Open Access
Issue
A&A
Volume 671, March 2023
Article Number A39
Number of page(s) 13
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202245139
Published online 03 March 2023
  1. Bergstra, J., Bardenet, R., Bengio, Y., & Kégl, B. 2011, Advances in Neural Information Processing Systems, 24 [Google Scholar]
  2. Bertels, J., Eelbode, T., Berman, M., et al. 2019, Lecture Notes in Computer Science, 11765, 92 [Google Scholar]
  3. Bonaldi, A., An, T., Brüggen, M., et al. 2021, MNRAS, 500, 3821 [Google Scholar]
  4. Braun, R., Bourke, T., Green, J. A., Keane, E., & Wagg, J. 2015, in Advancing Astrophysics with the Square Kilometre Array (AASKA14), 174 [Google Scholar]
  5. Çiçek, Ö., Abdulkadir, A., Lienkamp, S. S., Brox, T., & Ronneberger, O. 2016, Lecture Notes in Computer Science, 9901, 424 [CrossRef] [Google Scholar]
  6. De Blok, W. J., Walter, F., Brinks, E., et al. 2008, AJ, 136, 2648 [NASA ADS] [CrossRef] [Google Scholar]
  7. Everingham, M., Van Gool, L., Williams, C. K., Winn, J., & Zisserman, A. 2009, Int. J. Comput. Vis., 88, 303 [Google Scholar]
  8. Giovanelli, R., & Haynes, M. P. 2015, A&ARv, 24, 1 [Google Scholar]
  9. Glorot, X., Bordes, A., & Bengio, Y. 2011, Proceedings of Machine Learning Research, 15, 315 [Google Scholar]
  10. González, R. E., Muñoz, R. P., & Hernández, C. A. 2018, Astron. Comput., 25, 103 [CrossRef] [Google Scholar]
  11. He, K., Zhang, X., Ren, S., & Sun, J. 2016, Deep Residual Learning for Image Recognition [Google Scholar]
  12. Ioffe, S., & Szegedy, C. 2015, Proceedings of Machine Learning Research, 37, 448 [Google Scholar]
  13. Isensee, F., Kickingereder, P., Wick, W., Bendszus, M., & Maier-Hein, K. H. 2018, Lecture Notes in Computer Science, 11384, 234 [Google Scholar]
  14. Jadon, S. 2020, 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2020 [Google Scholar]
  15. Kingma, D. P., & Ba, J. 2014, 3rd International Conference on Learning Representations, ICLR 2015 – Conference Track Proceedings [Google Scholar]
  16. LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature 521, 436 [Google Scholar]
  17. Lin, T. Y., Maire, M., Belongie, S., et al. 2014, Lecture Notes in Computer Science, 8693, 740 [CrossRef] [Google Scholar]
  18. Liu, X., Deng, Z., & Yang, Y. 2018, Artif. Intell. Rev., 52, 1089 [Google Scholar]
  19. Lukic, V., Brüggen, M., Banfield, J. K., et al. 2018, MNRAS, 476, 246 [NASA ADS] [CrossRef] [Google Scholar]
  20. Lukic, V., Gasperin, F. D., & Brüggen, M. 2019, Galaxies, 8, 3 [NASA ADS] [CrossRef] [Google Scholar]
  21. Luo, W., Li, Y., Urtasun, R., & Zemel, R. 2016, Adv. Neural Inform. Process. Syst., 29 [Google Scholar]
  22. Masters, K. L., & Galaxy Zoo Team 2020, in Galactic Dynamics in the Era of Large Surveys, 353, eds. M. Valluri, & J. A. Sellwood, 205 [NASA ADS] [Google Scholar]
  23. Milletari, F., Navab, N., & Ahmadi, S. A. 2016, Proceedings – 2016 4th International Conference on 3D Vision, 3DV 2016, 565 [Google Scholar]
  24. Minaee, S., Boykov, Y. Y., Porikli, F., et al. 2021, IEEE Trans. Pattern Analy. Mach. Intell., 44, 3523 [Google Scholar]
  25. Nelson, S. 2008, Nature, 455, 36 [NASA ADS] [CrossRef] [Google Scholar]
  26. Nordström, M., Bao, H., Löfman, F., et al. 2020, Lecture Notes in Computer Science, 12264, 269 [CrossRef] [Google Scholar]
  27. Padilla, R., Netto, S. L., & Da Silva, E. A. 2020, International Conference on Systems, Signals, and Image Processing, 2020 July, 237 [Google Scholar]
  28. Ronneberger, O., Fischer, P., & Brox, T. 2015, Lecture Notes in Computer Science, 9351, 234 [CrossRef] [Google Scholar]
  29. Serra, P., Jurek, R., & Fler, L. 2012, PASA, 29, 296 [NASA ADS] [CrossRef] [Google Scholar]
  30. Serra, P., Westmeier, T., Giese, N., et al. 2015, MNRAS, 448, 1922 [Google Scholar]
  31. Taghanaki, S. A., Zheng, Y., Kevin Zhou, S., et al. 2019, Comput. Med. Imaging Graph., 75, 24 [CrossRef] [Google Scholar]
  32. Thoma, M. 2016, ArXiv e-prints [arXiv:1602.06541] [Google Scholar]
  33. Tian, C., Fei, L., Zheng, W., et al. 2020, Neural Netwo., 131, 251 [CrossRef] [Google Scholar]
  34. van de Hulst, H. C. 1945, Nederlandsch Tijdschrift voor Natuurkunde, 11, 210 [Google Scholar]
  35. Westmeier, T., Kitaeff, S., Pallot, D., et al. 2021, MNRAS, 506, 3962 [NASA ADS] [CrossRef] [Google Scholar]
  36. Whiting, M. T. 2012, MNRAS, 421, 3242 [NASA ADS] [CrossRef] [Google Scholar]
  37. Whiting, M., & Humphreys, B. 2012, PASA, 29, 371 [NASA ADS] [CrossRef] [Google Scholar]
  38. Yakubovskiy, P. 2020, Segmentation Models Pytorch, https://github.com/qubvel/segmentation_models.pytorch [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.