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Fully-automated deep learning-based flow quantification of 2D CINE phase contrast MRI.
Pradella, Maurice; Scott, Michael B; Omer, Muhammad; Hill, Seth K; Lockhart, Lisette; Yi, Xin; Amir-Khalili, Alborz; Sojoudi, Alireza; Allen, Bradley D; Avery, Ryan; Markl, Michael.
Afiliación
  • Pradella M; Department of Radiology, Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL, 60611, USA. maurice.pradella@northwestern.edu.
  • Scott MB; Department of Radiology, University Hospital Basel, University of Basel, Petersgraben 4, 4031, Basel, Switzerland. maurice.pradella@northwestern.edu.
  • Omer M; Department of Radiology, Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Hill SK; Circle Cardiovascular Imaging Inc., 800 5th Avenue SW, Suite 1100, Calgary, AB, Canada.
  • Lockhart L; Department of Radiology, Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Yi X; Circle Cardiovascular Imaging Inc., 800 5th Avenue SW, Suite 1100, Calgary, AB, Canada.
  • Amir-Khalili A; Circle Cardiovascular Imaging Inc., 800 5th Avenue SW, Suite 1100, Calgary, AB, Canada.
  • Sojoudi A; Circle Cardiovascular Imaging Inc., 800 5th Avenue SW, Suite 1100, Calgary, AB, Canada.
  • Allen BD; Circle Cardiovascular Imaging Inc., 800 5th Avenue SW, Suite 1100, Calgary, AB, Canada.
  • Avery R; Department of Radiology, Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
  • Markl M; Department of Radiology, Northwestern University, 737 N Michigan Ave, Suite 1600, Chicago, IL, 60611, USA.
Eur Radiol ; 33(3): 1707-1718, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36307551
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Guideline Límite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos