoS & MDA 2019
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2019
Enhanced block sparse signal recovery and bayesian hierarchical models with applications
Research report in mathematical statistics
, 69
Wang, Jianfeng
2018
A non-model-based approach to bandwidth selection for kernel estimators of spatial intensity functions
Biometrika
, Oxford University Press 2018, Vol. 105, (2) : 455-462
Cronie, Ottmar; Van Lieshout, Marie-Colette N.M.
2018
An Extended Block Restricted Isometry Property for Sparse Recovery with Non-Gaussian Noise
COMPSTAT 2018, Iasi, Romania, August 28-31, 2018
Leffler, Klara; Zhou, Zhiyong; Yu, Jun
2018
Athletic ability in childhood and adolescence as a predictor of participation in non-elite sports in young adulthood
Sport in Society: Cultures, Media, Politics, Commerce
, Routledge 2018, Vol. 21, (11) : 1686-1703
Söderström, Tor; Fahlén, Josef; Ferry, Magnus; et al.
2018
Automated surface finish defect detection using statistical learning approach
SweDS2018, Umeå University, Sweden, November 20-21, 2018
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2018
Comparative analysis of nonlinear growth curve models for Arabidopsis thaliana rosette leaves
Acta Physiologiae Plantarum
, Springer 2018, Vol. 40, (6)
Jiao, Xiang; Zhang, Huichun; Zheng, Jiaqiang; et al.
2018
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Communications in Statistics: Case Studies, Data Analysis and Applications
, Taylor & Francis Group 2018, Vol. 4, (1) : 46-55
Kuljus, Kristi; Bayisa, Fekadu; Bolin, David; et al.
2018
Defect detection and classification: statistical learning approach
Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.
2017
Comparison of hidden Markov chain models and hidden Markov random field models in estimation of computed tomography images
Kuljus, Kristi; Bayisa, Fekadu; Bolin, David; et al.
2016
A note on basis dimension selection in generalized additive modelling
Pya Arnqvist, Natalya; Wood, Simon
2016
Asymptotic normality of locally modelled regression estimator for functional data
Journal of nonparametric statistics (Print)
, Vol. 28, (1) : 116-131
Zhou, Zhiyong; Zhengyan, Lin
2016
Combining phase and magnitude information for contrast agent quantification in dynamic contrast-enhanced MRI using Bayesian hierarchical model
Proceedings of the 8th International Workshop on Spatio-Temporal Modelling
: 217-217
Wang, Jianfeng; Garpebring, Anders; Brynolfsson, Patrik; et al.
2015
A
J
-function for Inhomogeneous Spatio-temporal Point Processes
Scandinavian Journal of Statistics
, John Wiley & Sons 2015, Vol. 42, (2) : 562-579
Cronie, Ottmar; van Lieshout, M N M
2015
Biotic resistance in freshwater fish communities: species richness, saturation or species identity?
Oikos
, Vol. 124, (8) : 1058-1064
Henriksson, Anna; Yu, Jun; Wardle, David A.; et al.
2015
Combining phase and magnitude information for contrast agent quantification in dynamic contrast-enhanced MRI using statistical modeling
Magnetic Resonance in Medicine
, Wiley-Blackwell 2015, Vol. 74, (4) : 1156-1164
Brynolfsson, Patrik; Yu, Jun; Wirestam, Ronnie; et al.
2014
A Statistical Analysis of Muscle Fiber Area
Rohlén, Robin
Latest update:
2023-01-13