Generative modeling of clinical time series via latent stochastic differential equations.

Aslanimoghanloo M, ElGazzar A, van Gerven M

DOI: 10.1016/j.jbi.2026.105043
Published: 2026 Jul
Container: Journal of biomedical informatics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.jbi.2026.105043,
  title = {Generative modeling of clinical time series via latent stochastic differential equations.},
  author = {Aslanimoghanloo M and ElGazzar A and van Gerven M},
  year = {2026},
  journal = {Journal of biomedical informatics},
  doi = {10.1016/j.jbi.2026.105043},
  url = {https://doi.org/10.1016/j.jbi.2026.105043}
}

RIS

TY  - JOUR
TI  - Generative modeling of clinical time series via latent stochastic differential equations.
AU  - Aslanimoghanloo M
AU  - ElGazzar A
AU  - van Gerven M
PY  - 2026
JO  - Journal of biomedical informatics
DO  - 10.1016/j.jbi.2026.105043
UR  - https://doi.org/10.1016/j.jbi.2026.105043
ER  -

APA

M, A., A, E., & M, V. G. (2026). Generative modeling of clinical time series via latent stochastic differential equations.. Journal of biomedical informatics. https://doi.org/10.1016/j.jbi.2026.105043

Source records

pubmed · retrieved 2026-09-26T14:56:58.957Z