Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies
- DOI
- 10.1007/s00330-025-11808-6
- Published
- 2025-07-19
- Container
- European Radiology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00330-025-11808-6,
title = {Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies},
author = {Tej Joshi and John Virostko and Maxim S. Petrov},
year = {2025},
journal = {European Radiology},
doi = {10.1007/s00330-025-11808-6},
url = {https://doi.org/10.1007/s00330-025-11808-6}
}RIS
TY - JOUR TI - Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies AU - Tej Joshi AU - John Virostko AU - Maxim S. Petrov PY - 2025 JO - European Radiology DO - 10.1007/s00330-025-11808-6 UR - https://doi.org/10.1007/s00330-025-11808-6 ER -
APA
Joshi, T., Virostko, J., & Petrov, M. S. (2025). Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies. European Radiology. https://doi.org/10.1007/s00330-025-11808-6
Source records
- crossref · retrieved 2026-09-27T01:29:34.155Z