An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body 68Ga- DOTATATE PET/CT

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Publication Details

Journal
EJNMMI Research
Published
2024-11-05
DOI
https://doi.org/10.1186/s13550-024-01168-5
Citations
4
Primary Topic
Adrenal and Paraganglionic Tumors
Type
article
Field-Weighted Citation Impact
2.29

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article

An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body 68Ga- DOTATATE PET/CT

Naris Nilubol, Philip Eclarinal, Barış Türkbey, Fahmida Haque et al.
4 citations
EJNMMI Research
Adrenal and Paraganglionic Tumors
2.29
article

An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body 68Ga- DOTATATE PET/CT

Naris Nilubol, Philip Eclarinal, Barış Türkbey, Fahmida Haque, Charalampos S. Floudas, Stephanie A. Harmon, Evrim Türkbey, Jorge A. Carrasquillo, Esther Mena, Frank I. Lin, Liza Lindenberg, Peter L. Choyke
article en
4 citations

Abstract

No abstract available for this paper.
EJNMMI ResearchVol. 14(1)
National Institutes of Health (US), National Cancer Institute (US), National Institutes of Health Clinical Center (US)
National Institutes of Health
Openalex Percentile: Top 11%
Adrenal and Paraganglionic Tumors
2.29
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An automated pheochromocytoma and paraganglioma lesion segmentation AI-model at whole-body 68Ga- DOTATATE PET/CT — Naris Nilubol, Philip Eclarinal, et al. · EJNMMI Research (2024) | TGRS Research Map | TGRS