{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,9]],"date-time":"2026-08-09T10:48:31Z","timestamp":1786272511618,"version":"3.56.0"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T00:00:00Z","timestamp":1735776000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T00:00:00Z","timestamp":1735776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s11760-024-03780-3","type":"journal-article","created":{"date-parts":[[2025,1,2]],"date-time":"2025-01-02T20:45:33Z","timestamp":1735850733000},"update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["GBM-QTMT: Gradient Boosting Machine-based fast QTMT partition decision for VVC inter-coding"],"prefix":"10.1007","volume":"19","author":[{"given":"Siham","family":"Bakkouri","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibtissam","family":"Bakkouri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abderrahmane","family":"Elyousfi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,1,2]]},"reference":[{"key":"3780_CR1","unstructured":"Versatile Video Coding, document ITU-T Rec. H.266 and ISO\/IEC 23090-3. ITU-T and ISO\/IEC (2020)"},{"issue":"10","key":"3780_CR2","doi-asserted-by":"publisher","first-page":"3736","DOI":"10.1109\/TCSVT.2021.3101953","volume":"31","author":"B Bross","year":"2021","unstructured":"Bross, B., Wang, Y.-K., Ye, Y., Liu, S., Chen, J., Sullivan, G.J., Ohm, J.-R.: Overview of the versatile video coding (VVC) standard and its applications. IEEE Trans. Circuits Syst. Video Technol. 31(10), 3736\u20133764 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3780_CR3","unstructured":"Advanced Video Coding for Generic Audiovisual Services, document ITU-T Rec. H.264 and ISO\/IEC 14496-10, Vers. 1. ITU-T and ISO\/IEC (2003)"},{"issue":"7","key":"3780_CR4","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1109\/TCSVT.2003.815165","volume":"13","author":"T Wiegand","year":"2003","unstructured":"Wiegand, T., Sullivan, G.J., Bjontegaard, G., Luthra, A.: Overview of the H.264\/AVC video coding standard. IEEE Trans. Circuits Syst. Video Technol. 13(7), 560\u2013576 (2003)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3780_CR5","unstructured":"High Efficiency Video Coding, document ITU-T Rec. H.265 and ISO\/IEC 23008-2, vers. 1. ITU-T and ISO\/IEC (2013)"},{"issue":"12","key":"3780_CR6","doi-asserted-by":"publisher","first-page":"1649","DOI":"10.1109\/TCSVT.2012.2221191","volume":"22","author":"GJ Sullivan","year":"2012","unstructured":"Sullivan, G.J., Ohm, J.-R., Han, W.-J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22(12), 1649\u20131668 (2012)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"3780_CR7","doi-asserted-by":"publisher","first-page":"1311","DOI":"10.1109\/TCSVT.2019.2945048","volume":"30","author":"Y-W Huang","year":"2020","unstructured":"Huang, Y.-W., Hsu, C.-W., Chen, C.-Y., Chuang, T.-D., Hsiang, S.-T., Chen, C.-C., Chiang, M.-S., Lai, C.-Y., Tsai, C.-M., Su, Y.-C., Lin, Z.-Y., Hsiao, Y.-L., Chubach, O., Lin, Y.-C., Lei, S.-M.: A VVC proposal with quaternary tree plus binary-ternary tree coding block structure and advanced coding techniques. IEEE Trans. Circuits Syst. Video Technol. 30(5), 1311\u20131325 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"5","key":"3780_CR8","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TCSVT.2019.2949619","volume":"30","author":"B Bross","year":"2020","unstructured":"Bross, B., Andersson, K., Blaser, M., Drugeon, V., Kim, S.-H., Lainema, J., Li, J., Liu, S., Ohm, J.-R., Sullivan, G.J., Yu, R.: General video coding technology in responses to the joint call for proposals on video compression with capability beyond HEVC. IEEE Trans. Circuits Syst. Video Technol. 30(5), 1226\u20131240 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3780_CR9","doi-asserted-by":"crossref","unstructured":"Wieckowski, A., Ma, J., Schwarz, H., Marpe, D., Wiegand, T.: Fast partitioning decision strategies for the upcoming versatile video coding (VVC) standard. In: Proc. IEEE Int. Conf. Image Process. (ICIP), Taipei, Taiwan, pp. 4130\u20134134 (2019)","DOI":"10.1109\/ICIP.2019.8803533"},{"issue":"8","key":"3780_CR10","first-page":"1581","volume":"17","author":"Q Li","year":"2022","unstructured":"Li, Q., Meng, H., Li, Y.: Texture-based fast QTMT partition algorithm in VVC intra coding. Signal Image Video Process. 17(8), 1581\u20131589 (2022)","journal-title":"Signal Image Video Process."},{"key":"3780_CR11","doi-asserted-by":"publisher","first-page":"56812","DOI":"10.1109\/ACCESS.2023.3277627","volume":"11","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Liu, Y., Zhao, J., Zhang, Q.: Fast CU partitioning algorithm for VVC based on multi-stage framework and binary subnets. IEEE Access. 11, 56812\u201356821 (2023)","journal-title":"IEEE Access."},{"issue":"18","key":"3780_CR12","doi-asserted-by":"publisher","first-page":"28301","DOI":"10.1007\/s11042-023-14691-9","volume":"82","author":"X Shang","year":"2023","unstructured":"Shang, X., Li, G., Zhao, X., Han, H., Zuo, Y.: Fast CU size decision algorithm for VVC intra coding. Multimed. Tools Appl. 82(18), 28301\u201328322 (2023)","journal-title":"Multimed. Tools Appl."},{"issue":"1","key":"3780_CR13","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s11760-022-02204-4","volume":"17","author":"M Amna","year":"2022","unstructured":"Amna, M., Imen, W., Ezahra, S.F.: Fast multi-type tree partitioning for versatile video coding using machine learning. Signal Image Video Process. 17(1), 67\u201374 (2022)","journal-title":"Signal Image Video Process."},{"issue":"29","key":"3780_CR14","doi-asserted-by":"publisher","first-page":"42731","DOI":"10.1007\/s11042-022-13479-7","volume":"81","author":"B Abdallah","year":"2022","unstructured":"Abdallah, B., Belghith, F., Ayed, M.A.B., Masmoudi, N.: Fast QTMT decision tree for Versatile Video Coding based on deep neural network. Multimed. Tools Appl. 81(29), 42731\u201342747 (2022)","journal-title":"Multimed. Tools Appl."},{"issue":"4","key":"3780_CR15","doi-asserted-by":"publisher","first-page":"3587","DOI":"10.1007\/s11760-024-03023-5","volume":"18","author":"F Belghith","year":"2024","unstructured":"Belghith, F., Abdallah, B., Jdidia, S.B., Ayed, M.A.B., Masmoudi, N.: CNN-based ternary tree partition approach for VVC intra-QTMT coding. Signal Image Video Process. 18(4), 3587\u20133594 (2024)","journal-title":"Signal Image Video Process."},{"key":"3780_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-17481-5","author":"R Jassem","year":"2023","unstructured":"Jassem, R., Damak, T., Ayed, M.A.B., Masmoudi, N.: Inter prediction multiple reference frames impact on H266-VVC encoder. Multimed. Tools Appl. (2023). https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/s11042-023-17481-5","journal-title":"Multimed. Tools Appl."},{"issue":"3","key":"3780_CR17","doi-asserted-by":"publisher","first-page":"3535","DOI":"10.1007\/s11042-022-13094-6","volume":"82","author":"P Goncalves","year":"2022","unstructured":"Goncalves, P., Correa, G., Agostini, L., Porto, M.: Learning-based bypass zone search algorithm for fast motion estimation. Multimed. Tools Appl. 82(3), 3535\u20133560 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"3780_CR18","doi-asserted-by":"crossref","unstructured":"Tang, N., Cao, J., Liang, F., Wang, J., Liu, H., Wang, X., Du, X.: Fast CTU partition decision algorithm for VVC intra and inter coding. In: Proceedings of the 2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Bangkok, Thailand, pp. 253\u2013256 (2019)","DOI":"10.1109\/APCCAS47518.2019.8953076"},{"key":"3780_CR19","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1109\/LSP.2021.3086692","volume":"28","author":"Z Pan","year":"2021","unstructured":"Pan, Z., Zhang, P., Peng, B., Ling, N., Lei, J.: A CNN-based fast inter coding method for VVC. IEEE Signal Process. Lett. 28, 1260\u20131264 (2021)","journal-title":"IEEE Signal Process. Lett."