{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T07:55:38Z","timestamp":1777103738407,"version":"3.51.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J. Comput. Sci. Technol."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1007\/s11390-026-6122-z","type":"journal-article","created":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T07:22:06Z","timestamp":1775805726000},"page":"415-427","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automatic Radar-Camera Calibration and Fusion for Traffic Perception"],"prefix":"10.1007","volume":"41","author":[{"given":"Pan","family":"Shi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yao","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao-Jie","family":"Ren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Kai","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan-Yong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,10]]},"reference":[{"issue":"3","key":"6122_CR1","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1109\/TITS.2020.2972974","volume":"22","author":"D Feng","year":"2021","unstructured":"Feng D, Haase-Sch\u00fctz C, Rosenbaum L, Hertlein H, Gl\u00e4ser C, Timm F, Wiesbeck W, Dietmayer K. Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges. IEEE Trans. Intelligent Transportation Systems, 2021, 22(3): 1341\u20131360. DOI: https:\/\/doi.org\/10.1109\/TITS.2020.2972974.","journal-title":"IEEE Trans. Intelligent Transportation Systems"},{"issue":"1","key":"6122_CR2","doi-asserted-by":"publisher","first-page":"0101","DOI":"10.52396\/JUSTC-2023-0006","volume":"54","author":"Y Zhao","year":"2024","unstructured":"Zhao Y, Zhang L, Deng J, Zhang Y. BEV-radar: Bidirectional radar-camera fusion for 3D object detection. JUSTC, 2024, 54(1): 0101. DOI: https:\/\/doi.org\/10.52396\/JUSTC-2023-0006.","journal-title":"JUSTC"},{"key":"6122_CR3","doi-asserted-by":"publisher","first-page":"17569","DOI":"10.1109\/ICCV51070.2023.01615","volume-title":"Proc. the 2023 IEEE\/CVF International Conference on Computer Vision","author":"Y Kim","year":"2023","unstructured":"Kim Y, Shin J, Kim S, Lee I J, Choi J W, Kum D. CRN: Camera radar net for accurate, robust, efficient 3D perception. In Proc. the 2023 IEEE\/CVF International Conference on Computer Vision, Oct. 2023, pp.17569\u201317580. DOI: https:\/\/doi.org\/10.1109\/ICCV51070.2023.01615."},{"key":"6122_CR4","doi-asserted-by":"publisher","first-page":"1526","DOI":"10.1109\/WACV48630.2021.00157","volume-title":"Proc. the 2021 IEEE Winter Conference on Applications of Computer Vision","author":"R Nabati","year":"2021","unstructured":"Nabati R, Qi H. CenterFusion: Center-based radar and camera fusion for 3D object detection. In Proc. the 2021 IEEE Winter Conference on Applications of Computer Vision, Jan. 2021, pp.1526\u20131535. DOI: https:\/\/doi.org\/10.1109\/WACV48630.2021.00157."},{"key":"6122_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/SDF.2019.8916629","volume-title":"Proc. the 2019 Sensor Data Fusion: Trends, Solutions, Applications","author":"F Nobis","year":"2019","unstructured":"Nobis F, Geisslinger M, Weber M, Betz J, Lienkamp M. A deep learning-based radar and camera sensor fusion architecture for object detection. In Proc. the 2019 Sensor Data Fusion: Trends, Solutions, Applications, Oct. 2019. DOI: https:\/\/doi.org\/10.1109\/SDF.2019.8916629."},{"key":"6122_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/ITSC.2019.8917504","volume-title":"Proc. the 2019 IEEE Intelligent Transportation Systems Conference","author":"Q Jiang","year":"2019","unstructured":"Jiang Q, Zhang L, Meng D. Target detection algorithm based on MMW radar and camera fusion. In Proc. the 2019 IEEE Intelligent Transportation Systems Conference, Oct. 2019, pp.1\u20136. DOI: https:\/\/doi.org\/10.1109\/ITSC.2019.8917504."},{"issue":"4","key":"6122_CR7","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.3390\/s21041116","volume":"21","author":"J Bai","year":"2021","unstructured":"Bai J, Li S, Zhang H, Huang L, Wang P. Robust target detection and tracking algorithm based on roadside radar and camera. Sensors (Basel), 2021, 21(4): 1116. DOI: https:\/\/doi.org\/10.3390\/s21041116.","journal-title":"Sensors (Basel)"},{"issue":"4","key":"6122_CR8","doi-asserted-by":"publisher","first-page":"11182","DOI":"10.1109\/LRA.2022.3193465","volume":"7","author":"Y Li","year":"2022","unstructured":"Li Y, Deng J, Zhang Y, Ji J, Li H, Zhang Y. EZFusion: A close look at the integration of LiDAR, millimeter-wave radar, and camera for accurate 3D object detection and tracking. IEEE Robotics and Automation Letters, 2022, 7(4): 11182\u201311189. DOI: https:\/\/doi.org\/10.1109\/LRA.2022.3193465.","journal-title":"IEEE Robotics and Automation Letters"},{"key":"6122_CR9","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1609\/aaai.v37i1.25198","volume-title":"Proc. the 37th AAAI Conference on Artificial Intelligence","author":"Y Kim","year":"2023","unstructured":"Kim Y, Kim S, Choi J W, Kum D. CRAFT: Camera-radar 3D object detection with spatio-contextual fusion transformer. In Proc. the 37th AAAI Conference on Artificial Intelligence, Feb. 2023, pp.1160\u20131168. DOI: https:\/\/doi.org\/10.1609\/aaai.v37i1.25198."},{"key":"6122_CR10","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1007\/978-3-030-58568-6_12","volume-title":"Lecture Notes in Computer Science 12359","author":"J Philion","year":"2020","unstructured":"Philion J, Fidler S. Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3D. In Lecture Notes in Computer Science 12359, Vedaldi A, Bischof H, Brox T, Frahm J M (eds.), Springer, 2020, pp.194\u2013210. DOI: https:\/\/doi.org\/10.1007\/978-3-030-58568-6_12."},{"key":"6122_CR11","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1109\/ICCVW.2017.53","volume-title":"Proc. the 2017 IEEE International Conference on Computer Vision Workshops","author":"Z Pusztai","year":"2017","unstructured":"Pusztai Z, Hajder L. Accurate calibration of LiDAR-camera systems using ordinary boxes. In Proc. the 2017 IEEE International Conference on Computer Vision Workshops, Oct. 2017, pp.394\u2013402. DOI: https:\/\/doi.org\/10.1109\/ICCVW.2017.53."},{"key":"6122_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/IST48021.2019.9010134","volume-title":"Proc. the 2019 IEEE International Conference on Imaging Systems and Techniques","author":"B Xue","year":"2019","unstructured":"Xue B, Jiao J, Zhu Y, Zhen L, Han D, Liu M, Fan R. Automatic calibration of dual-LiDARs using two poles stickered with retro-reflective tape. In Proc. the 2019 IEEE International Conference on Imaging Systems and Techniques, Dec. 2019. DOI: https:\/\/doi.org\/10.1109\/IST48021.2019.9010134."},{"key":"6122_CR13","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1109\/IVS.2018.8500646","volume-title":"Proc. the 2018 IEEE Intelligent Vehicles Symposium","author":"Y Xie","year":"2018","unstructured":"Xie Y, Shao R, Guli P, Li B, Wang L. Infrastructure based calibration of a multi-camera and multi-LiDAR system using Apriltags. In Proc. the 2018 IEEE Intelligent Vehicles Symposium, Jun. 2018, pp.605\u2013610. DOI: https:\/\/doi.org\/10.1109\/IVS.2018.8500646."},{"key":"6122_CR14","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/j.isprsjprs.2014.05.012","volume":"95","author":"B Yang","year":"2014","unstructured":"Yang B, Zang Y. Automated registration of dense terrestrial laser-scanning point clouds using curves. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 95:109\u2013121. DOI: https:\/\/doi.org\/10.1016\/j.isprsjprs.2014.05.012.","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"6122_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2003.1211516","volume-title":"Proc. the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition","author":"I Stamos","year":"2003","unstructured":"Stamos I, Leordeanu M. Automated feature-based range registration of urban scenes of large scale. In Proc. the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Jun. 2003. DOI: https:\/\/doi.org\/10.1109\/CVPR.2003.1211516."},{"key":"6122_CR16","doi-asserted-by":"publisher","DOI":"10.1109\/RadarConf2351548.2023.10149669","volume-title":"Proc. the 2023 IEEE Radar Conference","author":"L Cheng","year":"2023","unstructured":"Cheng L, Sengupta A, Cao S. 3D radar and camera co-calibration: A flexible and accurate method for target-based extrinsic calibration. In Proc. the 2023 IEEE Radar Conference, May 2023. DOI: https:\/\/doi.org\/10.1109\/RadarConf2351548.2023.10149669."},{"key":"6122_CR17","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1145\/3447993.3483276","volume-title":"Proc. the 27th Annual International Conference on Mobile Computing and Networking","author":"Y He","year":"2021","unstructured":"He Y, Ma L, Jiang Z, Tang Y, Xing G. VI-Eye: Semantic-based 3D point cloud registration for infrastructure-assisted autonomous driving. In Proc. the 27th Annual International Conference on Mobile Computing and Networking, Oct. 2021, pp.573\u2013586. DOI: https:\/\/doi.org\/10.1145\/3447993.3483276."},{"key":"6122_CR18","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1109\/NAECON58068.2023.10366051","volume-title":"Proc. the 2023 IEEE National Aerospace and Electronics Conference","author":"L Cheng","year":"2023","unstructured":"Cheng L, Cao S. Online targetless radar-camera extrinsic calibration based on the common features of radar and camera. In Proc. the 2023 IEEE National Aerospace and Electronics Conference, Aug. 2023, pp.294\u2013299. DOI: https:\/\/doi.org\/10.1109\/NAECON58068.2023.10366051."},{"issue":"1","key":"6122_CR19","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1109\/TITS.2025.3624716","volume":"27","author":"L Cheng","year":"2026","unstructured":"Cheng L, Cao S. Radar-camera fused multi-object tracking: Online calibration and common feature. IEEE Trans. Intelligent Transportation Systems, 2026, 27(1): 1295\u20131311. DOI: https:\/\/doi.org\/10.1109\/TITS.2025.3624716.","journal-title":"IEEE Trans. Intelligent Transportation Systems"},{"issue":"5","key":"6122_CR20","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1109\/TRO.2016.2596771","volume":"32","author":"Z Taylor","year":"2016","unstructured":"Taylor Z, Nieto J. Moiion-based calibration of multimodal sensor extrinsics and timing offset estimation. IEEE Trans. Robotics, 2016, 32(5): 1215\u20131229. DOI: https:\/\/doi.org\/10.1109\/TRO.2016.2596771.","journal-title":"IEEE Trans. Robotics"},{"issue":"7","key":"6122_CR21","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1177\/0278364913515286","volume":"33","author":"M Li","year":"2014","unstructured":"Li M, Mourikis A I. Online temporal calibration for camera-IMU systems: Theory and algorithms. The International Journal of Robotics Research, 2014, 33(7): 947\u2013964. DOI: https:\/\/doi.org\/10.1177\/0278364913515286.","journal-title":"The International Journal of Robotics Research"},{"key":"6122_CR22","doi-asserted-by":"publisher","first-page":"3662","DOI":"10.1109\/IROS.2018.8593603","volume-title":"Proc. the 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems","author":"T Qin","year":"2018","unstructured":"Qin T, Shen S. Online temporal calibration for monocular visual-inertial systems. In Proc. the 2018 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Oct. 2018, pp.3662\u20133669. DOI: https:\/\/doi.org\/10.1109\/IROS.2018.8593603."},{"issue":"5","key":"6122_CR23","doi-asserted-by":"publisher","first-page":"1401","DOI":"10.1109\/TRO.2021.3061364","volume":"37","author":"J Persic","year":"2021","unstructured":"Persic J, Petrovic L, Markovic I, Petrovic I. Spatiotemporal multisensor calibration via Gaussian processes moving target tracking. IEEE Trans. Robotics, 2021, 37(5): 1401\u20131415. DOI: https:\/\/doi.org\/10.1109\/TRO.2021.3061364.","journal-title":"IEEE Trans. Robotics"},{"key":"6122_CR24","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/3268866.3268868","volume-title":"Proc. the 2018 International Conference on Artificial Intelligence and Pattern Recognition","author":"X P Guo","year":"2018","unstructured":"Guo X P, Du J S, Gao J, Wang W. Pedestrian detection based on fusion of millimeter wave radar and vision. In Proc. the 2018 International Conference on Artificial Intelligence and Pattern Recognition, Aug. 2018, pp.38\u201342. DOI: https:\/\/doi.org\/10.1145\/3268866.3268868."},{"key":"6122_CR25","first-page":"133","volume-title":"Proc. the 16th European Radar Conference","author":"M Meyer","year":"2019","unstructured":"Meyer M, Kuschk G. Deep learning based 3D object detection for automotive radar and camera. In Proc. the 16th European Radar Conference, Oct. 2019, pp.133\u2013136."},{"key":"6122_CR26","doi-asserted-by":"publisher","first-page":"12502","DOI":"10.1109\/CVPR46437.2021.01232","volume-title":"Proc. the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition","author":"Y Long","year":"2021","unstructured":"Long Y, Morris D, Liu X, Castro M, Chakravarty P, Narayanan P. Radar-camera pixel depth association for depth completion. In Proc. the 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Jun. 2021, pp.12502\u201312511. DOI: https:\/\/doi.org\/10.1109\/CVPR46437.2021.01232."},{"key":"6122_CR27","doi-asserted-by":"publisher","first-page":"10857","DOI":"10.1109\/IROS45743.2020.9341177","volume-title":"Proc. the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems","author":"Y Kim","year":"2020","unstructured":"Kim Y, Choi J W, Kum D. GRIF Net: Gated region of interest fusion network for robust 3D object detection from radar point cloud and monocular image. In Proc. the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Oct. 24\u2013Jan. 24, 2020, pp.10857\u201310864. DOI: https:\/\/doi.org\/10.1109\/IROS45743.2020.9341177."},{"key":"6122_CR28","unstructured":"Decourt C, VanRullen R, Salle D, Oberlin T. Leveraging self-supervised instance contrastive learning for radar object detection. arXiv: 2402.08427, 2024. https:\/\/arxiv.org\/abs\/2402.08427, Feb. 2026."},{"key":"6122_CR29","doi-asserted-by":"publisher","unstructured":"Chen M, Liu Y, Zhang Z, Guo W. RCRFNet: Enhancing object detection with self-supervised radar-camera fusion and open-set recognition. Sensors, 2024, 24(15): Article No. 4803. DOI: https:\/\/doi.org\/10.3390\/s24154803.","DOI":"10.3390\/s24154803"},{"key":"6122_CR30","first-page":"1992","volume-title":"Proc. the 36th International Conference on Neural Information Processing Systems","author":"Z Yang","year":"2022","unstructured":"Yang Z, Chen J, Miao Z, Li W, Zhu X, Zhang L. DeepInteraction: 3D object detection via modality interaction. In Proc. the 36th International Conference on Neural Information Processing Systems, Nov. 28\u2013Dec. 9, 2022, pp.1992\u20132005."},{"issue":"11","key":"6122_CR31","doi-asserted-by":"publisher","first-page":"22278","DOI":"10.1109\/TITS.2021.3119079","volume":"23","author":"Y Du","year":"2022","unstructured":"Du Y, Qin B, Zhao C, Zhu Y, Cao J, Ji Y. A novel spatio-temporal synchronization method of roadside asynchronous MMW radar-camera for sensor fusion. IEEE Trans. Intelligent Transportation Systems, 2022, 23(11): 22278\u201322289. DOI: https:\/\/doi.org\/10.1109\/TITS.2021.3119079.","journal-title":"IEEE Trans. Intelligent Transportation Systems"},{"key":"6122_CR32","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1109\/EuRAD48048.2021.00079","volume-title":"Proc. the 13th European Radar Conference","author":"L Wang","year":"2021","unstructured":"Wang L, Zhang Z, Di X, Tian J. A roadside camera-radar sensing fusion system for intelligent transportation. In Proc. the 13th European Radar Conference, Jan. 2021, pp.282\u2013285. DOI: https:\/\/doi.org\/10.1109\/EuRAD48048.2021.00079."},{"issue":"11","key":"6122_CR33","doi-asserted-by":"publisher","first-page":"13218","DOI":"10.1109\/TITS.2024.3421339","volume":"25","author":"L Cheng","year":"2024","unstructured":"Cheng L, Sengupta A, Cao S. Deep learning-based robust multi-object tracking via fusion of mmWave radar and camera sensors. IEEE Trans. Intelligent Transportation Systems, 2024, 25(11): 13218\u201313233. DOI: https:\/\/doi.org\/10.1109\/TITS.2024.3421339.","journal-title":"IEEE Trans. Intelligent Transportation Systems"},{"issue":"6","key":"6122_CR34","doi-asserted-by":"publisher","first-page":"5433","DOI":"10.1109\/LRA.2024.3387700","volume":"9","author":"Y Li","year":"2024","unstructured":"Li Y, Wang Y, Meng C, Duan Y, Ji J, Zhang Y, Zhang Y. FARFusion: A practical roadside radar-camera fusion system for far-range perception. IEEE Robotics and Automation Letters, 2024, 9(6): 5433 5440. DOI: https:\/\/doi.org\/10.1109\/LRA.2024.3387700.","journal-title":"IEEE Robotics and Automation Letters"},{"key":"6122_CR35","doi-asserted-by":"publisher","first-page":"8421","DOI":"10.1145\/3664647.3681128","volume-title":"Proc. the 32nd ACM International Conference on Multimedia","author":"Y Li","year":"2024","unstructured":"Li Y, Deng J, Xiao Y, Wang Y, Chu X, Ji J, Zhang Y. FARFusion V2: A geometry-based radar-camera fusion method on the ground for roadside far-range 3D object detection. In Proc. the 32nd ACM International Conference on Multimedia, 2024, pp.8421\u20138430. DOI: https:\/\/doi.org\/10.1109\/LRA.2024.3387700."},{"issue":"11","key":"6122_CR36","doi-asserted-by":"publisher","first-page":"12549","DOI":"10.1109\/TITS.2023.3295757","volume":"24","author":"H Ren","year":"2023","unstructured":"Ren H, Zhang S, Li S, Li Y, Li X, Ji J, Zhang Y, Zhang Y. TrajMatch: Toward automatic spatio-temporal calibration for roadside LiDARs through trajectory matching. IEEE Trans. Intelligent Transportation Systems, 2023, 24(11): 12549\u201312559. DOI: https:\/\/doi.org\/10.1109\/TITS.2023.3295757.","journal-title":"IEEE Trans. Intelligent Transportation Systems"},{"issue":"1","key":"6122_CR37","doi-asserted-by":"publisher","first-page":"32 38","DOI":"10.1137\/0105003","volume":"5","author":"J Munkres","year":"1957","unstructured":"Munkres J. Algorithms for the assignment and transportation problems. Journal of the Society for Industrial and Applied Mathematics, 1957, 5(1): 32 38. DOI: https:\/\/doi.org\/10.1137\/0105003.","journal-title":"Journal of the Society for Industrial and Applied Mathematics"},{"key":"6122_CR38","doi-asserted-by":"publisher","first-page":"10359","DOI":"10.1109\/IROS45743.2020.9341164","volume-title":"Proc. the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems","author":"X Weng","year":"2020","unstructured":"Weng X, Wang J, Held D, Kitani K. 3D multi-object tracking: A baseline and new evaluation metrics. In Proc. the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Oct. 24\u2013Jan. 24, 2020, pp.10359\u201310366. DOI: https:\/\/doi.org\/10.1109\/IROS45743.2020.9341164."},{"key":"6122_CR39","volume-title":"Design and Analysis of Modern Tracking Systems","author":"S Blackman","year":"1999","unstructured":"Blackman S, Popoli R. Design and Analysis of Modern Tracking Systems. Artech House, 1999."}],"container-title":["Journal of Computer Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-026-6122-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11390-026-6122-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11390-026-6122-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T07:20:59Z","timestamp":1777101659000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11390-026-6122-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1]]}},"alternative-id":["6122"],"URL":"https:\/\/doi.org\/10.1007\/s11390-026-6122-z","relation":{},"ISSN":["1000-9000","1860-4749"],"issn-type":[{"value":"1000-9000","type":"print"},{"value":"1860-4749","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"12 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 April 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Conflict of Interest\n                      The authors declare that they have no conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics"}}]}}