Automated cervix biometry, volumetry and normative models for 3D motion-corrected T2-weighted 0.55-3T fetal MRI during 2nd and 3rd trimesters
2025 · Scientific Reports · 0 citations
https://doi.org/10.1038/s41598-025-29744-2
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Simi Bansal
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Simi Bansal is an academic researcher from King's College London. The author has contributed to research in topics: Fetal and Pediatric Neurological Disorders & Neonatal and fetal brain pathology & Pregnancy and preeclampsia studies. The author has an h-index of 2, co-authored 32 publications.
Papers by this author
worksAdditional file 6 of Late gestation MRI to assess maternal pelvimetry, fetal biometry and placental oxygenation: a retrospective pilot study
2026 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.30994947
Additional file 6 of Late gestation MRI to assess maternal pelvimetry, fetal biometry and placental oxygenation: a retrospective pilot study
2026 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.30994947.v1
Late gestation MRI to assess maternal pelvimetry, fetal biometry and placental oxygenation: a retrospective pilot study
2026 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.8229156.v1
Additional file 3 of Late gestation MRI to assess maternal pelvimetry, fetal biometry and placental oxygenation: a retrospective pilot study
2026 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.30994938.v1
Additional file 2 of Late gestation MRI to assess maternal pelvimetry, fetal biometry and placental oxygenation: a retrospective pilot study
2026 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.30994935.v1
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