},{"key":"3780_CR20","doi-asserted-by":"crossref","unstructured":"Liu, Y., Abdoli, M., Guionnet, T., Guillemot, C., Roumy, A.: Light-weight CNN-Based VVC inter partitioning acceleration. In: Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Nafplio, Greece, pp. 1\u20135 (2022)","DOI":"10.1109\/IVMSP54334.2022.9816276"},{"key":"3780_CR21","doi-asserted-by":"crossref","unstructured":"Tissier, A., Hamidouche, W., Vanne, J., Menard, D.: Machine learning based efficient Qt-Mtt partitioning for VVC inter coding. In: Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP), pp. 1756\u20131760 (2022)","DOI":"10.1109\/ICIP46576.2022.9898052"},{"key":"3780_CR22","doi-asserted-by":"publisher","DOI":"10.1049\/ell2.12770","volume":"59","author":"Z Peng","year":"2023","unstructured":"Peng, Z., Shen, L.: A classification-prediction joint framework to accelerate QTMT-based CU partition of inter-mode VVC. Electron. Lett. 59, e12770 (2023)","journal-title":"Electron. Lett."},{"key":"3780_CR23","doi-asserted-by":"crossref","unstructured":"Abdallah, B., Belghith, F., Ayed, M.A.B., Masmoudi, N.: QTMT partitioning structure in VVC: overview and analysis. In: 2022 IEEE 21st International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), (2022)","DOI":"10.1109\/STA56120.2022.10018992"},{"key":"3780_CR24","unstructured":"jvet \/ VVCSoftware_VTM . GitLab. In: GitLab. Available at: https:\/\/2.zoppoz.workers.dev:443\/https\/vcgit.hhi.fraunhofer.de\/jvet\/VVCSoftware_VTM Accessed 22 April 2024"},{"key":"3780_CR25","unstructured":"Bossen, F., Boyce, J., Suehring, K., Li, X., Seregin, V.: VTM common test conditions and software reference configurations for SDR video, document JVET-T2010, Teleconference, October 2020"},{"issue":"10","key":"3780_CR26","doi-asserted-by":"publisher","first-page":"3891","DOI":"10.1109\/TCSVT.2021.3072202","volume":"31","author":"H Schwarz","year":"2021","unstructured":"Schwarz, H., Coban, M., Karczewicz, M., Chuang, T.D., Bossen, F., Alshin, A., Lainema, J., Helmrich, C.R., Wiegand, T.: Quantization and entropy coding in the versatile video coding (VVC) standard. IEEE Trans. Circuits Syst. Video Technol. 31(10), 3891\u20133906 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"3","key":"3780_CR27","doi-asserted-by":"publisher","first-page":"832","DOI":"10.1109\/TBC.2023.3262170","volume":"69","author":"M Xu","year":"2023","unstructured":"Xu, M., Jeon, B.: Complexity-efficient dependent quantization for versatile video coding. IEEE Trans. Broadcast. 69(3), 832\u2013839 (2023)","journal-title":"IEEE Trans. Broadcast."},{"issue":"4","key":"3780_CR28","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1007\/s11760-022-02325-w","volume":"17","author":"I Bakkouri","year":"2022","unstructured":"Bakkouri, I., Afdel, K.: MLCA2F: Multi-Level Context Attentional Feature Fusion for COVID-19 lesion segmentation from CT scans. Signal Image Video Process. 17(4), 1181\u20131188 (2022)","journal-title":"Signal Image Video Process."},{"key":"3780_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-024-03240-y","author":"I Bakkouri","year":"2024","unstructured":"Bakkouri, I., Bakkouri, S.: 2MGAS-Net: multi-level multi-scale gated attentional squeezed network for polyp segmentation. Signal Image Video Process. (2024). https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/s11760-024-03240-y","journal-title":"Signal Image Video Process."},{"issue":"2","key":"3780_CR30","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/BF00116037","volume":"5","author":"R Schapire","year":"1990","unstructured":"Schapire, R.: The strength of weak learnability. Mach. Learn. 5(2), 197\u2013227 (1990)","journal-title":"Mach. Learn."},{"issue":"5","key":"3780_CR31","doi-asserted-by":"publisher","first-page":"428","DOI":"10.3414\/ME13-01-0123","volume":"53","author":"H Binder","year":"2014","unstructured":"Binder, H., Gefeller, O., Schmid, M., Mayr, A.: Extending statistical boosting. Methods. Inf. Med. 53(5), 428\u2013435 (2014)","journal-title":"Methods. Inf. Med."},{"issue":"3","key":"3780_CR32","doi-asserted-by":"publisher","first-page":"983","DOI":"10.1007\/s11554-020-01059-7","volume":"18","author":"S Bakkouri","year":"2021","unstructured":"Bakkouri, S., Elyousfi, A.: Machine learning-based fast CU size decision algorithm for 3D-HEVC inter-coding. J. Real-Time Image Proc. 18(3), 983\u2013995 (2021)","journal-title":"J. Real-Time Image Proc."},{"issue":"5","key":"3780_CR33","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29(5), 1189\u20131232 (2001)","journal-title":"Ann. Stat."},{"key":"3780_CR34","doi-asserted-by":"crossref","unstructured":"Bahad, P., Saxena, P.: Study of AdaBoost and gradient boosting algorithms for predictive analytics. In: Algorithms for Intelligent Systems, pp. 235\u2013244 (2019)","DOI":"10.1007\/978-981-15-0633-8_22"},{"issue":"3","key":"3780_CR35","doi-asserted-by":"publisher","first-page":"3659","DOI":"10.1016\/j.eswa.2011.09.058","volume":"39","author":"L Guelman","year":"2012","unstructured":"Guelman, L.: Gradient boosting trees for auto insurance loss cost modeling and prediction. Expert Syst. Appl. 39(3), 3659\u20133667 (2012)","journal-title":"Expert Syst. Appl."},{"key":"3780_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2020.106254","volume":"182","author":"N Sapountzoglou","year":"2020","unstructured":"Sapountzoglou, N., Lago, J., Raison, B.: Fault diagnosis in low voltage smart distribution grids using gradient boosting trees. Electr. Power Syst. Res. 182, 106254 (2020)","journal-title":"Electr. Power Syst. Res."},{"key":"3780_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eti.2020.101028","volume":"20","author":"M Si","year":"2020","unstructured":"Si, M., Du, K.: Development of a predictive emissions model using a gradient boosting machine learning method. Environ. Technol. Innov. 20, 101028 (2020)","journal-title":"Environ. Technol. Innov."},{"issue":"3","key":"3780_CR38","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1109\/21.97458","volume":"21","author":"SR Safavian","year":"1991","unstructured":"Safavian, S.R., Landgrebe, D.: A survey of decision tree classifier methodology. IEEE Trans. Syst. Man Cybern. 21(3), 660\u2013674 (1991)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"3780_CR39","doi-asserted-by":"crossref","unstructured":"Zhang, X., Quadrianto, N., Kersting, K., Xu, Z., Engel, Y., Sammut, C., Reid, M., Liu, B., Webb, G., Sammut, C., Sipper, M., Saitta, L., Sebag, M., Aggarwal, C., G\u00e4rtner, T., Horv\u00e1th, T., Wrobel, S., Chakrabarti, D., McAuley, J., Caetano, T., Buntine, W., Jensen, T., Sammut, C., Holder, L., Sharara, H., Getoor, L.: Genetic and evolutionary algorithms. In: Encyclopedia of Machine Learning, pp. 456\u2013457 (2011)","DOI":"10.1007\/978-0-387-30164-8_334"},{"key":"3780_CR40","doi-asserted-by":"crossref","unstructured":"Bakkouri, S., Elyousfi, A.: Effective CU size decision algorithm based on depth map homogeneity for 3D-HEVC inter-coding. In: Proceedings of the 2020 IEEE International Conference on Intelligent Systems and Computing Vision (ISCV) (2020)","DOI":"10.1109\/ISCV49265.2020.9204037"},{"key":"3780_CR41","doi-asserted-by":"publisher","first-page":"850","DOI":"10.1109\/TCSVT.2019.2898122","volume":"30","author":"M Saldanha","year":"2020","unstructured":"Saldanha, M., Sanchez, G., Marcon, C., Agostini, L.: Fast 3D-HEVC depth map encoding using machine learning. IEEE Trans. Circuits Syst. Video Technol. 30, 850\u2013861 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"3780_CR42","doi-asserted-by":"crossref","unstructured":"Bakkouri, S., Elyousfi, A.: FCM-based fast texture CU size decision algorithm for 3D-HEVC inter-coding. In: Proceedings of the 2020 IEEE\/ACS 17th International Conference on Computer Systems and Applications (AICCSA)(2020)","DOI":"10.1109\/AICCSA50499.2020.9316455"},{"key":"3780_CR43","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/0034-4257(87)90015-0","volume":"21","author":"C Woodcock","year":"1987","unstructured":"Woodcock, C., Strahler, A.: The factor of scale in remote sensing. Remote Sens. Environ. 21, 311\u2013332 (1987)","journal-title":"Remote Sens. Environ."},{"key":"3780_CR44","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1109\/TIP.2005.860623","volume":"15","author":"P Bocher","year":"2006","unstructured":"Bocher, P., McCloy, K.: The fundamentals of average local variance\u2013part I: detecting regular patterns. IEEE Trans. Image Process. 15, 300\u2013310 (2006)","journal-title":"IEEE Trans. Image Process."},{"issue":"21","key":"3780_CR45","doi-asserted-by":"publisher","first-page":"32539","DOI":"10.1007\/s11042-023-14540-9","volume":"82","author":"S Bakkouri","year":"2023","unstructured":"Bakkouri, S., Elyousfi, A.: An adaptive CU size decision algorithm based on gradient boosting machines for 3D-HEVC inter-coding. Multimed. Tools Appl. 82(21), 32539\u201332557 (2023)","journal-title":"Multimed. Tools Appl."},{"key":"3780_CR46","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.image.2015.11.003","volume":"41","author":"N Islam","year":"2016","unstructured":"Islam, N., Shahid, Z., Puech, W.: Denoising and error correction in noisy AES-encrypted images using statistical measures. Signal Process. Image Commun. 41, 15\u201327 (2016)","journal-title":"Signal Process. Image Commun."},{"issue":"20","key":"3780_CR47","doi-asserted-by":"publisher","first-page":"7741","DOI":"10.3390\/s22207741","volume":"22","author":"Y Li","year":"2022","unstructured":"Li, Y., Luo, F., Zhu, Y.: Temporal prediction model-based fast inter CU partition for versatile video coding. Sensors 22(20), 7741 (2022)","journal-title":"Sensors"},{"key":"3780_CR48","unstructured":"Suehring, K., Li, X.: JVET common test conditions and software reference configurations, document JVET-B1010, Joint Video Exploration Team (JVET), (2016)"},{"key":"3780_CR49","unstructured":"Bj\u00f8ntegaard, G.: Calculation of average PSNR differences between RD curves. In: 13th VCEG Meeting, Document VCEGM33, Austin, (2001)"},{"key":"3780_CR50","unstructured":"Bj\u00f8ntegaard, G.: Improvements of the BD-PSNR model. In: 35th VCEG Meeting, Document VCEGAI11, Berlin, (2008)"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03780-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/article\/10.1007\/s11760-024-03780-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/content\/pdf\/10.1007\/s11760-024-03780-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T09:56:43Z","timestamp":1738317403000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/link.springer.com\/10.1007\/s11760-024-03780-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,2]]},"references-count":50,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["3780"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1007\/s11760-024-03780-3","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4752646\/v1","asserted-by":"object"}]},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,2]]},"assertion":[{"value":"17 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 December 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 January 2025","order":4,"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 no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"173"}}