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Naoki Nonaka

4 papers hereh-index 7197 citations18 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • eess.SP1
  • q-bio.GN1
same name
  • Naoki Nonaka — 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
20182025
most citedData Augmentation for Electrocardiogram Classification with Deep Neural Network

21 citations · 32 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2025

Syn-STARTS: Synthesized START Triage Scenario Generation Framework for Scalable LLM Evaluation

Chiharu Hagiwara, Naoki Nonaka, Yuhta Hashimoto +2

Triage is a critically important decision-making process in mass casualty incidents (MCIs) to maximize victim survival rates. While the role of AI in such situations is gaining att…

q-bio.GN2022★ 3 cited

Efficient HLA imputation from sequential SNPs data by Transformer

Kaho Tanaka, Kosuke Kato, Naoki Nonaka +1

Human leukocyte antigen (HLA) genes are associated with a variety of diseases, however direct typing of HLA is time and cost consuming. Thus various imputation methods using sequen…

eess.SP2020★ 21 cited

Data Augmentation for Electrocardiogram Classification with Deep Neural Network

Naoki Nonaka, Jun Seita

Electrocardiogram (ECG) is the most crucial monitoring modality to diagnose cardiovascular events. Precise and automatic detection of abnormal ECG patterns is beneficial to both ph…

cs.CV2018★ 8 cited

General-to-Detailed GAN for Infrequent Class Medical Images

Tatsuki Koga, Naoki Nonaka, Jun Sakuma +1

Deep learning has significant potential for medical imaging. However, since the incident rate of each disease varies widely, the frequency of classes in a medical image dataset is…

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