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E. Oermann

31 papers hereh-index 408.8k citations262 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author23

Across the 27 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CL17
  • cs.LG7
  • cs.AI3
  • cs.CV2
  • cs.CY1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedConfounding variables can degrade generalization performance of radiological deep learning models

1.7k citations · 1.7k across the 28 of their papers we have counts for

collaborators
Showing 2021 · cs.LGShow all

3 papers · 2 filters

cs.LG2021

Identifying and mitigating bias in algorithms used to manage patients in a pandemic

Yifan Li, Garrett Yoon, Mustafa Nasir-Moin +4

Numerous COVID-19 clinical decision support systems have been developed. However many of these systems do not have the merit for validity due to methodological shortcomings includi…

cs.LG2021★ 1 cited

Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer

Brian Murphy, Mustafa Nasir-Moin, Grace von Oiste +4

The prognosis for patients with epithelial ovarian cancer remains dismal despite improvements in survival for other cancers. Treatment involves multiple lines of chemotherapy and b…

cs.LG2021★ 5 cited

Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations

Aahlad Puli, Lily H. Zhang, Eric K. Oermann +1

In many prediction problems, spurious correlations are induced by a changing relationship between the label and a nuisance variable that is also correlated with the covariates. For…

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