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researcher

E. Conant

2 papers hereh-index 5710.7k citations269 works total

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 citedDeep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment

74 citations · 74 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022

MammoFL: Mammographic Breast Density Estimation using Federated Learning

Ramya Muthukrishnan, Angelina Heyler, Keshava Katti +11

In this study, we automate quantitative mammographic breast density estimation with neural networks and show that this tool is a strong use case for federated learning on multi-ins…

eess.IV2020★ 74 cited

Deep-LIBRA: Artificial intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment

Omid Haji Maghsoudi, Aimilia Gastounioti, Christopher Scott +7

Breast density is an important risk factor for breast cancer that also affects the specificity and sensitivity of screening mammography. Current federal legislation mandates report…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.