Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data-Reference-Cited by-同舟云学术

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Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data

Published:2024-06-04 Issue: Volume:123 Page:1-3
ISSN:
Container-title:Proceedings of the 2024 Symposium on Eye Tracking Research and Applications
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Author:

Nagasawa Junichi¹^ORCID,Nakata Yuichi¹^ORCID,Hiroe Mamoru²^ORCID,Zheng Yujia³^ORCID,Kawaguchi Yutaka³^ORCID,Maegawa Yuji³^ORCID,Hojo Naoki³^ORCID,Takiguchi Tetsuya³^ORCID,Nakayama Minoru⁴^ORCID,Uchimura Maki³^ORCID,Sonoda Yuma³^ORCID,Kowa Hisatomo³^ORCID,Nagamatsu Takashi³^ORCID

Affiliation:

1. Kobe University, Japan and Kwansei Gakuin University, Japan

2. Osaka Seikei University, Japan and Kobe University, Japan

3. Kobe University, Japan

4. Tokyo Institute of Technology, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649902.3655650

Reference7 articles.

1. The Effects of Previous Error and Success in Alzheimer’s Disease and Mild Cognitive Impairment

2. Executive deficits detected in mild Alzheimer's disease using the antisaccade task

3. Research on Screening for Dementia by Analyzing Eye Gaze Data. IEICE Technical Report; IEICE;Maegawa Yuji;Tech. Rep.,2023

4. Eye Movements in Alzheimer's Disease

5. Classification of Alzheimer's Disease with Deep Learning on Eye-tracking Data

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