Löfstedt T - Search Results

1

Gray-level invariant Haralick texture features.

Löfstedt T, Brynolfsson P, Asklund T, Nyholm T, Garpebring A. Löfstedt T, et al. PLoS One. 2019 Feb 22;14(2):e0212110. doi: 10.1371/journal.pone.0212110. eCollection 2019. PLoS One. 2019. PMID: 30794577 Free PMC article.

2

Parameter estimation using weighted total least squares in the two-compartment exchange model.

Garpebring A, Löfstedt T. Garpebring A, et al. Among authors: lofstedt t. Magn Reson Med. 2018 Jan;79(1):561-567. doi: 10.1002/mrm.26677. Epub 2017 Mar 27. Magn Reson Med. 2018. PMID: 28349618 Free article.

3

Density estimation of grey-level co-occurrence matrices for image texture analysis.

Garpebring A, Brynolfsson P, Kuess P, Georg D, Helbich TH, Nyholm T, Löfstedt T. Garpebring A, et al. Among authors: lofstedt t. Phys Med Biol. 2018 Oct 2;63(19):195017. doi: 10.1088/1361-6560/aad8ec. Phys Med Biol. 2018. PMID: 30088815

4

A constrained singular value decomposition method that integrates sparsity and orthogonality.

Guillemot V, Beaton D, Gloaguen A, Löfstedt T, Levine B, Raymond N, Tenenhaus A, Abdi H. Guillemot V, et al. Among authors: lofstedt t. PLoS One. 2019 Mar 13;14(3):e0211463. doi: 10.1371/journal.pone.0211463. eCollection 2019. PLoS One. 2019. PMID: 30865639 Free PMC article.

5

A Question-Centric Model for Visual Question Answering in Medical Imaging.

Vu MH, Lofstedt T, Nyholm T, Sznitman R. Vu MH, et al. Among authors: lofstedt t. IEEE Trans Med Imaging. 2020 Sep;39(9):2856-2868. doi: 10.1109/TMI.2020.2978284. Epub 2020 Mar 4. IEEE Trans Med Imaging. 2020. PMID: 32149682

6

Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion.

Fetty L, Löfstedt T, Heilemann G, Furtado H, Nesvacil N, Nyholm T, Georg D, Kuess P. Fetty L, et al. Among authors: lofstedt t. Phys Med Biol. 2020 May 22;65(10):105004. doi: 10.1088/1361-6560/ab857b. Phys Med Biol. 2020. PMID: 32235074

7

Latent space manipulation for high-resolution medical image synthesis via the StyleGAN.

Fetty L, Bylund M, Kuess P, Heilemann G, Nyholm T, Georg D, Löfstedt T. Fetty L, et al. Among authors: lofstedt t. Z Med Phys. 2020 Nov;30(4):305-314. doi: 10.1016/j.zemedi.2020.05.001. Epub 2020 Jun 18. Z Med Phys. 2020. PMID: 32564924 Free article.

8

Bayesian non-linear regression with spatial priors for noise reduction and error estimation in quantitative MRI with an application in T1 estimation.

Löfstedt T, Hellström M, Bylund M, Garpebring A. Löfstedt T, et al. Phys Med Biol. 2020 Nov 24;65(22):225036. doi: 10.1088/1361-6560/abb9f5. Phys Med Biol. 2020. PMID: 32947277

9

Evaluation of multislice inputs to convolutional neural networks for medical image segmentation.

Vu MH, Grimbergen G, Nyholm T, Löfstedt T. Vu MH, et al. Among authors: lofstedt t. Med Phys. 2020 Dec;47(12):6216-6231. doi: 10.1002/mp.14391. Epub 2020 Nov 10. Med Phys. 2020. PMID: 33169365

10

A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation.

Vu MH, Norman G, Nyholm T, Lofstedt T. Vu MH, et al. Among authors: lofstedt t. IEEE Trans Med Imaging. 2022 Jun;41(6):1320-1330. doi: 10.1109/TMI.2021.3139161. Epub 2022 Jun 1. IEEE Trans Med Imaging. 2022. PMID: 34965206

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