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Tommy Löfstedt
Tommy Löfstedt
Associate Professor at Umeå University doing Machine Learning and Computer Vision in Medical Imaging
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
1162011
Gray-level invariant Haralick texture features
T Löfstedt, P Brynolfsson, T Asklund, T Nyholm, A Garpebring
PloS one 14 (2), e0212110, 2019
1002019
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
632013
Global, local and unique decompositions in OnPLS for multiblock data analysis
T Löfstedt, D Hoffman, J Trygg
Analytica chimica acta 791, 13-24, 2013
452013
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
382010
Understanding and interpreting machine learning in medical image computing applications
S Pereira, R Meier, V Alves, M Reyes, CA Silva
Cham: Springer, 106-114, 2018
26*2018
Latent space manipulation for high-resolution medical image synthesis via the StyleGAN
L Fetty, M Bylund, P Kuess, G Heilemann, T Nyholm, D Georg, T Löfstedt
Zeitschrift für Medizinische Physik 30 (4), 305-314, 2020
252020
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
242012
Evaluation of multislice inputs to convolutional neural networks for medical image segmentation
MH Vu, G Grimbergen, T Nyholm, T Löfstedt
Medical Physics 47 (12), 6216-6231, 2020
232020
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
222018
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
222018
OnPLS path modelling
T Löfstedt, M Hanafi, G Mazerolles, J Trygg
Chemometrics and Intelligent Laboratory Systems 118, 139-149, 2012
222012
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
212018
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks
MH Vu, T Nyholm, T Löfstedt
International MICCAI Brainlesion Workshop, 174-186, 2019
192019
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
192014
Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion
L Fetty, T Löfstedt, G Heilemann, H Furtado, N Nesvacil, T Nyholm, ...
Physics in Medicine & Biology 65 (10), 105004, 2020
172020
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
172019
Statistics and Machine Learning in Python
E Duchesnay, T Lofstedt, F Younes
162020
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
162012
A Question-Centric Model for Visual Question Answering in Medical Imaging
MH Vu, T Löfstedt, T Nyholm, R Sznitman
IEEE transactions on medical imaging 39 (9), 2856-2868, 2020
152020
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