{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T00:55:04Z","timestamp":1790297704737,"version":"4.1.0"},"reference-count":29,"publisher":"Tsinghua University Press","issue":"1","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Visual. Med."],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s41095-022-0270-z","type":"journal-article","created":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T03:02:42Z","timestamp":1666062162000},"page":"57-69","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["A two-step surface-based 3D deep learning pipeline for segmentation of intracranial aneurysms"],"prefix":"10.26599","volume":"9","author":[{"given":"Xi","family":"Yang","sequence":"first","affiliation":[{"name":"The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan; Jilin University, No. 2699, Qianjin Road, Changchun, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ding","family":"Xia","sequence":"additional","affiliation":[{"name":"The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taichi","family":"Kin","sequence":"additional","affiliation":[{"name":"The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takeo","family":"Igarashi","sequence":"additional","affiliation":[{"name":"The University of Tokyo, 7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"11138","reference":[{"issue":"26","key":"270_CR1","doi-asserted-by":"publisher","first-page":"2474","DOI":"10.1056\/NEJMoa1113260","volume":"366","author":"The UCAS Japan Investigators","year":"2012","unstructured":"The UCAS Japan Investigators. The natural course of unruptured cerebral aneurysms in a Japanese cohort. New England Journal of Medicine Vol. 366, No. 26, 2474\u20132482, 2012.","journal-title":"New England Journal of Medicine"},{"issue":"1","key":"270_CR2","first-page":"52","volume":"11","author":"A Alaraj","year":"2015","unstructured":"Alaraj, A.; Luciano, C. J.; Bailey, D. P.; Elsenousi, A.; Roitberg, B. Z.; Bernardo, A.; Banerjee, P. P.; Charbel, F. T. Virtual reality cerebral aneurysm clipping simulation with real-time haptic feedback. Neurosurgery Vol. 11, No. 1, 52\u201358, 2015.","journal-title":"Neurosurgery"},{"key":"270_CR3","doi-asserted-by":"crossref","unstructured":"Nikravanshalmani, A.; Qanadli, S. D.; Ellis, T. J.; Crocker, M.; Ebrahimdoost, Y.; Karamimohammadi, M.; Dehmeshki, J. Three-dimensional semi-automatic segmentation of intracranial aneurysms in CTA. In: Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 1\u20134, 2010.","DOI":"10.1109\/ITAB.2010.5687759"},{"issue":"3","key":"270_CR4","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1109\/TIP.2012.2216274","volume":"22","author":"M W K Law","year":"2013","unstructured":"Law, M. W. K.; Chung, A. C. S. Segmentation of intracranial vessels and aneurysms in phase contrast magnetic resonance angiography using multirange filters and local variances. IEEE Transactions on Image Processing Vol. 22, No. 3, 845\u2013859, 2013.","journal-title":"IEEE Transactions on Image Processing"},{"issue":"6","key":"270_CR5","doi-asserted-by":"publisher","first-page":"e195600","DOI":"10.1001\/jamanetworkopen.2019.5600","volume":"2","author":"A Park","year":"2019","unstructured":"Park, A.; Chute, C.; Rajpurkar, P.; Lou, J.; Ball, R. L.; Shpanskaya, K.; Jabarkheel, R.; Kim, L. H.; McKenna, E.; Tseng, J.; et al. Deep learning-assisted diagnosis of cerebral aneurysms using the HeadXNet model. JAMA Network Open Vol. 2, No. 6, e195600, 2019.","journal-title":"JAMA Network Open"},{"issue":"1","key":"270_CR6","doi-asserted-by":"publisher","first-page":"25","DOI":"10.3174\/ajnr.A5911","volume":"40","author":"T Sichtermann","year":"2019","unstructured":"Sichtermann, T.; Faron, A.; Sijben, R.; Teichert, N.; Freiherr, J.; Wiesmann, M. Deep learning-based detection of intracranial aneurysms in 3D TOF-MRA. American Journal of Neuroradiology Vol. 40, No. 1, 25\u201332, 2019.","journal-title":"American Journal of Neuroradiology"},{"key":"270_CR7","doi-asserted-by":"crossref","unstructured":"Yang, X.; Xia, D.; Kin, T.; Igarashi, T. IntrA: 3D intracranial aneurysm dataset for deep learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2653\u20132663, 2020.","DOI":"10.1109\/CVPR42600.2020.00273"},{"key":"270_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/978-3-030-59725-2_13","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2014 MICCAI 2020","author":"\u017d Bizjak","year":"2020","unstructured":"Bizjak, \u017d.; Likar, B.; Pernu\u0161, F.; \u0160piclin, \u017d. Vascular surface segmentation for intracranial aneurysm isolation and quantification. In: Medical Image Computing and Computer Assisted Intervention \u2014 MICCAI 2020. Lecture Notes in Computer Science, Vol. 12266. Springer Cham, 128\u2013137, 2020."