A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

  1. Xiong, Z.
  2. Xia, Q.
  3. Hu, Z.
  4. Huang, N.
  5. Bian, C.
  6. Zheng, Y.
  7. Vesal, S.
  8. Ravikumar, N.
  9. Maier, A.
  10. Yang, X.
  11. Heng, P.-A.
  12. Ni, D.
  13. Li, C.
  14. Tong, Q.
  15. Si, W.
  16. Puybareau, E.
  17. Khoudli, Y.
  18. Géraud, T.
  19. Chen, C.
  20. Bai, W.
  21. Rueckert, D.
  22. Xu, L.
  23. Zhuang, X.
  24. Luo, X.
  25. Jia, S.
  26. Sermesant, M.
  27. Liu, Y.
  28. Wang, K.
  29. Borra, D.
  30. Masci, A.
  31. Corsi, C.
  32. de Vente, C.
  33. Veta, M.
  34. Karim, R.
  35. Preetha, C.J.
  36. Engelhardt, S.
  37. Qiao, M.
  38. Wang, Y.
  39. Tao, Q.
  40. Nuñez-Garcia, M.
  41. Camara, O.
  42. Savioli, N.
  43. Lamata, P.
  44. Zhao, J.
  45. Show all authors +
Journal:
Medical Image Analysis

ISSN: 1361-8423 1361-8415

Year of publication: 2021

Volume: 67

Type: Article

DOI: 10.1016/J.MEDIA.2020.101832 GOOGLE SCHOLAR