Johannes Ulén - Search Results

Year	Number of Results
2012	1
2013	2
2015	1
2018	1
2019	4
2020	4
2021	9
2022	5
2023	3
2024	4

1

Application of an artificial intelligence-based tool in [¹⁸F]FDG PET/CT for the assessment of bone marrow involvement in multiple myeloma.

Sachpekidis C, Enqvist O, Ulén J, Kopp-Schneider A, Pan L, Jauch A, Hajiyianni M, John L, Weinhold N, Sauer S, Goldschmidt H, Edenbrandt L, Dimitrakopoulou-Strauss A. Sachpekidis C, et al. Among authors: ulen j. Eur J Nucl Med Mol Imaging. 2023 Oct;50(12):3697-3708. doi: 10.1007/s00259-023-06339-5. Epub 2023 Jul 26. Eur J Nucl Med Mol Imaging. 2023. PMID: 37493665 Free PMC article. Clinical Trial.

2

Shortest Paths with Higher-Order Regularization.

Ulen J, Strandmark P, Kahl F. Ulen J, et al. IEEE Trans Pattern Anal Mach Intell. 2015 Dec;37(12):2588-600. doi: 10.1109/TPAMI.2015.2409869. IEEE Trans Pattern Anal Mach Intell. 2015. PMID: 26539860

3

Artificial intelligence-aided CT segmentation for body composition analysis: a validation study.

Borrelli P, Kaboteh R, Enqvist O, Ulén J, Trägårdh E, Kjölhede H, Edenbrandt L. Borrelli P, et al. Among authors: ulen j. Eur Radiol Exp. 2021 Mar 11;5(1):11. doi: 10.1186/s41747-021-00210-8. Eur Radiol Exp. 2021. PMID: 33694046 Free PMC article.

4

Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies.

Molnar D, Enqvist O, Ulén J, Larsson M, Brandberg J, Johnsson ÅA, Björnson E, Bergström G, Hjelmgren O. Molnar D, et al. Among authors: ulen j. Sci Rep. 2021 Dec 13;11(1):23905. doi: 10.1038/s41598-021-03150-w. Sci Rep. 2021. PMID: 34903773 Free PMC article.

5

Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [¹⁸F]FDG PET/CT predicts survival in multiple myeloma.

Sachpekidis C, Enqvist O, Ulén J, Kopp-Schneider A, Pan L, Mai EK, Hajiyianni M, Merz M, Raab MS, Jauch A, Goldschmidt H, Edenbrandt L, Dimitrakopoulou-Strauss A. Sachpekidis C, et al. Among authors: ulen j. Eur J Nucl Med Mol Imaging. 2024 Mar 8. doi: 10.1007/s00259-024-06668-z. Online ahead of print. Eur J Nucl Med Mol Imaging. 2024. PMID: 38456971

6

Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin's lymphoma patients staged with FDG-PET/CT.

Sadik M, López-Urdaneta J, Ulén J, Enqvist O, Krupic A, Kumar R, Andersson PO, Trägårdh E. Sadik M, et al. Among authors: ulen j. Sci Rep. 2021 May 17;11(1):10382. doi: 10.1038/s41598-021-89656-9. Sci Rep. 2021. PMID: 34001922 Free PMC article.

7

AI-based detection of lung lesions in [¹⁸F]FDG PET-CT from lung cancer patients.

Borrelli P, Ly J, Kaboteh R, Ulén J, Enqvist O, Trägårdh E, Edenbrandt L. Borrelli P, et al. Among authors: ulen j. EJNMMI Phys. 2021 Mar 25;8(1):32. doi: 10.1186/s40658-021-00376-5. EJNMMI Phys. 2021. PMID: 33768311 Free PMC article.

8

Convolutional neural network-based automatic heart segmentation and quantitation in ¹²³I-metaiodobenzylguanidine SPECT imaging.

Saito S, Nakajima K, Edenbrandt L, Enqvist O, Ulén J, Kinuya S. Saito S, et al. Among authors: ulen j. EJNMMI Res. 2021 Oct 12;11(1):105. doi: 10.1186/s13550-021-00847-x. EJNMMI Res. 2021. PMID: 34637028 Free PMC article.

9

Artificial intelligence-based detection of lymph node metastases by PET/CT predicts prostate cancer-specific survival.

Borrelli P, Larsson M, Ulén J, Enqvist O, Trägårdh E, Poulsen MH, Mortensen MA, Kjölhede H, Høilund-Carlsen PF, Edenbrandt L. Borrelli P, et al. Among authors: ulen j. Clin Physiol Funct Imaging. 2021 Jan;41(1):62-67. doi: 10.1111/cpf.12666. Epub 2020 Oct 18. Clin Physiol Funct Imaging. 2021. PMID: 32976691

10

Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [¹⁸F]-PSMA-1007 PET-CT.

Trägårdh E, Enqvist O, Ulén J, Jögi J, Bitzén U, Hedeer F, Valind K, Garpered S, Hvittfeldt E, Borrelli P, Edenbrandt L. Trägårdh E, et al. Among authors: ulen j. Diagnostics (Basel). 2022 Aug 30;12(9):2101. doi: 10.3390/diagnostics12092101. Diagnostics (Basel). 2022. PMID: 36140502 Free PMC article.

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