"Häggström I"[Author] - Search Results

Year	Number of Results
1995	1
2002	1
2007	1
2010	1
2014	1
2015	2
2016	2
2017	2
2018	1
2019	1
2020	2
2022	2
2023	2
2024	2
2025	1

1

Mayerhoefer ME, Materka A, Langs G, Häggström I, Szczypiński P, Gibbs P, Cook G. Mayerhoefer ME, et al. Among authors: haggstrom i. J Nucl Med. 2020 Apr;61(4):488-495. doi: 10.2967/jnumed.118.222893. Epub 2020 Feb 14. J Nucl Med. 2020. PMID: 32060219 Free PMC article. Review.

2

Deep learning for [¹⁸F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis.

Häggström I, Leithner D, Alvén J, Campanella G, Abusamra M, Zhang H, Chhabra S, Beer L, Haug A, Salles G, Raderer M, Staber PB, Becker A, Hricak H, Fuchs TJ, Schöder H, Mayerhoefer ME. Häggström I, et al. Lancet Digit Health. 2024 Feb;6(2):e114-e125. doi: 10.1016/S2589-7500(23)00203-0. Epub 2023 Dec 21. Lancet Digit Health. 2024. PMID: 38135556 Free PMC article.

3

Impact of ComBat Harmonization on PET Radiomics-Based Tissue Classification: A Dual-Center PET/MRI and PET/CT Study.

Leithner D, Schöder H, Haug A, Vargas HA, Gibbs P, Häggström I, Rausch I, Weber M, Becker AS, Schwartz J, Mayerhoefer ME. Leithner D, et al. Among authors: haggstrom i. J Nucl Med. 2022 Oct;63(10):1611-1616. doi: 10.2967/jnumed.121.263102. Epub 2022 Feb 24. J Nucl Med. 2022. PMID: 35210300 Free PMC article.

4

Early identification and characterisation of stroke to support prehospital decision-making using artificial intelligence: a scoping review protocol.

Jalo H, Seth M, Pikkarainen M, Häggström I, Jood K, Bakidou A, Sjöqvist BA, Candefjord S. Jalo H, et al. Among authors: haggstrom i. BMJ Open. 2023 May 22;13(5):e069660. doi: 10.1136/bmjopen-2022-069660. BMJ Open. 2023. PMID: 37217266 Free PMC article.

5

Depth resolved pencil beam radiography using AI - a proof of principle study.

Häggström I, Carter LM, Fuchs TJ, Kesner AL. Häggström I, et al. J Instrum. 2022 Jun;17(6):P06012. doi: 10.1088/1748-0221/17/06/p06012. Epub 2022 Jun 7. J Instrum. 2022. PMID: 38938475 Free PMC article.

6

DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

Häggström I, Schmidtlein CR, Campanella G, Fuchs TJ. Häggström I, et al. Med Image Anal. 2019 May;54:253-262. doi: 10.1016/j.media.2019.03.013. Epub 2019 Mar 30. Med Image Anal. 2019. PMID: 30954852 Free PMC article.

7

Accelerating Prostate Diffusion-weighted MRI Using a Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study.

Kaye EA, Aherne EA, Duzgol C, Häggström I, Kobler E, Mazaheri Y, Fung MM, Zhang Z, Otazo R, Vargas HA, Akin O. Kaye EA, et al. Among authors: haggstrom i. Radiol Artif Intell. 2020 Aug 26;2(5):e200007. doi: 10.1148/ryai.2020200007. Radiol Artif Intell. 2020. PMID: 33033804 Free PMC article.

8

PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods.

Berthon B, Häggström I, Apte A, Beattie BJ, Kirov AS, Humm JL, Marshall C, Spezi E, Larsson A, Schmidtlein CR. Berthon B, et al. Among authors: haggstrom i. Phys Med. 2015 Dec;31(8):969-980. doi: 10.1016/j.ejmp.2015.07.139. Epub 2015 Aug 28. Phys Med. 2015. PMID: 26321409 Free PMC article.

9

Dynamic PET simulator via tomographic emission projection for kinetic modeling and parametric image studies.

Häggström I, Beattie BJ, Schmidtlein CR. Häggström I, et al. Med Phys. 2016 Jun;43(6):3104-3116. doi: 10.1118/1.4950883. Med Phys. 2016. PMID: 27277057 Free PMC article.

10

Breathing motion compensation in chest tomosynthesis: evaluation of the effect on image quality and presence of artifacts.

Mirzai M, Nilsson J, Sund P, Norrlund RR, Diniz MO, Gottfridsson B, Häggström I, Johnsson ÅA, Båth M, Svalkvist A. Mirzai M, et al. Among authors: haggstrom i. J Med Imaging (Bellingham). 2025 Jan;12(Suppl 1):S13004. doi: 10.1117/1.JMI.12.S1.S13004. Epub 2024 Sep 14. J Med Imaging (Bellingham). 2025. PMID: 39281664

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