{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T03:00:17Z","timestamp":1775098817085,"version":"3.50.1"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC3082100"],"award-info":[{"award-number":["2023YFC3082100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62171317"],"award-info":[{"award-number":["62171317"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019539","name":"Science Fund for Distinguished Young Scholars of Tianjin","doi-asserted-by":"crossref","award":["No. 22JCJQJC00040"],"award-info":[{"award-number":["No. 22JCJQJC00040"]}],"id":[{"id":"10.13039\/501100019539","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s00371-024-03752-1","type":"journal-article","created":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T14:02:47Z","timestamp":1734271367000},"page":"5781-5798","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PISE-V: person image and video synthesis with decoupled GAN"],"prefix":"10.1007","volume":"41","author":[{"given":"Jinsong","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Kun","family":"Lai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,15]]},"reference":[{"key":"3752_CR1","doi-asserted-by":"crossref","unstructured":"Zheng, R., Sheng, B., Ma, L.: Example-based image upscaling using parallel texture synthesis. In: 2012 International Conference on Audio, Language and Image Processing, pp. 710\u2013715 (2012). IEEE","DOI":"10.1109\/ICALIP.2012.6376707"},{"issue":"8","key":"3752_CR2","first-page":"3647","volume":"39","author":"S Huang","year":"2023","unstructured":"Huang, S., Liu, X., Tan, T., Hu, M., Wei, X., Chen, T., Sheng, B.: Transmrsr: transformer-based self-distilled generative prior for brain mri super-resolution. V. Comput. 39(8), 3647\u20133659 (2023)","journal-title":"V. Comput."},{"key":"3752_CR3","doi-asserted-by":"publisher","first-page":"8526","DOI":"10.1109\/TIP.2021.3117061","volume":"30","author":"H Li","year":"2021","unstructured":"Li, H., Sheng, B., Li, P., Ali, R., Chen, C.P.: Globally and locally semantic colorization via exemplar-based broad-gan. IEEE Trans. Image Process. 30, 8526\u20138539 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"3752_CR4","doi-asserted-by":"publisher","first-page":"2248","DOI":"10.1002\/cav.2248","volume":"35","author":"W Zhao","year":"2024","unstructured":"Zhao, W., Zhu, J., Huang, J., Li, P., Sheng, B.: Gan-based multi-decomposition photo cartoonization. Comput. Anim. Virtual Worlds 35(3), 2248 (2024)","journal-title":"Comput. Anim. Virtual Worlds"},{"issue":"9","key":"3752_CR5","first-page":"3341","volume":"38","author":"Q Liu","year":"2022","unstructured":"Liu, Q., Zhao, J., Cheng, C., Sheng, B., Ma, L.: Pointalcr: adversarial latent gan and contrastive regularization for point cloud completion. V. Comput. 38(9), 3341\u20133349 (2022)","journal-title":"V. Comput."},{"key":"3752_CR6","first-page":"2855","volume":"37","author":"L Li","year":"2021","unstructured":"Li, L., Tang, J., Ye, Z., Sheng, B., Mao, L., Ma, L.: Unsupervised face super-resolution via gradient enhancement and semantic guidance. V. Comput. 37, 2855\u20132867 (2021)","journal-title":"V. Comput."},{"issue":"11","key":"3752_CR7","doi-asserted-by":"publisher","first-page":"4161","DOI":"10.1109\/TPAMI.2020.2992105","volume":"43","author":"S Song","year":"2021","unstructured":"Song, S., Zhang, W., Liu, J., Guo, Z., Mei, T.: Unpaired person image generation with semantic parsing transformation. IEEE Trans. Pattern Anal. Mach. Intell. 43(11), 4161\u20134176 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3752_CR8","doi-asserted-by":"crossref","unstructured":"Zhang, J., Liu, X., Li, K.: Human pose transfer by adaptive hierarchical deformation. Comput. Graph. Forum 39(7), 325\u2013337 (2020). Wiley Online Library","DOI":"10.1111\/cgf.14148"},{"issue":"2","key":"3752_CR9","doi-asserted-by":"publisher","first-page":"1514","DOI":"10.1109\/TPAMI.2022.3161985","volume":"45","author":"G Pu","year":"2022","unstructured":"Pu, G., Men, Y., Mao, Y., Jiang, Y., Ma, W.-Y., Lian, Z.: Controllable image synthesis with attribute-decomposed gan. IEEE Trans. Pattern Anal. Mach. Intell. 45(2), 1514\u20131532 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3752_CR10","doi-asserted-by":"crossref","unstructured":"Ren, Y., Li, G., Liu, S., Li, T.H.: Deep spatial transformation for pose-guided person image generation and animation. IEEE Trans. Image Process. 