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.
Citations
4 citations
Journal
EJNMMI Research
Topics
Adrenal and Paraganglionic Tumors
Field-Weighted Citation Impact (FWCI)
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.
Publication Tag
EJNMMI ResearchVol. 14(1)
Institutions
National Institutes of Health (US), National Cancer Institute (US), National Institutes of Health Clinical Center (US)
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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