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Cited by 6Multimodal Machine Learning ApplicationsMedical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Visual Grounding of Whole Radiology Reports for 3D CT Images

Open access
Ichinose, Akimichi, Hatsutani, Taro, Nakamura, Keigo, Kitamura, Yoshiro, Iizuka, Satoshi, Simo-Serra, Edgar, Kido, Shoji, Tomiyama, Noriyuki·2023·Lecture Notes in Computer Science
DOI 10.1007/978-3-031-43904-9_59
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Integrity signals

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Crossref · 10.1007/978-3-031-43904-9_59

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2 of 2 references verified0 citation errors · 0 not checkable

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  • RadFact-Llama3 shows high alignment with the errors spotted by radiologists in the ReXVal dataset.

    “RadFact-Llama3 shows high alignment with the errors spotted by radiologists in the ReXVal dataset.47”

    From MAIRA-2: Grounded Radiology Report Generation (2024) · cites this paper as [47]

Cites

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  • MAIRA-2: Grounded Radiology Report Generation

    Bannur, S., Bouzid, K., Castro, D. C., Schwaighofer, A., Thieme, A., Bond-Taylor, S., Ilse, M., Pérez-García, F., Salvatelli, V., Sharma, H., et al. (2024) · arXiv · doi:10.48550/arxiv.2406.04449 · Cited by 19 · see citing works

    “Grounded reporting differs from the existing task of medical phrase grounding (MPG) (Müller et al., 2024; Ichinose et al., 2023; Zou et al., 2024; Boecking et al., 2022) in that MPG aims to ground a specified finding or phrase, typically assumed present within the image.”
    Method

Authors
Ichinose, A., Hatsutani, T., Nakamura, K., Kitamura, Y., Iizuka, S., Simo-Serra, E., Kido, S., & Tomiyama, N.
Affiliations
  • Fujifilm (Japan) (JP)
  • University of Tsukuba (JP)
  • The University of Osaka (JP)
Corresponding author
Ichinose, Akimichi
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer Nature Switzerland
Published
2023
Pages
611-621
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-031-43904-9_59
OpenAlex
W4387211952
Cited by
6
References
2
Citations by year
2026: 2 · 2025: 3 · 2024: 1
FWCI
0.64
Type
conference paper
Language
en
Open access
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion, cc-by-nc-sa)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
visual grounding, radiology reports, CT images, medical image annotation, anatomical segmentation, anomaly localization

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