29, 8622\u20138635 (2020)","DOI":"10.1109\/TIP.2020.3018224"},{"key":"3752_CR11","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 7291\u20137299 (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"3752_CR12","doi-asserted-by":"crossref","unstructured":"Fang, H.-S., Xie, S., Tai, Y.-W., Lu, C.: RMPE: Regional multi-person pose estimation. In: Proc. IEEE Int. Conf. Comput. Vis., pp. 2334\u20132343 (2017)","DOI":"10.1109\/ICCV.2017.256"},{"key":"3752_CR13","doi-asserted-by":"crossref","unstructured":"Liu, W., Piao, Z., Jie, M., Luo, W., Ma, L., Gao, S.: Liquid Warping GAN: A unified framework for human motion imitation, appearance transfer and novel view synthesis. In: Proc. IEEE Int. Conf. Comput. Vis., pp. 5904\u20135913 (2019)","DOI":"10.1109\/ICCV.2019.00600"},{"key":"3752_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, J., Li, K., Lai, Y.-K., Yang, J.: PISE: Person image synthesis and editing with decoupled GAN. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 7982\u20137990 (2021)","DOI":"10.1109\/CVPR46437.2021.00789"},{"key":"3752_CR15","unstructured":"Ma, L., Jia, X., Sun, Q., Schiele, B., Tuytelaars, T., Van\u00a0Gool, L.: Pose guided person image generation. Proc. Adv. Neural Inform. Process. Syst. 30 (2017)"},{"key":"3752_CR16","doi-asserted-by":"crossref","unstructured":"Zhu, Z., Huang, T., Shi, B., Yu, M., Wang, B., Bai, X.: Progressive pose attention transfer for person image generation. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 2347\u20132356 (2019)","DOI":"10.1109\/CVPR.2019.00245"},{"issue":"3","key":"3752_CR17","first-page":"644","volume":"131","author":"H Tang","year":"2023","unstructured":"Tang, H., Shao, L., Torr, P.H., Sebe, N.: Bipartite graph reasoning gans for person pose and facial image synthesis. Int. J. Comput. V. 131(3), 644\u2013658 (2023)","journal-title":"Int. J. Comput. V."},{"key":"3752_CR18","doi-asserted-by":"publisher","first-page":"9584","DOI":"10.1109\/TIP.2020.3029455","volume":"29","author":"K Li","year":"2020","unstructured":"Li, K., Zhang, J., Liu, Y., Lai, Y.-K., Dai, Q.: PoNA: Pose-guided non-local attention for human pose transfer. IEEE Trans. Image Process. 29, 9584\u20139599 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"3752_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2024.102786","volume":"84","author":"J Zhang","year":"2024","unstructured":"Zhang, J., Lai, Y.-K., Ma, J., Li, K.: Multi-scale information transport generative adversarial network for human pose transfer. Displays 84, 102786 (2024)","journal-title":"Displays"},{"key":"3752_CR20","doi-asserted-by":"publisher","first-page":"4243","DOI":"10.1109\/TCSVT.2023.3329972","volume":"34","author":"X Li","year":"2023","unstructured":"Li, X., Zhang, J., Lai, Y.-K., Yang, J., Li, K.: High-quality animatable dynamic garment reconstruction from monocular videos. IEEE Trans. Circuits Syst. V. Technol. 34, 4243\u20134256 (2023)","journal-title":"IEEE Trans. Circuits Syst. V. Technol."},{"key":"3752_CR21","doi-asserted-by":"crossref","unstructured":"Tang, H., Bai, S., Zhang, L., Torr, P.H., Sebe, N.: Xinggan for person image generation. In: Proc. Eur. Conf. Comput. Vis., pp. 717\u2013734 (2020). Springer","DOI":"10.1007\/978-3-030-58595-2_43"},{"key":"3752_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109315","volume":"137","author":"P Roy","year":"2023","unstructured":"Roy, P., Bhattacharya, S., Ghosh, S., Pal, U.: Multi-scale attention guided pose transfer. Pattern Recognit. 137, 109315 (2023)","journal-title":"Pattern Recognit."},{"issue":"4","key":"3752_CR23","doi-asserted-by":"publisher","first-page":"1156","DOI":"10.1109\/TPAMI.2019.2947427","volume":"43","author":"A Siarohin","year":"2019","unstructured":"Siarohin, A., Lathuili\u00e8re, S., Sangineto, E., Sebe, N.: Appearance and pose-conditioned human image generation using deformable GANs. IEEE Trans. Pattern Anal. Mach. Intell. 43(4), 1156\u20131171 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"3752_CR24","doi-asserted-by":"crossref","unstructured":"Li, Y., Huang, C., Loy, C.C.: Dense intrinsic appearance flow for human pose transfer. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 3693\u20133702 (2019)","DOI":"10.1109\/CVPR.2019.00381"},{"key":"3752_CR25","unstructured":"Dong, H., Liang, X., Gong, K., Lai, H., Zhu, J., Yin, J.: Soft-gated warping-gan for pose-guided person image synthesis. Proc. Adv. Neural Inform. Process. Syst. 31 (2018)"},{"key":"3752_CR26","unstructured":"Xintong, H., Huang, W., Hu, X., R, S.M.: ClothFlow: A flow-based model for clothed person generation. In: Proc. IEEE Int. Conf. Comput. Vis., pp. 10471\u201310480 (2019)"},{"key":"3752_CR27","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-assisted Intervention (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"3752_CR28","doi-asserted-by":"crossref","unstructured":"Lv, Z., Li, X., Li, X., Li, F., Lin, T., He, D., Zuo, W.: Learning semantic person image generation by region-adaptive normalization. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 10806\u201310815 (2021)","DOI":"10.1109\/CVPR46437.2021.01066"},{"key":"3752_CR29","doi-asserted-by":"crossref","unstructured":"Yang, C., Wang, Z., Zhu, X., Huang, C., Shi, J., Lin, D.: Pose guided human video generation. In: Proc. Eur. Conf. Comput. Vis., pp. 201\u2013216 (2018)","DOI":"10.1007\/978-3-030-01249-6_13"},{"key":"3752_CR30","doi-asserted-by":"crossref","unstructured":"Walker, J., Marino, K., Gupta, A., Hebert, M.: The pose knows: Video forecasting by generating pose futures. In: Proc. IEEE Int. Conf. Comput. Vis., pp. 3332\u20133341 (2017)","DOI":"10.1109\/ICCV.2017.361"},{"key":"3752_CR31","unstructured":"Wang, T.-C., Liu, M.-Y., Tao, A., Liu, G., Kautz, J., Catanzaro, B.: Few-shot video-to-video synthesis. In: Proc. Adv. Neural Inform. Process. Syst. (2019)"},{"key":"3752_CR32","unstructured":"Wang, T.-C., Liu, M.-Y., Zhu, J.-Y., Liu, G., Tao, A., Kautz, J., Catanzaro, B.: Video-to-video synthesis. In: Proc. Adv. Neural Inform. Process. Syst., pp. 1152\u20131164 (2018)"},{"key":"3752_CR33","doi-asserted-by":"crossref","unstructured":"Wang, R., Li, P., Sheng, B., Sun, H., Wu, E.: Real-time video stylization using spatial-temporal gabor filtering. In: Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry-Volume 1, pp. 299\u2013307 (2016)","DOI":"10.1145\/3013971.3013986"},{"key":"3752_CR34","doi-asserted-by":"crossref","unstructured":"Ionescu, C., Papava, D., Olaru, V., Sminchisescu, C.: Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments. IEEE Trans. Pattern Anal. Mach. Intell. 36(7), 1325\u20131339 (2013)","DOI":"10.1109\/TPAMI.2013.248"},{"key":"3752_CR35","doi-asserted-by":"crossref","unstructured":"Siarohin, A., Lathuili\u00e8re, S., Tulyakov, S., Ricci, E., Sebe, N.: Animating arbitrary objects via deep motion transfer. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 2377\u20132386 (2019)","DOI":"10.1109\/CVPR.2019.00248"},{"key":"3752_CR36","unstructured":"Siarohin, A., Lathuili\u00e8re, S., Tulyakov, S., Ricci, E., Sebe, N.: First order motion model for image animation. Proc. Adv. Neural Inform. Process. Syst. 32 (2019)"},{"key":"3752_CR37","unstructured":"Hu, L., Gao, X., Zhang, P., Sun, K., Zhang, B., Bo, L.: Animate anyone: Consistent and controllable image-to-video synthesis for character animation. arXiv preprint arXiv:2311.17117 (2023)"},{"key":"3752_CR38","unstructured":"Chang, D., Shi, Y., Gao, Q., Fu, J., Xu, H., Song, G., Yan, Q., Yang, X., Soleymani, M.: Magicdance: Realistic human dance video generation with motions & facial expressions transfer. arXiv preprint arXiv:2311.12052 (2023)"},{"key":"3752_CR39","doi-asserted-by":"crossref","unstructured":"Wang, T., Li, L., Lin, K., Zhai, Y., Lin, C.-C., Yang, Z., Zhang, H., Liu, Z., Wang, L.: Disco: Disentangled control for realistic human dance generation. arXiv preprint arXiv:2307.00040 (2023)","DOI":"10.1109\/CVPR52733.2024.00891"},{"key":"3752_CR40","first-page":"6840","volume":"33","author":"J Ho","year":"2020","unstructured":"Ho, J., Jain, A., Abbeel, P.: Denoising diffusion probabilistic models. Advan. Neural Inf. Process. Syst. 33, 6840\u20136851 (2020)","journal-title":"Advan. Neural Inf. Process. Syst."},{"key":"3752_CR41","unstructured":"Song, J., Meng, C., Ermon, S.: Denoising diffusion implicit models. arXiv preprint arXiv:2010.02502 (2020)"},{"key":"3752_CR42","doi-asserted-by":"crossref","unstructured":"Gong, K., Liang, X., Li, Y., Chen, Y., Yang, M., Lin, L.: Instance-level human parsing via part grouping network. In: Proc. Eur. Conf. Comput. Vis., pp. 770\u2013785 (2018)","DOI":"10.1007\/978-3-030-01225-0_47"},{"key":"3752_CR43","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"3752_CR44","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. arXiv preprint arXiv:1801.07892 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"key":"3752_CR45","doi-asserted-by":"crossref","unstructured":"Yu, Jiahui and Lin, Zhe and Yang, Jimei and Shen, Xiaohui and Lu, Xin and Huang, Thomas S: Free-form image inpainting with gated convolution. arXiv preprint arXiv:1806.03589 (2018)","DOI":"10.1109\/ICCV.2019.00457"},{"key":"3752_CR46","doi-asserted-by":"crossref","unstructured":"Zhu, P., Abdal, R., Qin, Y., Wonka, P.: SEAN: Image synthesis with semantic region-adaptive normalization. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 5104\u20135113 (2020)","DOI":"10.1109\/CVPR42600.2020.00515"},{"key":"3752_CR47","volume-title":"Very deep convolutional networks for large-scale image recognition","author":"K Simonyan","year":"2015","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. Proc. IEEE Int. Conf. Comput, Vis (2015)"},{"issue":"4","key":"3752_CR48","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1145\/3197517.3201365","volume":"37","author":"M He","year":"2018","unstructured":"He, M., Chen, D., Liao, J., Sander, P.V., Yuan, L.: Deep exemplar-based colorization. ACM Trans. Graph. 37(4), 47 (2018)","journal-title":"ACM Trans. Graph."},{"key":"3752_CR49","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: Proc. Eur. Conf. Comput. Vis., pp. 694\u2013711 (2016). Springer","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"3752_CR50","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: Proc. Int. Conf. Learn. Represent. (2015)"},{"key":"3752_CR51","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, C., Zhu, H., Mao, Y., Fang, H.-S., Lu, C.: Crowdpose: Efficient crowded scenes pose estimation and a new benchmark. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 10863\u201310872 (2019)","DOI":"10.1109\/CVPR.2019.01112"},{"key":"3752_CR52","doi-asserted-by":"crossref","unstructured":"Casiez, G., Roussel, N., Vogel, D.: 1 \u20ac filter: A simple speed-based low-pass filter for noisy input in interactive systems. In: the SIGCHI Conference on Human Factors in Computing Systems (2012)","DOI":"10.1145\/2207676.2208639"},{"key":"3752_CR53","doi-asserted-by":"crossref","unstructured":"Liu, Z., Luo, P., Qiu, S., Wang, X., Tang, X.: DeepFashion: Powering robust clothes recognition and retrieval with rich annotations. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 1096\u20131104 (2016)","DOI":"10.1109\/CVPR.2016.124"},{"key":"3752_CR54","unstructured":"Zablotskaia, P., Siarohin, A., Zhao, B., Sigal, L.: DwNet: Dense warp-based network for pose-guided human video generation. arXiv preprint arXiv:1910.09139 (2019)"},{"key":"3752_CR55","doi-asserted-by":"crossref","unstructured":"Zhang, R., Isola, P., Efros, A.A., Shechtman, E., Wang, O.: The unreasonable effectiveness of deep features as a perceptual metric. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 586\u2013595 (2018)","DOI":"10.1109\/CVPR.2018.00068"},{"key":"3752_CR56","unstructured":"Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., Hochreiter, S.: GANs trained by a two time-scale update rule converge to a local nash equilibrium. Proc. Adv. Neural Inform. Process. Syst. 30 (2017)"},{"key":"3752_CR57","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"3752_CR58","doi-asserted-by":"crossref","unstructured":"Bhunia, A.K., Khan, S., Cholakkal, H., Anwer, R.M., Laaksonen, J., Shah, M., Khan, F.S.: Person image synthesis via denoising diffusion model. In: Proc. IEEE Conf. Comput. Vis. Pattern Recog., pp. 5968\u20135976 (2023)","DOI":"10.1109\/CVPR52729.2023.00578"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03752-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-024-03752-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-024-03752-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T08:48:41Z","timestamp":1747385321000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-024-03752-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":58,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["3752"],"URL":"https:\/\/doi.org\/10.1007\/s00371-024-03752-1","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,15]]},"assertion":[{"value":"3 December 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}