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A ridgelet approach to poisson denoising

Dadras, Ali; Leffler, Klara; Yu, Jun

A cross-validation-based statistical theory for point processes

Biometrika

Cronie, Ottmar; Moradi, Mehdi; Biscio, Christophe A. N.

A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics

Journal of Neural Engineering

Rohlén, Robin; Lundsberg, Jonathan; Malesevic, Nebojsa; et al.

Accurate identification of motoneuron discharges from ultrasound images across the full muscle cross-section

IEEE Transactions on Biomedical Engineering

Lubel, Emma; Rohlén, Robin; Sgambato, Bruno Grandi; et al.

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.

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.

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

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

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.

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) : 827-838

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

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

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.

Adaptive algorithm for sparse signal recovery

Digital signal processing (Print), Elsevier 2019, Vol. 87 : 10-18

Bayisa, Fekadu; Zhou, Zhiyong; Cronie, Ottmar; et al.

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

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.

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

Defect detection and classfiication: statistical learning approach - Part II

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Effective degrees of freedom for surface finish defect detection and classification

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Efficient surface finish defect detection using reduced rank spline smoothers

CRoNoS & MDA 2019

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

Enhanced block sparse signal recovery and bayesian hierarchical models with applications

Research report in mathematical statistics, 69

Wang, Jianfeng

Enhanced block sparse signal recovery based on q-ratio block constrained minimal singular values

Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun

Error bounds of block sparse signal recovery based on q-ratio block constrained minimal singular values

EURASIP Journal on Advances in Signal Processing, Springer 2019, Vol. 2019

Wang, Jianfeng; Zhou, Zhiyong; Yu, Jun

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.

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

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.

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.

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.

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.

Defect detection and classification: statistical learning approach

Pya Arnqvist, Natalya; Ngendangenzwa, Blaise; Nilsson, Leif; et al.

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.

Estimation of block sparsity in compressive sensing

Zhou, Zhiyong; Yu, Jun

A note on basis dimension selection in generalized additive modelling

Pya Arnqvist, Natalya; Wood, Simon

Asymptotic normality of locally modelled regression estimator for functional data

Journal of nonparametric statistics (Print), Vol. 28, (1) : 116-131

Zhou, Zhiyong; Zhengyan, Lin

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.

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

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.

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.

A Statistical Analysis of Muscle Fiber Area

Rohlén, Robin

Latest update: 2023-01-13