{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T04:14:31Z","timestamp":1776226471844,"version":"3.50.1"},"reference-count":46,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202406060130"],"award-info":[{"award-number":["202406060130"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2025YFE0116000"],"award-info":[{"award-number":["2025YFE0116000"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["SQ2025YFE0101480"],"award-info":[{"award-number":["SQ2025YFE0101480"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["DUT24YG129"],"award-info":[{"award-number":["DUT24YG129"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972440"],"award-info":[{"award-number":["61972440"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372079"],"award-info":[{"award-number":["62372079"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61572101"],"award-info":[{"award-number":["61572101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.bspc.2026.110191","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T18:00:31Z","timestamp":1774980031000},"page":"110191","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PC","title":["S2M-Net: End-to-end Sparse Slice-to-Mesh reconstruction for fetal cardiac ultrasound anatomy"],"prefix":"10.1016","volume":"120","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2932-1209","authenticated-orcid":false,"given":"Qifeng","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongbo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Md. Kamrul","family":"Hasan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Tulzer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iris","family":"Scharnreitner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2918-3077","authenticated-orcid":false,"given":"Choon Hwai","family":"Yap","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1072-6601","authenticated-orcid":false,"given":"Bin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.bspc.2026.110191_b1","first-page":"347","article-title":"Prenatal detection of congenital heart disease\u2014results of a national screening programme","volume":"54","author":"Bakker","year":"2019","journal-title":"Ultrasound Obs. Gynecol."},{"key":"10.1016\/j.bspc.2026.110191_b2","first-page":"482","article-title":"Fetal echocardiography: Standard views and diagnostic tips","volume":"37","author":"Luewan","year":"2011","journal-title":"Ultrasound Obs. Gynecol."},{"issue":"3","key":"10.1016\/j.bspc.2026.110191_b3","first-page":"476","article-title":"Fetal echocardiography: A review of diagnostic accuracy and clinical utility","volume":"56","author":"van Nisselrooij","year":"2020","journal-title":"Ultrasound Obs. Gynecol."},{"issue":"23","key":"10.1016\/j.bspc.2026.110191_b4","doi-asserted-by":"crossref","first-page":"8007","DOI":"10.3390\/s21238007","article-title":"A deep learning-based computer-aided fetal heart echocardiography for congenital heart defect detection","volume":"21","author":"Nurmaini","year":"2021","journal-title":"Sensors"},{"issue":"24","key":"10.1016\/j.bspc.2026.110191_b5","doi-asserted-by":"crossref","first-page":"7605","DOI":"10.3390\/jcm13247605","article-title":"Three-dimensional ultrasound for physical and virtual evaluation of fetal heart morphology","volume":"13","author":"Bravo-Valenzuela","year":"2024","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.bspc.2026.110191_b6","series-title":"A deep-learning approach for direct whole-heart mesh reconstruction","author":"Kong","year":"2021"},{"key":"10.1016\/j.bspc.2026.110191_b7","unstructured":"M. Beetz, A. Banerjee, V. Grau, Reconstructing 3D cardiac anatomies from misaligned multi-view MR images with mesh deformation U-Nets, in: Geometric Deep Learning in Medical Image Analysis, 2022, pp. 97\u2013106, Proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis, PMLR."},{"issue":"17","key":"10.1016\/j.bspc.2026.110191_b8","doi-asserted-by":"crossref","first-page":"7430","DOI":"10.3390\/s23177430","article-title":"Iterated residual graph convolutional neural network for personalized three-dimensional reconstruction of left myocardium from cardiac MR images","volume":"23","author":"Wang","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.bspc.2026.110191_b9","series-title":"Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI","author":"Gaggion","year":"2023"},{"key":"10.1016\/j.bspc.2026.110191_b10","series-title":"Explicit differentiable slicing and global deformation for cardiac mesh reconstruction","author":"Luo","year":"2024"},{"key":"10.1016\/j.bspc.2026.110191_b11","article-title":"A flexible 2.5D medical image segmentation approach with in-slice and cross-slice attention","volume":"182","author":"Kumar","year":"2024","journal-title":"Comput. Methods Programs Biomed."},{"key":"10.1016\/j.bspc.2026.110191_b12","first-page":"1","article-title":"Deep learning techniques for automatic MRI cardiac segmentation: The ACDC challenge","volume":"43","author":"Bernard","year":"2018","journal-title":"Med. Image Anal."},{"issue":"7971","key":"10.1016\/j.bspc.2026.110191_b13","first-page":"111","article-title":"Video-based deep learning for pediatric echocardiogram analysis (EchoNet-Peds)","volume":"620","author":"Reddy","year":"2023","journal-title":"Nature"},{"key":"10.1016\/j.bspc.2026.110191_b14","article-title":"MITEA: A multimodal echocardiography dataset for 3D LV segmentation and function analysis","volume":"87","author":"Zhao","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110191_b15","article-title":"Semantic segmentation of fetal echocardiography video frames","volume":"146","author":"Stoean","year":"2022","journal-title":"Comput. Biol. Med."},{"issue":"2","key":"10.1016\/j.bspc.2026.110191_b16","first-page":"211","article-title":"Automatic fetal heart structure segmentation using deep attention networks","volume":"50","author":"Liang","year":"2024","journal-title":"Ultrasound Med. Biol."},{"issue":"3","key":"10.1016\/j.bspc.2026.110191_b17","first-page":"337","article-title":"Impact of apical foreshortening on deformation measurements: A report from the EACVI\u2013ASE strain standardization task force","volume":"21","author":"\u00dcnl\u00fc","year":"2020","journal-title":"Eur. Hear. Journal\u2013Cardiovascular Imaging"},{"issue":"5","key":"10.1016\/j.bspc.2026.110191_b18","first-page":"2147","article-title":"Fetal 3D cardiovascular cine image acquisition using radial sampling and compressed sensing","volume":"88","author":"Piek","year":"2022","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.bspc.2026.110191_b19","doi-asserted-by":"crossref","unstructured":"O. Ronneberger, P. Fischer, T. Brox, U-Net: Convolutional networks for biomedical image segmentation, in: Proc. MICCAI, 2015, pp. 234\u2013241.","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"10.1016\/j.bspc.2026.110191_b20","series-title":"TransUNet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021"},{"issue":"2","key":"10.1016\/j.bspc.2026.110191_b21","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1038\/s41592-020-01008-z","article-title":"nnU-Net: A self-configuring method for deep learning-based biomedical image segmentation","volume":"18","author":"Isensee","year":"2021","journal-title":"Nature Methods"},{"key":"10.1016\/j.bspc.2026.110191_b22","doi-asserted-by":"crossref","unstructured":"L.C. Chen, Y. Zhu, G. Papandreou, F. Schroff, H. Adam, Encoder\u2013decoder with atrous separable convolution for semantic image segmentation, in: Proc. ECCV, 2018, pp. 833\u2013851.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"10.1016\/j.bspc.2026.110191_b23","first-page":"17820","article-title":"DR-net: Dilated residual network for medical segmentation","volume":"9","author":"Hasan","year":"2021","journal-title":"IEEE Access"},{"key":"10.1016\/j.bspc.2026.110191_b24","article-title":"UNETR\uff0b\uff0b: A 3D transformer with paired attention for medical image segmentation","volume":"92","author":"Shaker","year":"2024","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110191_b25","article-title":"BATNet: Boundary-aware transformer network for fetal heart segmentation","volume":"89","author":"Zhao","year":"2024","journal-title":"Med. Image Anal."},{"issue":"4","key":"10.1016\/j.bspc.2026.110191_b26","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1145\/37402.37422","article-title":"Marching cubes: A high resolution 3D surface construction algorithm","volume":"21","author":"Lorensen","year":"1998","journal-title":"ACM SIGGRAPH"},{"key":"10.1016\/j.bspc.2026.110191_b27","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"1","article-title":"Optimal step nonrigid ICP algorithms for surface registration","author":"Amberg","year":"2007"},{"issue":"12","key":"10.1016\/j.bspc.2026.110191_b28","doi-asserted-by":"crossref","first-page":"2262","DOI":"10.1109\/TPAMI.2010.46","article-title":"Point set registration: Coherent point drift","volume":"32","author":"Myronenko","year":"2010","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.bspc.2026.110191_b29","series-title":"Differentiable voxel slicing for ultrasound mesh reconstruction","author":"Luo","year":"2024"},{"key":"10.1016\/j.bspc.2026.110191_b30","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"586","article-title":"3D cardiac shape prediction with deep neural networks: Simultaneous use of images and patient metadata","author":"Attar","year":"2019"},{"key":"10.1016\/j.bspc.2026.110191_b31","series-title":"European Conference on Computer Vision","first-page":"52","article-title":"Pixel2Mesh: Generating 3D mesh models from single RGB images","author":"Wang","year":"2018"},{"key":"10.1016\/j.bspc.2026.110191_b32","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"299","article-title":"Voxel2Mesh: 3D mesh model generation from volumetric data","author":"Wickramasinghe","year":"2020"},{"issue":"5","key":"10.1016\/j.bspc.2026.110191_b33","first-page":"1412","article-title":"Slice2Mesh: 3D surface reconstruction from sparse slices for the left ventricle","volume":"43","author":"Xia","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.bspc.2026.110191_b34","doi-asserted-by":"crossref","unstructured":"Y. Zhou, F. De la Torre, Continuity-aware rotation representation via quaternions and exponential map, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2019, pp. 5738\u20135746.","DOI":"10.1109\/CVPR.2019.00589"},{"key":"10.1016\/j.bspc.2026.110191_b35","doi-asserted-by":"crossref","unstructured":"H. Fan, H. Su, L.J. Guibas, A point set generation network for 3D object reconstruction from a single image, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2017, pp. 605\u2013613.","DOI":"10.1109\/CVPR.2017.264"},{"key":"10.1016\/j.bspc.2026.110191_b36","first-page":"150","article-title":"Medial mesh generation for anatomic structures via 3D shape representation learning","volume":"56","author":"Zhang","year":"2019","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.bspc.2026.110191_b37","doi-asserted-by":"crossref","unstructured":"Y. Shi, R. Lai, J. H. Morra, I. Dinov, P. M. Thompson, A. W. Toga, Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation, in: IEEE Transactions on Medical Imaging, 29, (12) 2010, pp. 2009\u20132022.","DOI":"10.1109\/TMI.2010.2057441"},{"key":"10.1016\/j.bspc.2026.110191_b38","doi-asserted-by":"crossref","unstructured":"F. Milletari, N. Navab, S.-A. Ahmadi, V-Net: Fully convolutional neural networks for volumetric medical image segmentation, in: Proceedings of the Fourth International Conference on 3D Vision, 3DV, 2016, pp. 565\u2013571.","DOI":"10.1109\/3DV.2016.79"},{"key":"10.1016\/j.bspc.2026.110191_b39","doi-asserted-by":"crossref","unstructured":"Z. Zhou, M.M.R. Siddiquee, N. Tajbakhsh, J. Liang, UNet\uff0b\uff0b: A nested U-Net architecture for medical image segmentation, in: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2019, pp. 3\u201311.","DOI":"10.1007\/978-3-030-00889-5_1"},{"issue":"1","key":"10.1016\/j.bspc.2026.110191_b40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.echo.2014.10.003","article-title":"Recommendations for cardiac chamber quantification by echocardiography in adults: An update from the American society of echocardiography and the European association of cardiovascular imaging","volume":"28","author":"Lang","year":"2015","journal-title":"J. Am. Soc. Echocardiogr."},{"issue":"5","key":"10.1016\/j.bspc.2026.110191_b41","first-page":"1","article-title":"Strain imaging: Methods, applications, and clinical implications","volume":"22","author":"Marek","year":"2020","journal-title":"Curr. Cardiol. Rep."},{"key":"10.1016\/j.bspc.2026.110191_b42","series-title":"International Conference on Functional Imaging and Modeling of the Heart","first-page":"433","article-title":"Large scale left ventricular shape atlas using automated model fitting to contours","author":"Medrano-Gracia","year":"2013"},{"issue":"11","key":"10.1016\/j.bspc.2026.110191_b43","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1109\/5.726791","article-title":"Gradient-based learning applied to document recognition","volume":"86","author":"LeCun","year":"1998","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.bspc.2026.110191_b44","doi-asserted-by":"crossref","unstructured":"K. He, X. Zhang, S. Ren, J. Sun, Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2016, pp. 770\u2013778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"10.1016\/j.bspc.2026.110191_b45","doi-asserted-by":"crossref","unstructured":"A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A.C. Berg, W.Y. Lo, P. Doll\u00e1r, R. Girshick, Segment Anything, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, ICCV, 2023, pp. 4015\u20134026.","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"10.1016\/j.bspc.2026.110191_b46","series-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention","first-page":"424","article-title":"3D U-net: Learning dense volumetric segmentation from sparse annotation","author":"\u00c7i\u00e7ek","year":"2016"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426007457?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809426007457?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T03:32:50Z","timestamp":1776223970000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809426007457"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":46,"alternative-id":["S1746809426007457"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110191","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"S2M-Net: End-to-end Sparse Slice-to-Mesh reconstruction for fetal cardiac ultrasound anatomy","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2026.110191","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110191"}}