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Cien Fan

Biographic Data

ID10017189
NAMECien Fan
GIVEN NAMESCien
FAMILY NAMEFan
SIGNATUREFAN C
AFFILIATIONSWuhan University
ORCID0000-0002-4973-6444
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Symmetrical awareness network for cross-site ultrasound thyroid nodule segmentation

    Open Access•Wenxuan Ma, Xiaopeng Li et al.•ARTICLE•Frontiers in Public Health•2023

    Recent years have seen remarkable progress of learning-based methods on Ultrasound Thyroid Nodules segmentation. However, with very limited annotations, the multi-site training data from different domains makes the task remain challenging. Due to domain shift, the existing methods cannot be well generalized to the out-of-set data, which limits the practical application of deep learning in the field of medical imaging. In this work, we propose an …

  • Automated Multi-View Multi-Modal Assessment of Covid-19 Patients Using Reciprocal Attention and Biomedical Transform

    Open Access•Yanhan Li, Hongyun Zhao et al.•ARTICLE•Frontiers in Public Health•2022

    Automated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of CO…

No prominent works on this page.

  • Automated Multi-View Multi-Modal Assessment of Covid-19 Patients Using Reciprocal Attention and Biomedical Transform

    Open Access•Yanhan Li, Hongyun Zhao et al.•ARTICLE•Frontiers in Public Health•2022

    Automated severity assessment of coronavirus disease 2019 (COVID-19) patients can help rationally allocate medical resources and improve patients' survival rates. The existing methods conduct severity assessment tasks mainly on a unitary modal and single view, which is appropriate to exclude potential interactive information. To tackle the problem, in this paper, we propose a multi-view multi-modal model to automatically assess the severity of CO…

  • Symmetrical awareness network for cross-site ultrasound thyroid nodule segmentation

    Open Access•Wenxuan Ma, Xiaopeng Li et al.•ARTICLE•Frontiers in Public Health•2023

    Recent years have seen remarkable progress of learning-based methods on Ultrasound Thyroid Nodules segmentation. However, with very limited annotations, the multi-site training data from different domains makes the task remain challenging. Due to domain shift, the existing methods cannot be well generalized to the out-of-set data, which limits the practical application of deep learning in the field of medical imaging. In this work, we propose an …

AI in cancer detection (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Artificial Intelligence in Healthcare and Education (1 work) · Artificial neural network (1 work) · Computer vision (1 work) · COVID-19 diagnosis using AI (1 work) · Data mining (1 work) · Deep learning (1 work) · Disease (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae