Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across Puberty

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Publication Details

Journal
Diagnostics
Published
2026-04-30
DOI
https://doi.org/10.3390/diagnostics16091357
Primary Topic
Ovarian function and disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across Puberty

Barış Türkbey, K F Berman, Lynnette K. Nieman, Fahmida Haque et al.
Diagnostics
Ovarian function and disorders
article

Artificial Intelligence-Based Approach for Automated Gonad Volume Quantification Using Magnetic Resonance Imaging in Healthy Adolescents Across Puberty

Barış Türkbey, K F Berman, Lynnette K. Nieman, Fahmida Haque, Shau-Ming Wei, Veronica Gomez‐Lobo, Jack Adam Yanovski, Allison Kumnick, Evrim B. Turkbey, Mary Soliman, Peter J. Schmidt, Stephanie A. Harmon
article en

Abstract

No abstract available for this paper.
DiagnosticsVol. 16(9)
National Institute of Biomedical Imaging and Bioengineering (US), National Institute of Diabetes and Digestive and Kidney Diseases (US), National Cancer Institute (US), National Institute of Child Health (PK), Eunice Kennedy Shriver National Institute of Child Health and Human Development (US), National Institute of Mental Health (US), National Institute of Mental Health (CZ)
Openalex Percentile: Top 6%
Ovarian function and disorders
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