◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. L. Burns

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedA Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals

6 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 1 cited

Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets

Ananth Reddy Bhimireddy, John Lee Burns, Saptarshi Purkayastha +1

Deep learning approaches applied to medical imaging have reached near-human or better-than-human performance on many diagnostic tasks. For instance, the CheXpert competition on det…

eess.IV2021★ 6 cited

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals

Ju Sun, Le Peng, Taihui Li +14

Importance: An artificial intelligence (AI)-based model to predict COVID-19 likelihood from chest x-ray (CXR) findings can serve as an important adjunct to accelerate immediate cli…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.