Tommy Löfstedt
Tommy Löfstedt
Associate Professor at Umeå University doing Machine Learning and Computer Vision in Medical Image
Verified email at umu.se
Title
Cited by
Cited by
Year
OnPLS—a novel multiblock method for the modelling of predictive and orthogonal variation
T Löfstedt, J Trygg
Journal of Chemometrics 25 (8), 441-455, 2011
922011
OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI-superoxide dismutase Populus …
V Srivastava, O Obudulu, J Bygdell, T Löfstedt, P Rydén, R Nilsson, ...
BMC genomics 14 (1), 893, 2013
452013
Global, local and unique decompositions in OnPLS for multiblock data analysis
T Löfstedt, D Hoffman, J Trygg
Analytica chimica acta 791, 13-24, 2013
362013
Modelling human musculoskeletal functional movements using ultrasound imaging
M Peolsson, T Löfstedt, S Vogt, H Stenlund, A Arndt, J Trygg
BMC Medical Imaging 10 (1), 9, 2010
352010
Ultrasound imaging with speckle tracking of cervical muscle deformation and deformation rate: isometric contraction of patients after anterior cervical decompression and fusion …
A Peolsson, T Löfstedt, J Trygg, M Peolsson
Manual therapy 17 (6), 519-525, 2012
222012
OnPLS path modelling
T Löfstedt, M Hanafi, G Mazerolles, J Trygg
Chemometrics and Intelligent Laboratory Systems 118, 139-149, 2012
192012
Fractal Geometry, Graph and Tree Constructions
T Löfstedt
152008
Predictive support recovery with TV-elastic net penalty and logistic regression: An application to structural MRI
M Dubois, F Hadj-Selem, T Löfstedt, M Perrot, C Fischer, V Frouin, ...
2014 International Workshop on Pattern Recognition in Neuroimaging, 1-4, 2014
142014
Gray-level invariant Haralick texture features
T Löfstedt, P Brynolfsson, T Asklund, T Nyholm, A Garpebring
PloS one 14 (2), e0212110, 2019
132019
Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity
A de Pierrefeu, T Fovet, F Hadj‐Selem, T Löfstedt, P Ciuciu, S Lefebvre, ...
Human brain mapping 39 (4), 1777-1788, 2018
132018
Dynamic ultrasound imaging—A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements
T Löfstedt, O Ahnlund, M Peolsson, J Trygg
BMC medical imaging 12 (1), 1-10, 2012
132012
Structured sparse principal components analysis with the TV-elastic net penalty
A de Pierrefeu, T Löfstedt, F Hadj-Selem, M Dubois, R Jardri, T Fovet, ...
IEEE transactions on medical imaging 37 (2), 396-407, 2018
122018
Preliminary evaluation of dorsal muscle activity during resisted cervical extension in patients with longstanding pain and disability following anterior cervical decompression …
A Peolsson, M Peolsson, G Jull, T Löfstedt, J Trygg, S O’Leary
Physiotherapy 101 (1), 69-74, 2015
122015
Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity
A de Pierrefeu, T Löfstedt, C Laidi, F Hadj‐Selem, J Bourgin, T Hajek, ...
Acta Psychiatrica Scandinavica, 2018
112018
Bi‐modal OnPLS
T Löfstedt, L Eriksson, G Wormbs, J Trygg
Journal of Chemometrics 26 (6), 236-245, 2012
92012
Statistics and Machine Learning in Python
E Duchesnay, T Löfstedt
Release 0.1, 2018
82018
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
D Stoyanov, Z Taylor, SM Kia, I Oguz, M Reyes
Springer International Publishing, 2018
6*2018
A constrained singular value decomposition method that integrates sparsity and orthogonality
V Guillemot, D Beaton, A Gloaguen, T Löfstedt, B Levine, N Raymond, ...
PloS one 14 (3), e0211463, 2019
52019
Near infrared and skin impedance spectroscopy–a possible support in the diagnostic process of skin tumours in primary health care
E Hägerlind, M Falk, T Löfstedt, B Lindholm‐Sethson, I Bodén
Skin research and technology 21 (4), 493-499, 2015
52015
OnPLS: Orthogonal projections to latent structures in multiblock and path model data analysis
T Löfstedt
Umeå universitet, 2012
52012
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Articles 1–20