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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.
J Magn Reson Imaging. 2018 May;47(5):1205-1216. doi: 10.1002/jmri.25873. Epub 2017 Oct 16.
J Magn Reson Imaging. 2018.
PMID: 29044896
Stromal Collagen Content in Breast Tumors Correlates With In Vivo Diffusion-Weighted Imaging: A Comparison of Multi b-Value DWI With Histologic Specimen From Benign and Malignant Breast Lesions.
Egnell L, Vidić I, Jerome NP, Bofin AM, Bathen TF, Goa PE.
Egnell L, et al.
J Magn Reson Imaging. 2020 Jun;51(6):1868-1878. doi: 10.1002/jmri.27018. Epub 2019 Dec 13.
J Magn Reson Imaging. 2020.
PMID: 31837076
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Modeling the diffusion-weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm2 range: quality of fit and classification accuracy for different representations.
Vidić I, Egnell L, Jerome NP, White NS, Karunamuni R, Rakow-Penner R, Dale AM, Bathen TF, Goa PE.
Vidić I, et al. Among authors: egnell l.
Magn Reson Med. 2020 Aug;84(2):1011-1023. doi: 10.1002/mrm.28161. Epub 2020 Jan 23.
Magn Reson Med. 2020.
PMID: 31975448
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Understanding diffusion-weighted MRI analysis: Repeatability and performance of diffusion models in a benign breast lesion cohort.
Jerome NP, Vidić I, Egnell L, Sjøbakk TE, Østlie A, Fjøsne HE, Goa PE, Bathen TF.
Jerome NP, et al. Among authors: egnell l.
NMR Biomed. 2021 Jul;34(7):e4508. doi: 10.1002/nbm.4508. Epub 2021 Mar 18.
NMR Biomed. 2021.
PMID: 33738878
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Effects of echo time on IVIM quantifications of locally advanced breast cancer in clinical diffusion-weighted MRI at 3 T.
Egnell L, Jerome NP, Andreassen MMS, Bathen TF, Goa PE.
Egnell L, et al.
NMR Biomed. 2022 May;35(5):e4654. doi: 10.1002/nbm.4654. Epub 2021 Dec 30.
NMR Biomed. 2022.
PMID: 34967468
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