},{"issue":"4","key":"270_CR9","doi-asserted-by":"publisher","first-page":"948","DOI":"10.1002\/jmri.25842","volume":"47","author":"T Nakao","year":"2018","unstructured":"Nakao, T.; Hanaoka, S.; Nomura, Y.; Sato, I.; Nemoto, M.; Miki, S.; Maeda, E.; Yoshikawa, T.; Hayashi, N.; Abe, O. Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography. Journal of Magnetic Resonance Imaging Vol. 47, No. 4, 948\u2013953, 2018.","journal-title":"Journal of Magnetic Resonance Imaging"},{"issue":"1","key":"270_CR10","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1148\/radiol.2018180901","volume":"290","author":"D Ueda","year":"2019","unstructured":"Ueda, D.; Yamamoto, A.; Nishimori, M.; Shimono, T.; Doishita, S.; Shimazaki, A.; Katayama, Y.; Fukumoto, S.; Choppin, A.; Shimahara, Y.; et al. Deep learning for MR angiography: Automated detection of cerebral aneurysms. Radiology Vol. 290, No. 1, 187\u2013194, 2019.","journal-title":"Radiology"},{"key":"270_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/978-3-030-32251-9_27","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2014 MICCAI 2019","author":"M Zhou","year":"2019","unstructured":"Zhou, M.; Wang, X.; Wu, Z.; Pozo, J. M.; Frangi, A. F. Intracranial aneurysm detection from 3D vascular mesh models with ensemble deep learning. In: Medical Image Computing and Computer Assisted Intervention \u2014 MICCAI 2019. Lecture Notes in Computer Science, Vol. 11767. Springer Cham, 243\u2013252, 2019."},{"key":"270_CR12","doi-asserted-by":"crossref","unstructured":"Nikravanshalmani, A.; Karamimohammdi, M.; Dehmeshki, J. Segmentation and separation of cerebral aneurysms: A multi-phase approach. In: Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, 505\u2013510, 2013.","DOI":"10.1109\/ISPA.2013.6703793"},{"key":"270_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"866","DOI":"10.1007\/978-3-540-75757-3_105","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2007","author":"M W K Law","year":"2007","unstructured":"Law, M. W. K.; Chung, A. C. S. Vessel and intracranial aneurysm segmentation using multi-range filters and local variances. In: Medical Image Computing and Computer-Assisted Intervention \u2014 MICCAI 2007. Lecture Notes in Computer Science, Vol. 4791. Ayache, N.; Ourselin, S.; Maeder, A. Eds. Springer Berlin Heidelberg, 866\u2013874, 2007."},{"issue":"4","key":"270_CR14","doi-asserted-by":"publisher","first-page":"1777","DOI":"10.1118\/1.4943375","volume":"43","author":"Y Wang","year":"2016","unstructured":"Wang, Y.; Zhang, Y.; Navarro, L.; Eker, O. F.; Corredor Jerez, R. A.; Chen, Y.; Zhu, Y.; Courbebaisse, G. Multilevel segmentation of intracranial aneurysms in CT angiography images. Medical Physics Vol. 43, No. 4, 1777\u20131786, 2016.","journal-title":"Medical Physics"},{"issue":"3","key":"270_CR15","doi-asserted-by":"publisher","first-page":"859","DOI":"10.1016\/j.ejrnm.2016.03.016","volume":"47","author":"N Sulayman","year":"2016","unstructured":"Sulayman, N.; Al-Mawaldi, M.; Kanafani, Q. Semiautomatic detection and segmentation algorithm of saccular aneurysms in 2D cerebral DSA images. The Egyptian Journal of Radiology and Nuclear Medicine Vol. 47, No. 3, 859\u2013865, 2016.","journal-title":"The Egyptian Journal of Radiology and Nuclear Medicine"},{"issue":"1","key":"270_CR16","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1007\/s11045-016-0464-6","volume":"29","author":"S P Dakua","year":"2018","unstructured":"Dakua, S. P.; Abinahed, J.; Al-Ansari, A. A PCA-based approach for brain aneurysm segmentation. Multidimensional Systems and Signal Processing Vol. 29, No. 1, 257\u2013277, 2018.","journal-title":"Multidimensional Systems and Signal Processing"},{"issue":"2","key":"270_CR17","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1109\/TBME.2019.2918921","volume":"67","author":"T Jerman","year":"2020","unstructured":"Jerman, T.; Chien, A.; Pernus, F.; Likar, B.; Spiclin, Z. Automated cutting plane positioning for intracranial aneurysm quantification. IEEE Transactions on Biomedical Engineering Vol. 67, No. 2, 577\u2013587, 2020.","journal-title":"IEEE Transactions on Biomedical Engineering"},{"issue":"4","key":"270_CR18","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1136\/neurintsurg-2019-015214","volume":"12","author":"A R Podgorsak","year":"2020","unstructured":"Podgorsak, A. R.; Rava, R. A.; Shiraz Bhurwani, M. M.; Chandra, A. R.; Davies, J. M.; Siddiqui, A. H.; Ionita, C. N. Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms. Journal of Neurointerventional Surgery Vol. 12, No. 4, 417\u2013421, 2020.","journal-title":"Journal of Neurointerventional Surgery"},{"key":"270_CR19","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.media.2016.10.004","volume":"36","author":"K Kamnitsas","year":"2017","unstructured":"Kamnitsas, K.; Ledig, C.; Newcombe, V. F. J.; Simpson, J. P.; Kane, A. D.; Menon, D. K.; Rueckert, D.; Glocker, B. Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. Medical Image Analysis Vol. 36, 61\u201378, 2017.","journal-title":"Medical Image Analysis"},{"key":"270_CR20","doi-asserted-by":"crossref","unstructured":"Charles, R. Q.; Hao, S.; Mo, K. C.; Guibas, L. J. PointNet: Deep learning on point sets for 3D classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 77\u201385, 2017.","DOI":"10.1109\/CVPR.2017.16"},{"issue":"2","key":"270_CR21","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/s41095-021-0229-5","volume":"7","author":"M H Guo","year":"2021","unstructured":"Guo, M. H.; Cai, J. X.; Liu, Z. N.; Mu, T. J.; Martin, R. R.; Hu, S. M. PCT: Point cloud transformer. Computational Visual Media Vol. 7, No. 2, 187\u2013199, 2021.","journal-title":"Computational Visual Media"},{"key":"270_CR22","doi-asserted-by":"crossref","unstructured":"Wang, Y.; Sun, Y. B.; Liu, Z. W.; Sarma, S. E.; Bronstein, M. M.; Solomon, J. M. Dynamic graph CNN for learning on point clouds. ACM Transactions on Graphics Vol. 38, No. 5, Article No. 146, 2019.","DOI":"10.1145\/3326362"},{"key":"270_CR23","doi-asserted-by":"crossref","unstructured":"Wu, W. X.; Qi, Z. A.; Li, F. X. PointConv: Deep convolutional networks on 3D point clouds. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9613\u20139622, 2019.","DOI":"10.1109\/CVPR.2019.00985"},{"key":"270_CR24","doi-asserted-by":"crossref","unstructured":"Hanocka, R.; Hertz, A.; Fish, N.; Giryes, R.; Fleishman, S.; Cohen-Or, D. MeshCNN. ACM Transactions on Graphics Vol. 38, No. 4, Article No. 90, 2019.","DOI":"10.1145\/3306346.3322959"},{"key":"270_CR25","doi-asserted-by":"crossref","unstructured":"Barill, G.; Dickson, N. G.; Schmidt, R.; Levin, D. I. W.; Jacobson, A. Fast winding numbers for soups and clouds. ACM Transactions on Graphics Vol. 37, No. 4, Article No. 43, 2018.","DOI":"10.1145\/3197517.3201337"},{"issue":"1","key":"270_CR26","doi-asserted-by":"publisher","first-page":"78","DOI":"10.3171\/2012.3.JNS111541","volume":"117","author":"T Kin","year":"2012","unstructured":"Kin, T.; Nakatomi, H.; Shojima, M.; Tanaka, M.; Ino, K.; Mori, H.; Kunimatsu, A.; Oyama, H.; Saito, N. A new strategic neurosurgical planning tool for brainstem cavernous malformations using interactive computer graphics with multimodal fusion images. Journal of Neurosurgery Vol. 117, No. 1, 78\u201388, 2012.","journal-title":"Journal of Neurosurgery"},{"key":"270_CR27","unstructured":"Qi, C. R.; Yi, L.; Su, H.; Guibas, L. J. PointNet++: Deep hierarchical feature learning on point sets in a metric space. In: Proceedings of the 31st International Conference on Neural Information Processing Systems, 5105\u20135114, 2017."},{"key":"270_CR28","doi-asserted-by":"crossref","unstructured":"Li, J. X.; Chen, B. M.; Lee, G. H. SO-net: Self-organizing network for point cloud analysis. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 9397\u20139406, 2018.","DOI":"10.1109\/CVPR.2018.00979"},{"key":"270_CR29","unstructured":"Kr\u00e4henb\u00fchl, P.; Koltun, V. Efficient inference in fully connected CRFs with Gaussian edge potentials. In: Proceedings of the 24th International Conference on Neural Information Processing Systems, 109\u2013117, 2011."}],"container-title":["Computational Visual Media"],"original-title":[],"link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-022-0270-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s41095-022-0270-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s41095-022-0270-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10750449\/10897681\/10897686.pdf?arnumber=10897686","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T18:38:56Z","timestamp":1762367936000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10897686\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":29,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1007\/s41095-022-0270-z","relation":{},"ISSN":["2096-0662","2096-0433"],"issn-type":[{"value":"2096-0662","type":"electronic"},{"value":"2096-0433","type":"print"}],"subject":[],"published":{"date-parts":[[2023,3]]},"assertion":[{"value":"8 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 October 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration of competing interest"}}]}}