PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings.

Van Horn A, Smith L, Mahmoud MS, McMaster M, Pinchbeck CG, Martin IT, Lininger A, Ingrisano A, Lowe A, Bayod C, Bolman ES, Singer K, Hinczewski M

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DOI: 10.1126/sciadv.aea0485
Published: 2026 Apr 17
Container: Science advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.aea0485,
  title = {PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings.},
  author = {Van Horn A and Smith L and Mahmoud MS and McMaster M and Pinchbeck CG and Martin IT and Lininger A and Ingrisano A and Lowe A and Bayod C and Bolman ES and Singer K and Hinczewski M},
  year = {2026},
  journal = {Science advances},
  doi = {10.1126/sciadv.aea0485},
  url = {https://doi.org/10.1126/sciadv.aea0485}
}

RIS

TY  - JOUR
TI  - PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings.
AU  - Van Horn A
AU  - Smith L
AU  - Mahmoud MS
AU  - McMaster M
AU  - Pinchbeck CG
AU  - Martin IT
AU  - Lininger A
AU  - Ingrisano A
AU  - Lowe A
AU  - Bayod C
AU  - Bolman ES
AU  - Singer K
AU  - Hinczewski M
PY  - 2026
JO  - Science advances
DO  - 10.1126/sciadv.aea0485
UR  - https://doi.org/10.1126/sciadv.aea0485
ER  -

APA

A, V. H., L, S., MS, M., M, M., CG, P., IT, M., A, L., A, I., A, L., C, B., ES, B., K, S., & M, H. (2026). PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings.. Science advances. https://doi.org/10.1126/sciadv.aea0485

Source records

pubmed · retrieved 2026-09-25T07:10:44.600Z