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G. Kitamura

3 papers hereh-index 9558 citations16 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedKnowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification

11 citations · 20 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

Human not in the loop: objective sample difficulty measures for Curriculum Learning

Zhengbo Zhou, Jun Luo, Dooman Arefan +2

Curriculum learning is a learning method that trains models in a meaningful order from easier to harder samples. A key here is to devise automatic and objective difficulty measures…

eess.IV2021★ 11 cited

Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification

Jun Luo, Gene Kitamura, Dooman Arefan +3

Elbow fracture diagnosis often requires patients to take both frontal and lateral views of elbow X-ray radiographs. In this paper, we propose a multiview deep learning method for a…

eess.IV2021★ 9 cited

Medical Knowledge-Guided Deep Curriculum Learning for Elbow Fracture Diagnosis from X-Ray Images

Jun Luo, Gene Kitamura, Emine Doganay +2

Elbow fractures are one of the most common fracture types. Diagnoses on elbow fractures often need the help of radiographic imaging to be read and analyzed by a specialized radiolo…

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