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researcher

K. Hoebel

10 papers hereh-index 171.2k citations43 works total

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

author position
  • first author2
  • middle author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.LG3
  • cs.CV2
same name
  • K. Hoebel — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedAssessing the validity of saliency maps for abnormality localization in medical imaging

17 citations · 36 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2021★ 3 cited

Evaluating subgroup disparity using epistemic uncertainty in mammography

Charles Lu, Andreanne Lemay, Katharina Hoebel +1

As machine learning (ML) continue to be integrated into healthcare systems that affect clinical decision making, new strategies will need to be incorporated in order to effectively…

cs.LG2021★ 4 cited

Addressing catastrophic forgetting for medical domain expansion

Sharut Gupta, Praveer Singh, Ken Chang +13

Model brittleness is a key concern when deploying deep learning models in real-world medical settings. A model that has high performance at one institution may suffer a significant…

cs.LG2020★ 2 cited

The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions

Sharut Gupta, Praveer Singh, Ken Chang +9

Model brittleness is a primary concern when deploying deep learning models in medical settings owing to inter-institution variations, like patient demographics and intra-institutio…

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