Semi‐Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter <scp>MRI</scp> Data

Authors

Elizabeth Tong (ORCID: https://orcid.org/0000-0002-9550-8178)
Kyrre E. Emblem (ORCID: https://orcid.org/0000-0002-6580-9519)
Jon André Ottesen (ORCID: https://orcid.org/0000-0002-5383-2439)
Endre Grøvik (ORCID: https://orcid.org/0000-0002-9925-1162)
Atle Bjørnerud (ORCID: https://orcid.org/0000-0002-3486-3141)
Greg Zaharchuk (ORCID: https://orcid.org/0000-0001-5781-8848)
Anna Latysheva (ORCID: https://orcid.org/0000-0002-0061-5609)

Institutions

Oslo University Hospital (NO)
University of Oslo (NO)
Norwegian University of Science and Technology (NO)
Ålesund Hospital (NO)
Stanford University (US)

Publication Details

Journal: Journal of Magnetic Resonance Imaging
Published: 2025-01-10
DOI: https://doi.org/10.1002/jmri.29686
Citations: 1
Primary Topic: Brain Tumor Detection and Classification
Type: article
Field-Weighted Citation Impact: 0.84

Funders

Kreftforeningen
Norges Forskningsråd

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article

Semi‐Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data

Elizabeth Tong, Kyrre E. Emblem, Jon André Ottesen, Endre Grøvik et al.

Jan 10, 2025

1 citations

Journal of Magnetic Resonance Imaging

Brain Tumor Detection and Classification

0.84

article

Semi‐Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data

Elizabeth Tong, Kyrre E. Emblem, Jon André Ottesen, Endre Grøvik, Atle Bjørnerud, Greg Zaharchuk, Anna Latysheva

January 10, 2025article en

1 citations

Abstract

No abstract available for this paper.

Journal of Magnetic Resonance ImagingVol. 61(6)

Oslo University Hospital (NO), University of Oslo (NO), Norwegian University of Science and Technology (NO), Ålesund Hospital (NO), Stanford University (US)

Kreftforeningen, Norges Forskningsråd

Openalex Percentile: Top 31%

Brain Tumor Detection and Classification

0.84

DOI Open Access PDF OpenAlex

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