Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery

Authors

Hsing-Hao Ho (ORCID: https://orcid.org/0000-0001-5099-9420)
Wuyang Yang (ORCID: https://orcid.org/0000-0001-5934-7795)
Hsiu‐Mei Wu (ORCID: https://orcid.org/0000-0001-6466-3792)
Huai‐Che Yang (ORCID: https://orcid.org/0000-0002-4949-5417)
Ching‐Jen Chen (ORCID: https://orcid.org/0000-0002-7830-9273)
Syu‐Jyun Peng (ORCID: https://orcid.org/0000-0001-5002-6581)
Cheng‐Chia Lee (ORCID: https://orcid.org/0000-0003-4691-2913)
I‐Chun Lai (ORCID: https://orcid.org/0000-0002-4027-7886)

Institutions

National United University (TW)
National Yang Ming Chiao Tung University (TW)
Taipei Veterans General Hospital (TW)
Taipei City Hospital (TW)
The University of Texas Health Science Center at Houston (US)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-07-01
DOI: https://doi.org/10.1186/s12880-025-01796-w
Citations: 1
Primary Topic: Vascular Malformations Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 1.39

Funders

Taipei Veterans General Hospital
National Science and Technology Council

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article

Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery

Hsing-Hao Ho, Wuyang Yang, Hsiu‐Mei Wu, Huai‐Che Yang et al.

Jul 1, 2025

1 citations

BMC Medical Imaging

Vascular Malformations Diagnosis and Treatment

1.39

article

Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery

Hsing-Hao Ho, Wuyang Yang, Hsiu‐Mei Wu, Huai‐Che Yang, Ching‐Jen Chen, Syu‐Jyun Peng, Cheng‐Chia Lee, I‐Chun Lai

July 1, 2025article en

1 citations

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

National United University (TW), National Yang Ming Chiao Tung University (TW), Taipei Veterans General Hospital (TW), Taipei City Hospital (TW), The University of Texas Health Science Center at Houston (US)

Taipei Veterans General Hospital, National Science and Technology Council

Peace, Justice and strong institutions

Openalex Percentile: Top 18%

Vascular Malformations Diagnosis and Treatment

1.39

DOI Open Access PDF OpenAlex

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Deep learning for automated segmentation of radiation-induced changes in cerebral arteriovenous malformations following radiosurgery — Hsing-Hao Ho, Wuyang Yang, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS