{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,21]],"date-time":"2025-12-21T21:00:08Z","timestamp":1766350808645,"version":"3.37.3"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"9-11","license":[{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Key Research and Development Program of China","award":["No. 2019YFC1521104"],"award-info":[{"award-number":["No. 2019YFC1521104"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 61972157"],"award-info":[{"award-number":["No. 61972157"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Economy and Informatization Commission of Shanghai Municipality","award":["No. XX-RGZN-01-19-6348"],"award-info":[{"award-number":["No. XX-RGZN-01-19-6348"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s00371-021-02236-w","type":"journal-article","created":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T20:02:22Z","timestamp":1627070542000},"page":"2855-2867","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Unsupervised face super-resolution via gradient enhancement and semantic guidance"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9188-1768","authenticated-orcid":false,"given":"Luying","family":"Li","sequence":"first","affiliation":[]},{"given":"Junshu","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Zhou","family":"Ye","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Sheng","sequence":"additional","affiliation":[]},{"given":"Lijuan","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Lizhuang","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,7,23]]},"reference":[{"issue":"3","key":"2236_CR1","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1016\/j.sigpro.2009.09.002","volume":"90","author":"L Zhang","year":"2010","unstructured":"Zhang, L., Zhang, H., Shen, H., Li, P.: A super-resolution reconstruction algorithm for surveillance images. Signal Process. 90(3), 848\u2013859 (2010)","journal-title":"Signal Process."},{"issue":"10","key":"2236_CR2","doi-asserted-by":"publisher","first-page":"1664","DOI":"10.1109\/TVCG.2012.176","volume":"19","author":"Yongwei Nie","year":"2012","unstructured":"Nie, Yongwei, Xiao, C., Sun, H., Li, P.: Compact video synopsis via global spatiotemporal optimization. IEEE Trans. Visual. Comput. Graphics 19(10), 1664\u20131676 (2012)","journal-title":"IEEE Trans. Visual. Comput. Graphics"},{"key":"2236_CR3","doi-asserted-by":"crossref","unstructured":"Amaranageswarao, G., Deivalakshmi, S., Ko, S.-B.: Joint restoration convolutional neural network for low-quality image super resolution. Vis. Comput., pp. 1\u201320 (2020). https:\/\/doi.org\/10.1007\/s00371-020-01998-z","DOI":"10.1007\/s00371-020-01998-z"},{"issue":"1","key":"2236_CR4","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1109\/TIP.2011.2162423","volume":"21","author":"WWW Zou","year":"2011","unstructured":"Zou, W.W.W.: Very low resolution face recognition problem. IEEE Trans. Image Process. 21(1), 327\u2013340 (2011)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"2236_CR5","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/s00371-013-0861-x","volume":"30","author":"Z Wang","year":"2014","unstructured":"Wang, Z., Miao, Z., Wu, Q.M.J., Wan, Y., Tang, Z.: Low-resolution face recognition: a review. Vis. Comput. 30(4), 359\u2013386 (2014)","journal-title":"Vis. Comput."},{"key":"2236_CR6","doi-asserted-by":"crossref","unstructured":"Ledig, C., Theis, L., Huszar, F., Caballero, J., et\u00a0al.: Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4681\u20134690 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"2236_CR7","doi-asserted-by":"crossref","unstructured":"Wang, X., Yu, K., Wu, S., Gu, J., Liu, Y., Dong, C., Qiao, Y., Change\u00a0L. C., Esrgan: Enhanced super-resolution generative adversarial networks, In: Proceedings of the European Conference on Computer Vision, pp. 0\u20130 (2018)","DOI":"10.1007\/978-3-030-11021-5_5"},{"key":"2236_CR8","doi-asserted-by":"crossref","unstructured":"Ma, C., Rao, Y., Cheng, Y., Chen, C., Lu, J., Zhou, J.: Structure-preserving super resolution with gradient guidance. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7769\u20137778 (2020)","DOI":"10.1109\/CVPR42600.2020.00779"},{"key":"2236_CR9","unstructured":"Goodfellow, I.\u00a0J., Pouget-Abadie, J., Mirza, M., Bing, X., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: Generative adversarial nets, In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"key":"2236_CR10","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Proceedings of the European Conference on Computer Vision. Springer, pp. 694\u2013711 (2016)","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"2236_CR11","first-page":"12693","volume":"34","author":"Y Yin","year":"2020","unstructured":"Yin, Y., Robinson, J., Zhang, Y., Fu, Y.: Joint super-resolution and alignment of tiny faces. Proc. AAAI Conf. Artif. Intell. 34, 12693\u201312700 (2020)","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"2236_CR12","doi-asserted-by":"crossref","unstructured":"Chen, Y., Tai, Y., Liu, X., Shen, C., Yang, J.: Fsrnet: end-to-end learning face super-resolution with facial priors. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition pp. 2492\u20132501 (2018)","DOI":"10.1109\/CVPR.2018.00264"},{"key":"2236_CR13","doi-asserted-by":"crossref","unstructured":"Zhao, T., Zhang, C.: Saan: semantic attention adaptation network for face super-resolution. In: 2020 IEEE International Conference on Multimedia and Expo. IEEE, pp. 1\u20136 (2020)","DOI":"10.1109\/ICME46284.2020.9102926"},{"key":"2236_CR14","doi-asserted-by":"crossref","unstructured":"Yu, X., Fernando, B., Hartley, R., Porikli, F.: Super-resolving very low-resolution face images with supplementary attributes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 908\u2013917 (2018)","DOI":"10.1109\/CVPR.2018.00101"},{"key":"2236_CR15","doi-asserted-by":"crossref","unstructured":"Fritsche, M., Gu, S., Timofte, R.: Frequency separation for real-world super-resolution. In: 2019 IEEE\/CVF International Conference on Computer Vision Workshop. IEEE, pp. 3599\u20133608 (2019)","DOI":"10.1109\/ICCVW.2019.00445"},{"key":"2236_CR16","doi-asserted-by":"crossref","unstructured":"Zhou, Y., Deng, W., Tong, T., Gao, Q.: Guided frequency separation network for real-world super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 428\u2013429 (2020)","DOI":"10.1109\/CVPRW50498.2020.00222"},{"issue":"2","key":"2236_CR17","doi-asserted-by":"publisher","first-page":"994","DOI":"10.1109\/TIP.2018.2874285","volume":"28","author":"Y Wen","year":"2019","unstructured":"Wen, Y., Sheng, B., Li, P., Lin, W., Feng, D.D.: Deep color guided coarse-to-fine convolutional network cascade for depth image super-resolution. IEEE Trans. Image Process. 28(2), 994\u20131006 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"2236_CR18","doi-asserted-by":"crossref","unstructured":"Huang, Y., Shao, L., Frangi, A.\u00a0F.: Simultaneous super-resolution and cross-modality synthesis of 3d medical images using weakly-supervised joint convolutional sparse coding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6070\u20136079 (2017)","DOI":"10.1109\/CVPR.2017.613"},{"issue":"6","key":"2236_CR19","doi-asserted-by":"publisher","first-page":"1153","DOI":"10.1109\/TASSP.1981.1163711","volume":"29","author":"Robert Keys","year":"1981","unstructured":"Keys, Robert: Cubic convolution interpolation for digital image processing. IEEE Trans. Acoust. Speech Signal Process. 29(6), 1153\u20131160 (1981)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"2236_CR20","doi-asserted-by":"crossref","unstructured":"Fattal, R.: Image upsampling via imposed edge statistics. In: ACM SIGGRAPH 2007 papers, pp. 95-es. (2007)","DOI":"10.1145\/1275808.1276496"},{"issue":"2","key":"2236_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1944846.1944852","volume":"30","author":"Gilad Freedman","year":"2011","unstructured":"Freedman, Gilad, Fattal, R.: Image and video upscaling from local self-examples. ACM Trans. Graph. (TOG) 30(2), 1\u201311 (2011)","journal-title":"ACM Trans. Graph. (TOG)"},{"issue":"8","key":"2236_CR22","doi-asserted-by":"publisher","first-page":"2017","DOI":"10.1109\/TIP.2010.2045707","volume":"19","author":"Z Xiong","year":"2010","unstructured":"Xiong, Z., Sun, X., Feng, W.: Robust web image\/video super-resolution. IEEE Trans. Image Process. 19(8), 2017\u20132028 (2010)","journal-title":"IEEE Trans. Image Process."},{"key":"2236_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, H., Yang, J., Zhang, Y., Huang, T.\u00a0S.: Non-local kernel regression for image and video restoration. In: European Conference on Computer Vision. Springer, pp. 566\u2013579 (2010)","DOI":"10.1007\/978-3-642-15558-1_41"},{"issue":"2","key":"2236_CR24","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/38.988747","volume":"22","author":"William T Freeman","year":"2002","unstructured":"Freeman, William T., Jones, Thouis R., Pasztor, Egon C.: Example-based super-resolution. IEEE Comput. Graph. Appl. 22(2), 56\u201365 (2002)","journal-title":"IEEE Comput. Graph. Appl."},{"key":"2236_CR25","unstructured":"Chang, H., Yeung, D-Y., Xiong, Y.: Super-resolution through neighbor embedding. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. IEEE, vol.\u00a01, pp. I\u2013I (2004)"},{"key":"2236_CR26","doi-asserted-by":"crossref","unstructured":"Dong, C., Loy, C.\u00a0C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: European Conference on Computer Vision. Springer, pp. 184\u2013199 (2014)","DOI":"10.1007\/978-3-319-10593-2_13"},{"key":"2236_CR27","doi-asserted-by":"crossref","unstructured":"Sajjadi, M.S.M, Scholkopf, B., Hirsch, M.: Enhancenet: single image super-resolution through automated texture synthesis. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4491\u20134500 (2017)","DOI":"10.1109\/ICCV.2017.481"},{"key":"2236_CR28","doi-asserted-by":"crossref","unstructured":"Yuan, Y., Liu, S., Zhang, J., Zhang, Y., Dong, C., Lin, L.: Unsupervised image super-resolution using cycle-in-cycle generative adversarial networks, In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 701\u2013710 (2018)","DOI":"10.1109\/CVPRW.2018.00113"},{"key":"2236_CR29","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1109\/TIP.2019.2938347","volume":"29","author":"Y Zhang","year":"2019","unstructured":"Zhang, Y., Liu, S., Dong, C., Zhang, X., Yuan, Y.: Multiple cycle-in-cycle generative adversarial networks for unsupervised image super-resolution. IEEE Trans. Image Process. 29, 1101\u20131112 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"2236_CR30","doi-asserted-by":"crossref","unstructured":"Choudhury, A., Segall, A.: Channeling mr. potato head-face super-resolution using semantic components. In: Southwest Symposium on Image Analysis and Interpretation. IEEE 2014, 157\u2013160 (2014)","DOI":"10.1109\/SSIAI.2014.6806053"},{"key":"2236_CR31","doi-asserted-by":"crossref","unstructured":"Yu, X., Fernando, B., Ghanem, Bernard, P., Fatih, H., Richard: Face super-resolution guided by facial component heatmaps. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 217\u2013233 (2018)","DOI":"10.1007\/978-3-030-01240-3_14"},{"key":"2236_CR32","doi-asserted-by":"crossref","unstructured":"Bulat, A., Tzimiropoulos, G.: Super-fan: integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with gans. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 109\u2013117 (2018)","DOI":"10.1109\/CVPR.2018.00019"},{"key":"2236_CR33","first-page":"9054","volume":"33","author":"J Xin","year":"2019","unstructured":"Xin, J., Wang, N., Gao, X., Li, J.: Residual attribute attention network for face image super-resolution. Proc. AAAI Conf. Artif. Intell. 33, 9054\u20139061 (2019)","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"2236_CR34","doi-asserted-by":"crossref","unstructured":"Wang, C., Zhong, Z., Jiang, J., Zhai, D., Liu, X.: Parsing map guided multi-scale attention network for face hallucination. In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 2518\u20132522 (2020)","DOI":"10.1109\/ICASSP40776.2020.9053398"},{"key":"2236_CR35","doi-asserted-by":"crossref","unstructured":"Zhu, J.-Y., Park, T., Isola, P., Efros, A.\u00a0A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"},{"key":"2236_CR36","doi-asserted-by":"crossref","unstructured":"Yu, C., Wang, J., Peng, C., Gao, C., Yu, G., Sang, N.: Bisenet: bilateral segmentation network for real-time semantic segmentation. In: Proceedings of the European Conference on Computer Vision, pp. 325\u2013341 (2018)","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"2236_CR37","doi-asserted-by":"crossref","unstructured":"Shocher, A., Cohen, N., Irani, M.: Zero-shot\u201d super-resolution using deep internal learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3118\u20133126 (2018)","DOI":"10.1109\/CVPR.2018.00329"},{"issue":"10","key":"2236_CR38","doi-asserted-by":"publisher","first-page":"603","DOI":"10.1109\/LSP.2011.2164791","volume":"18","author":"Gang Cao","year":"2011","unstructured":"Cao, Gang, Zhao, Yao, Ni, Rongrong, Kot, Alex C.: Unsharp masking sharpening detection via overshoot artifacts analysis. IEEE Signal Process. Lett. 18(10), 603\u2013606 (2011)","journal-title":"IEEE Signal Process. Lett."},{"key":"2236_CR39","doi-asserted-by":"crossref","unstructured":"Peng, K.-S., Lin, F-C., Huang, Y-P., Shieh, H.-P.D.: Efficient super resolution using edge directed unsharp masking sharpening method. In: IEEE International Symposium on Multimedia. IEEE 2013, 508\u2013509 (2013)","DOI":"10.1109\/ISM.2013.100"},{"key":"2236_CR40","unstructured":"Karras, T., Aila, T., Laine, S., Lehtinen, J.: Progressive growing of gans for improved quality, stability, and variation. arXiv:1710.10196 (2017)"},{"key":"2236_CR41","unstructured":"Kingma, D.P., Ba, J.: Adam: a method for stochastic optimization. arXiv:1412.6980 (2014)"},{"key":"2236_CR42","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.\u00a0A: Image-to-image translation with conditional adversarial networks. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"2236_CR43","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.\u00a0A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3118\u20133126 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"2236_CR44","doi-asserted-by":"crossref","unstructured":"Bulat, A., Tzimiropoulos, G.: How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks). In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1021\u20131030 (2017)","DOI":"10.1109\/ICCV.2017.116"},{"key":"2236_CR45","unstructured":"Jain, V., Learned-Miller, E.: Fddb: a benchmark for face detection in unconstrained settings. Tech. Rep, UMass Amherst technical report (2010)"},{"key":"2236_CR46","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4401\u20134410 (2019)","DOI":"10.1109\/CVPR.2019.00453"},{"key":"2236_CR47","doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of stylegan. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8110\u20138119 (2020)","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"2236_CR48","doi-asserted-by":"crossref","unstructured":"Li, L., Tang, J., Shao, Z., Tan, X., Ma, L.: Sketch-to-photo face generation based on semantic consistency preserving and similar connected component refinement. Vis. Comput., pp. 1\u201318, (2021). https:\/\/doi.org\/10.1007\/s00371-021-02188-1","DOI":"10.1007\/s00371-021-02188-1"},{"key":"2236_CR49","doi-asserted-by":"crossref","unstructured":"Anokhin, I., Solovev, P., Korzhenkov, D., Kharlamov, A., Khakhulin, T., Silvestrov, A., Sergey, N., Victor, L., Gleb, S.: High-resolution daytime translation without domain labels. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7488\u20137497 (2020)","DOI":"10.1109\/CVPR42600.2020.00751"},{"key":"2236_CR50","doi-asserted-by":"crossref","unstructured":"Damer, N., Boutros, F., Saladie, A.\u00a0M., Kirchbuchner, F., Kuijper, A.: Realistic dreams: cascaded enhancement of gan-generated images with an example in face morphing attacks. In: 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS). IEEE, pp. 1\u201310 (2019)","DOI":"10.1109\/BTAS46853.2019.9185994"},{"issue":"12","key":"2236_CR51","doi-asserted-by":"publisher","first-page":"3037","DOI":"10.1109\/TPAMI.2013.68","volume":"35","author":"Soma Biswas","year":"2013","unstructured":"Biswas, Soma, Aggarwal, Gaurav, Flynn, Patrick J., Bowyer, Kevin W.: Pose-robust recognition of low-resolution face images. IEEE Trans. Pattern Anal. Mach. Intell. 35(12), 3037\u20133049 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2236_CR52","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/LSP.2020.2986942","volume":"27","author":"J Chen","year":"2020","unstructured":"Chen, J., Chen, J., Wang, Z., Liang, C., Lin, C.-W.: Identity-aware face super-resolution for low-resolution face recognition. IEEE Signal Process. Lett. 27, 645\u2013649 (2020)","journal-title":"IEEE Signal Process. Lett."},{"key":"2236_CR53","unstructured":"Hennings Y., Pablo\u00a0H,. Baker, S., Vijaya, K.: BVK: simultaneous super-resolution and feature extraction for recognition of low-resolution faces. In: 2008 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, pp. 1\u20138 (2008)"},{"key":"2236_CR54","unstructured":"Huang, G.B, Mattar, M., Berg, T., Learned-Miller, E.: Labeled faces in the wild: a database forstudying face recognition in unconstrained environments. In: Workshop on faces in\u2019Real-Life\u2019Images: detection, alignment, and recognition (2008)"},{"key":"2236_CR55","doi-asserted-by":"crossref","unstructured":"Liu, W., Wen, Y., Yu, Z., Li, Ming, R., Bhiksha, S., Le: Sphereface: deep hypersphere embedding for face recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 212\u2013220 (2017)","DOI":"10.1109\/CVPR.2017.713"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-021-02236-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-021-02236-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-021-02236-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T10:10:51Z","timestamp":1672913451000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-021-02236-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,23]]},"references-count":55,"journal-issue":{"issue":"9-11","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["2236"],"URL":"https:\/\/doi.org\/10.1007\/s00371-021-02236-w","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"type":"print","value":"0178-2789"},{"type":"electronic","value":"1432-2315"}],"subject":[],"published":{"date-parts":[[2021,7,23]]},"assertion":[{"value":"27 June 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}