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Cited by 231Medical Imaging Techniques and ApplicationsGenerative Adversarial Networks and Image SynthesisArtificial Intelligence in Healthcare and Education

Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection

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Ben-Cohen, Avi, Klang, Eyal, Raskin, Stephen P., Soffer, Shelly, Ben-Haim, Simona, Konen, Eli, Amitai, Michal Marianne, Greenspan, Hayit·2019·Engineering Applications of Artificial Intelligence
DOI 10.1016/j.engappai.2018.11.013
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Crossref · 10.1016/j.engappai.2018.11.013

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  • GAN-based networks applied in cross-modality synthesis from CT to PET achieved improvement in automated lesion detection.

    “GAN-based networks were applied in cross-modality synthesis from CT to PET image, which achieved an improvement in automated lesion detection [156].”

    From Challenges in AI-driven Biomedical Multimodal Data Fusion and Analysis (2025) · cites this paper as [156]

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References 26 · Cited by 231

Authors
Ben-Cohen, A., Klang, E., Raskin, S. P., Soffer, S., Ben-Haim, S., Konen, E., Amitai, M. M., & Greenspan, H.
Affiliations
Tel Aviv University (IL)
Corresponding author
Ben-Cohen, Avi
ORCID
Venue
Engineering Applications of Artificial Intelligence
Publisher
Elsevier BV
Published
2019-02
Volume
78
Pages
186-194
ISSN
0952-1976 (ISSN-L)
DOI
10.1016/j.engappai.2018.11.013
OpenAlex
W2787887932
Cited by
231
References
26
Citations by year
2026: 11 · 2025: 27 · 2024: 32 · 2023: 36 · 2022: 31 · 2021: 46 · 2020: 22 · 2019: 22 · 2018: 4
FWCI
16.25
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Engineering Applications of Artificial Intelligence (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Israel Science Foundation (1918/16)
  • Buchmann Scholarships Fund, Israel
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
virtual pets, cross-modality image synthesis, fully convolutional network, conditional generative adversarial networks, automated lesion detection, false positive reduction, liver cancer detection

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