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Li-Jia Li

2 papers hereh-index 339 citations5 works total

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

author position
  • middle author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • eess.IV2
same name
  • Li-Jia Li — 18 papers, h 37
  • Li-Jia Li — 3 papers
  • Li-jia Li — 2 papers, h 2
  • Li-Jia Li — 2 papers, h 3

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

most citedUSE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

32 citations · 45 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 13 cited

Non-inferiority of Deep Learning Acute Ischemic Stroke Segmentation on Non-Contrast CT Compared to Expert Neuroradiologists

Sophie Ostmeier, Brian Axelrod, Benjamin F. J. Verhaaren +7

To determine if a convolutional neural network (CNN) deep learning model can accurately segment acute ischemic changes on non-contrast CT compared to neuroradiologists. Non-contras…

eess.IV2022★ 32 cited

USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations

Sophie Ostmeier, Brian Axelrod, Jeroen Bertels +6

Performance metrics for medical image segmentation models are used to measure the agreement between the reference annotation and the predicted segmentation. Usually, overlap metric…

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