Deep Learning Techniques for Automatic MRI Cardiac Multistructures Segmentation and Diagnosis: Is the Problem Solved?

  • Authors
  • Bernard O, Lalande A, Zotti C, Cervenansky F, Yang X, Heng P, Cetin I, Lekadir K, Camara O, Ballester M, Sanroma G, Napel S, Petersen S, Tziritas G, Grinias E, Khened M, Kollerathu V, Krishnamurthi G, Rohe M, Pennec X, Sermesant M, Isensee F, Jager P, Maier-Hein K.
  • UPF authors
  • LEKADIR ., KARIM; GONZALEZ BALLESTER, MIGUEL ANGEL;
  • Type
  • Scholarly articles
  • Journal títle
  • IEEE Transactions on Medical Imaging
  • Publication year
  • 2018
  • Volume
  • 37
  • Number
  • 11
  • Pages
  • 2514-2525
  • ISSN
  • 0278-0062
  • Publication State
  • Published
  • Complete citation
  • Bernard O, Lalande A, Zotti C, Cervenansky F, Yang X, Heng P, Cetin I, Lekadir K, Camara O, Ballester M, Sanroma G, Napel S, Petersen S, Tziritas G, Grinias E, Khened M, Kollerathu V, Krishnamurthi G, Rohe M, Pennec X, Sermesant M, Isensee F, Jager P, Maier-Hein K.. Deep Learning Techniques for Automatic MRI Cardiac Multistructures Segmentation and Diagnosis: Is the Problem Solved?. IEEE Transactions on Medical Imaging 2018; 37(11): 2514-2525.
Bibliometric indicators
  • 217 times cited Scopus
  • 1 times cited WOS
  • Índex Scimago de 2.188(2018)