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Learning metal artifact reduction in cardiac CT images with moving pacemakers.
Lossau Née Elss, T; Nickisch, H; Wissel, T; Morlock, M; Grass, M.
Affiliation
  • Lossau Née Elss T; Philips Research, Hamburg, Germany; Hamburg University of Technology, Germany. Electronic address: tanja.lossau@philips.com.
  • Nickisch H; Philips Research, Hamburg, Germany.
  • Wissel T; Philips Research, Hamburg, Germany.
  • Morlock M; Hamburg University of Technology, Germany.
  • Grass M; Philips Research, Hamburg, Germany.
Med Image Anal ; 61: 101655, 2020 04.
Article in En | MEDLINE | ID: mdl-32092679
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pacemaker, Artificial / Tomography, X-Ray Computed / Neural Networks, Computer / Artifacts / Supervised Machine Learning Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Country of publication: Netherlands
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pacemaker, Artificial / Tomography, X-Ray Computed / Neural Networks, Computer / Artifacts / Supervised Machine Learning Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2020 Document type: Article Country of publication: Netherlands