U-Net (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "U-Net" in Chinese language version.

Last modified: 02:47:46, 25 May 2026 (UTC)

Ref.Un. Ref.Website

Global rank Chinese rank

116arxiv.org

49^th place

158^th place

95doi.org

2^nd place

5^th place

84nih.gov

5^th place

3^rd place

52semanticscholar.org

15^th place

141^st place

33web.archive.org

1^st place

11uni-freiburg.de

5,193^rd place

8,812^th place

11upenn.edu

784^th place

1,119^th place

11sliver07.org

low place

11worldcat.org

4^th place

arxiv.org (Global: 49^th place; Chinese: 158^th place)

Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation. 2015. arXiv:1505.04597  [cs.CV].
Shelhamer E, Long J, Darrell T. Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017-04, 39 (4): 640–651. PMID 27244717. S2CID 1629541. arXiv:1411.4038 . doi:10.1109/TPAMI.2016.2572683.
Ho, Jonathan. Denoising Diffusion Probabilistic Models. 2020. arXiv:2006.11239 .
Çiçek Ö, Abdulkadir A, Lienkamp SS, Brox T, Ronneberger O. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. 2016. arXiv:1606.06650  [cs.CV].
Iglovikov V, Shvets A. TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation. 2018. arXiv:1801.05746  [cs.CV].
Kandel ME, He YR, Lee YJ, Chen TH, Sullivan KM, Aydin O, et al. Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments. Nature Communications. December 2020, 11 (1): 6256. PMC 7721808 . PMID 33288761. arXiv:2002.08361 . doi:10.1038/s41467-020-20062-x.

doi.org (Global: 2^nd place; Chinese: 5^th place)

Shelhamer E, Long J, Darrell T. Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017-04, 39 (4): 640–651. PMID 27244717. S2CID 1629541. arXiv:1411.4038 . doi:10.1109/TPAMI.2016.2572683.
Nazem F, Ghasemi F, Fassihi A, Dehnavi AM. 3D U-Net: A voxel-based method in binding site prediction of protein structure. Journal of Bioinformatics and Computational Biology. 2021-04, 19 (2): 2150006. PMID 33866960. doi:10.1142/S0219720021500062.
Andersson J, Ahlström H, Kullberg J. Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. Magnetic Resonance in Medicine. 2019-09, 82 (3): 1177–1186. PMC 6618066 . PMID 31033022. doi:10.1002/mrm.27786.
Yao W, Zeng Z, Lian C, Tang H. Pixel-wise regression using U-Net and its application on pansharpening. Neurocomputing. 2018-10-27, 312: 364–371. ISSN 0925-2312. S2CID 207119255. doi:10.1016/j.neucom.2018.05.103.
Kandel ME, He YR, Lee YJ, Chen TH, Sullivan KM, Aydin O, et al. Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments. Nature Communications. December 2020, 11 (1): 6256. PMC 7721808 . PMID 33288761. arXiv:2002.08361 . doi:10.1038/s41467-020-20062-x.

nih.gov (Global: 5^th place; Chinese: 3^rd place)

ncbi.nlm.nih.gov

Shelhamer E, Long J, Darrell T. Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017-04, 39 (4): 640–651. PMID 27244717. S2CID 1629541. arXiv:1411.4038 . doi:10.1109/TPAMI.2016.2572683.
Nazem F, Ghasemi F, Fassihi A, Dehnavi AM. 3D U-Net: A voxel-based method in binding site prediction of protein structure. Journal of Bioinformatics and Computational Biology. 2021-04, 19 (2): 2150006. PMID 33866960. doi:10.1142/S0219720021500062.
Andersson J, Ahlström H, Kullberg J. Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks. Magnetic Resonance in Medicine. 2019-09, 82 (3): 1177–1186. PMC 6618066 . PMID 31033022. doi:10.1002/mrm.27786.
Kandel ME, He YR, Lee YJ, Chen TH, Sullivan KM, Aydin O, et al. Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments. Nature Communications. December 2020, 11 (1): 6256. PMC 7721808 . PMID 33288761. arXiv:2002.08361 . doi:10.1038/s41467-020-20062-x.

semanticscholar.org (Global: 15^th place; Chinese: 141^st place)

api.semanticscholar.org

Shelhamer E, Long J, Darrell T. Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2017-04, 39 (4): 640–651. PMID 27244717. S2CID 1629541. arXiv:1411.4038 . doi:10.1109/TPAMI.2016.2572683.
Yao W, Zeng Z, Lian C, Tang H. Pixel-wise regression using U-Net and its application on pansharpening. Neurocomputing. 2018-10-27, 312: 364–371. ISSN 0925-2312. S2CID 207119255. doi:10.1016/j.neucom.2018.05.103.

sliver07.org (Global: low place; Chinese: low place)

SLIVER07 : Home. www.sliver07.org. [2018-12-24]. （原始内容存档于2008-05-29）.

uni-freiburg.de (Global: 5,193^rd place; Chinese: 8,812^th place)

lmb.informatik.uni-freiburg.de

U-Net code. [2023-02-26]. （原始内容存档于2015-06-20）.

upenn.edu (Global: 784^th place; Chinese: 1,119^th place)

med.upenn.edu

MICCAI BraTS 2017: Scope | Section for Biomedical Image Analysis (SBIA) | Perelman School of Medicine at the University of Pennsylvania. www.med.upenn.edu. [2018-12-24]. （原始内容存档于2017-05-25）.

web.archive.org (Global: 1^st place; Chinese: 1^st place)

U-Net code. [2023-02-26]. （原始内容存档于2015-06-20）.
MICCAI BraTS 2017: Scope | Section for Biomedical Image Analysis (SBIA) | Perelman School of Medicine at the University of Pennsylvania. www.med.upenn.edu. [2018-12-24]. （原始内容存档于2017-05-25）.
SLIVER07 : Home. www.sliver07.org. [2018-12-24]. （原始内容存档于2008-05-29）.

worldcat.org (Global: 4^th place; Chinese: 4^th place)

Yao W, Zeng Z, Lian C, Tang H. Pixel-wise regression using U-Net and its application on pansharpening. Neurocomputing. 2018-10-27, 312: 364–371. ISSN 0925-2312. S2CID 207119255. doi:10.1016/j.neucom.2018.05.103.

U-Net (Chinese Wikipedia)

arxiv.org (Global: 49th place; Chinese: 158th place)

doi.org (Global: 2nd place; Chinese: 5th place)

nih.gov (Global: 5th place; Chinese: 3rd place)