Tommy Löfstedt
Tommy Löfstedt
Associate Professor at Umeå University doing Machine Learning and Computer Vision in Medical Image
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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
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
Global, local and unique decompositions in OnPLS for multiblock data analysis
T Löfstedt, D Hoffman, J Trygg
Analytica chimica acta 791, 13-24, 2013
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
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
OnPLS path modelling
T Löfstedt, M Hanafi, G Mazerolles, J Trygg
Chemometrics and Intelligent Laboratory Systems 118, 139-149, 2012
Fractal Geometry, Graph and Tree Constructions
T Löfstedt
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
Gray-level invariant Haralick texture features
T Löfstedt, P Brynolfsson, T Asklund, T Nyholm, A Garpebring
PloS one 14 (2), e0212110, 2019
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
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
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
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
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
Bi‐modal OnPLS
T Löfstedt, L Eriksson, G Wormbs, J Trygg
Journal of Chemometrics 26 (6), 236-245, 2012
Statistics and Machine Learning in Python
E Duchesnay, T Löfstedt
Release 0.1, 2018
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
D Stoyanov, Z Taylor, SM Kia, I Oguz, M Reyes
Springer International Publishing, 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
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
OnPLS: Orthogonal projections to latent structures in multiblock and path model data analysis
T Löfstedt
Umeå universitet, 2012
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