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California Pacific Medical Center

United States

2 papers here1.7k citations across 2
fields
  • cs.CV1
  • q-bio.GN1
ROR 02bjh0167OpenAlex

affiliations via OpenAlex

most citedConfounding variables can degrade generalization performance of radiological deep learning models

1.7k citations

researchers with a paper here
  • A. Costa1 · h 20
  • E. Oermann1 · h 40
  • J. Mattick1 · h 119
  • J. Titano1 · h 16
  • J. Zech1 · h 13
  • Manway Liu1 · h 19
  • Marcus A. Badgeley1 · h 19
  • R. Taft1 · h 60
collaborating institutions
  • Icahn School of Medicine at Mount SinaiUS1 paper
  • The University of QueenslandAU1 paper
  • University of California, DavisUS1 paper
  • Verily Life Sciences LLC (United States)US1 paper

2 papers

cs.CV2018★ 1.7k cited

Confounding variables can degrade generalization performance of radiological deep learning models

John R. Zech, Marcus A. Badgeley, Manway Liu +3

Early results in using convolutional neural networks (CNNs) on x-rays to diagnose disease have been promising, but it has not yet been shown that models trained on x-rays from one…

q-bio.GN2004★ 9 cited

Increasing biological complexity is positively correlated with the relative genome-wide expansion of non-protein-coding DNA sequences

R. J. Taft, J. S. Mattick

Background: Prior to the current genomic era it was suggested that the number of protein-coding genes that an organism made use of was a valid measure of its complexity. It is now…

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