Hippocampal Segmentation Performance on 7 Tesla MRI: Intensity-Based Accuracy Assessment with Paired 3T–7T Volume Comparison Across Multiple Algorithms

Authors

Jonathon J. Parker (ORCID: https://orcid.org/0000-0002-0531-8400)
Justin Cramer (ORCID: https://orcid.org/0000-0003-0350-184X)
Leslie C. Baxter (ORCID: https://orcid.org/0000-0002-3971-863X)
Ichiro Ikuta (ORCID: https://orcid.org/0000-0002-7145-833X)
Yuxiang Zhou (ORCID: https://orcid.org/0000-0002-3462-2305)
Yalin Wang (ORCID: https://orcid.org/0000-0002-6241-735X)

Institutions

Mayo Clinic in Arizona (US)

Publication Details

Journal: American Journal of Neuroradiology
Published: 2025-11-19
DOI: https://doi.org/10.3174/ajnr.a9110
Primary Topic: Medical Image Segmentation Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Hippocampal Segmentation Performance on 7 Tesla MRI: Intensity-Based Accuracy Assessment with Paired 3T–7T Volume Comparison Across Multiple Algorithms

Jonathon J. Parker, Justin Cramer, Leslie C. Baxter, Ichiro Ikuta et al.

Nov 19, 2025

American Journal of Neuroradiology

Medical Image Segmentation Techniques

article

Hippocampal Segmentation Performance on 7 Tesla MRI: Intensity-Based Accuracy Assessment with Paired 3T–7T Volume Comparison Across Multiple Algorithms

Jonathon J. Parker, Justin Cramer, Leslie C. Baxter, Ichiro Ikuta, Yuxiang Zhou, Yalin Wang

November 19, 2025article en

Abstract

No abstract available for this paper.

American Journal of Neuroradiology

Mayo Clinic in Arizona (US)

Openalex Percentile: Top 63%

Medical Image Segmentation Techniques

DOI Open Access PDF OpenAlex

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