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PreprintAll rights reservedmedRxiv

Deep learning cardiac motion analysis reveals the dynamic pathophysiology and genetic architecture of heart failure with preserved ejection fraction

  • K. R. Steffner1
  • N. Quach
  • S. G. Reddy
  • R. Xia
  • L. Kiwakyou
  • B. Gomes
  • E. A. Ashley
  1. 1Stanford University School of Medicine
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Cite

BibTeXRIS
BibTeX
@misc{steffner2026deep,
  title = {{Deep learning cardiac motion analysis reveals the dynamic pathophysiology and genetic architecture of heart failure with preserved ejection fraction}},
  author = {K. R. Steffner and N. Quach and S. G. Reddy and R. Xia and L. Kiwakyou and B. Gomes and E. A. Ashley},
  howpublished = {medRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.28.26364208},
  url = {https://www.medrxiv.org/content/10.64898/2026.09.28.26364208v1},
}
RIS
TY  - UNPB
TI  - Deep learning cardiac motion analysis reveals the dynamic pathophysiology and genetic architecture of heart failure with preserved ejection fraction
AU  - K. R. Steffner
AU  - N. Quach
AU  - S. G. Reddy
AU  - R. Xia
AU  - L. Kiwakyou
AU  - B. Gomes
AU  - E. A. Ashley
PY  - 2026
DA  - 2026/09/28
PB  - medRxiv
DO  - 10.64898/2026.09.28.26364208
UR  - https://www.medrxiv.org/content/10.64898/2026.09.28.26364208v1
ER  -