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Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction.
Aboian, Mariam; Bousabarah, Khaled; Kazarian, Eve; Zeevi, Tal; Holler, Wolfgang; Merkaj, Sara; Cassinelli Petersen, Gabriel; Bahar, Ryan; Subramanian, Harry; Sunku, Pranay; Schrickel, Elizabeth; Bhawnani, Jitendra; Zawalich, Mathew; Mahajan, Amit; Malhotra, Ajay; Payabvash, Sam; Tocino, Irena; Lin, MingDe; Westerhoff, Malte.
Afiliación
  • Aboian M; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Bousabarah K; Visage Imaging, GmbH, Berlin, Germany.
  • Kazarian E; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Zeevi T; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Holler W; Visage Imaging, GmbH, Berlin, Germany.
  • Merkaj S; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Cassinelli Petersen G; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Bahar R; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Subramanian H; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Sunku P; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Schrickel E; Department of Radiology and Biomedical Imaging, Brain Tumor Research Group, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Bhawnani J; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Zawalich M; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Mahajan A; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Malhotra A; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Payabvash S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Tocino I; Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT, United States.
  • Lin M; Department of Radiology, Yale University and Visage Imaging, New Haven, CT, United States.
  • Westerhoff M; Visage Imaging, GmbH, Berlin, Germany.
Front Neurosci ; 16: 860208, 2022.
Article en En | MEDLINE | ID: mdl-36312024

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Front Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Front Neurosci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos