Deep Learning in Postmortem Interval Estimation: A Systematic Review of Current Practices and Future Directions.

Rodríguez-Corbera P, Ortega-Sanchez M, Barrot-Feixat C, Casadesús-Tohà G.

DOI: 10.1097/paf.0000000000001169
Published: 2026-09-11
Container: Am J Forensic Med Pathol
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1097/paf.0000000000001169,
  title = {Deep Learning in Postmortem Interval Estimation: A Systematic Review of Current Practices and Future Directions.},
  author = {Rodríguez-Corbera P and  Ortega-Sanchez M and  Barrot-Feixat C and  Casadesús-Tohà G.},
  year = {2026},
  journal = {Am J Forensic Med Pathol},
  doi = {10.1097/paf.0000000000001169},
  url = {https://doi.org/10.1097/paf.0000000000001169}
}

RIS

TY  - JOUR
TI  - Deep Learning in Postmortem Interval Estimation: A Systematic Review of Current Practices and Future Directions.
AU  - Rodríguez-Corbera P
AU  -  Ortega-Sanchez M
AU  -  Barrot-Feixat C
AU  -  Casadesús-Tohà G.
PY  - 2026
JO  - Am J Forensic Med Pathol
DO  - 10.1097/paf.0000000000001169
UR  - https://doi.org/10.1097/paf.0000000000001169
ER  -

APA

P, R., M, O., C, B., & G., C. (2026). Deep Learning in Postmortem Interval Estimation: A Systematic Review of Current Practices and Future Directions.. Am J Forensic Med Pathol. https://doi.org/10.1097/paf.0000000000001169

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europe-pmc · retrieved 2026-09-26T10:22:03.071Z