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This paper introduces a network for volumetric segmentation that learns from sparsely annotated volumetric images.
Nieuwkoop, P., Faber, J.: Normal Table of Xenopus laevis (Daudin)(Garland, New York) (1994)
1994
Earlier work this paper cites.
Emmenlauer, M., Ronneberger, O., Ponti, A., Schwarb, P., Griffa, A., Filippi, A., Nitschke, R., Driever, W., Burkhardt, H.: Xuvtools: free, fast and reliable stitching of large 3d datasets. J Microscopy 233(1), 42–60 (2009)
2009
Earlier work this paper cites.
Lienkamp, S., Ganner, A., Boehlke, C., Schmidt, T., Arnold, S.J., Schäfer, T., Romaker, D., Schuler, J., Hoff, S., Powelske, C., Eifler, A., Krönig, C., Bullerkotte, A., Nitschke, R., Kuehn, E.W., Kim, E., Burkhardt, H., Brox, T., Ronneberger, O., Gloy, J., Walz, G.: Inversin relays frizzled-8 signals to promote proximal pronephros development. PNAS 107(47), 20388–20393 (2010)
2010
Earlier work this paper cites.
Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.C., Pujol, S., Bauer, C., Jennings, D., Fennessy, F., Sonka, M., et al.: 3D slicer as an image computing platform for the quantitative imaging network. J. Magn Reson Imaging 30(9), 1323–1341 (2012)
2012
Earlier work this paper cites.
Seyedhosseini, M., Sajjadi, M., Tasdizen, T.: Image segmentation with cascaded hierarchical models and logistic disjunctive normal networks. In: Proc. ICCV. pp. 2168–2175 (2013)
2013
Earlier work this paper cites.
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: Caffe: Convolutional architecture for fast feature embedding. In: Proc. ACMMM. pp. 675–678 (2014)
2014
Cited alongside, same era.
Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: Hypercolumns for object segmentation and fine-grained localization. In: Proc. CVPR. pp. 447–456 (2015)
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proc. CVPR. pp. 3431–3440 (2015)
2015
Cited alongside, same era.
Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: MICCAI. LNCS, vol. 9351, pp. 234–241. Springer (2015)
2015
Later among the works it cites.
2015
Later among the works it cites.
Kleesiek, J., Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., Biller, A.: Deep mri brain extraction: A 3d convolutional neural network for skull stripping. NeuroImage (2016)
2016
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2016
Closest in time.
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2015
Cited alongside, same era.