{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T15:19:29Z","timestamp":1769613569584,"version":"3.49.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030203504","type":"print"},{"value":"9783030203511","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-20351-1_2","type":"book-chapter","created":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T11:53:24Z","timestamp":1558526004000},"page":"16-28","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":51,"title":["Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology"],"prefix":"10.1007","author":[{"given":"James R.","family":"Clough","sequence":"first","affiliation":[]},{"given":"Ilkay","family":"Oksuz","sequence":"additional","affiliation":[]},{"given":"Nicholas","family":"Byrne","sequence":"additional","affiliation":[]},{"given":"Julia A.","family":"Schnabel","sequence":"additional","affiliation":[]},{"given":"Andrew P.","family":"King","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,22]]},"reference":[{"key":"2_CR1","unstructured":"GUDHI User and Reference Manual (2015). \n                      http:\/\/gudhi.gforge.inria.fr"},{"issue":"4","key":"2_CR2","first-page":"281","volume":"8","author":"R Assaf","year":"2016","unstructured":"Assaf, R., Goupil, A., Vrabie, V., Kacim, M.: Homology functionality for grayscale image segmentation. J. Inf. Math. Sci. 8(4), 281\u2013286 (2016)","journal-title":"J. Inf. Math. Sci."},{"key":"2_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/978-3-319-66185-8_29","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2017","author":"W Bai","year":"2017","unstructured":"Bai, W., et al.: Semi-supervised Learning for network-based cardiac MR image segmentation. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10434, pp. 253\u2013260. Springer, Cham (2017). \n                      https:\/\/doi.org\/10.1007\/978-3-319-66185-8_29"},{"key":"2_CR4","unstructured":"Chen, C., Ni, X., Bai, Q., Wang, Y.: TopoReg: a topological regularizer for classifiers. arXiv 1806.10714 (2018)"},{"key":"2_CR5","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1090\/conm\/453\/08802","volume":"453","author":"H Edelsbrunner","year":"2008","unstructured":"Edelsbrunner, H., Harer, J.: Persistent homology-a survey. Contemp. Math. 453, 257\u2013282 (2008)","journal-title":"Contemp. Math."},{"key":"2_CR6","unstructured":"Edelsbrunner, H., Letscher, D., Zomorodian, A.: Topological persistence and simplification. In: Foundations of Computer Science, pp. 454\u2013463. IEEE (2000)"},{"key":"2_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/978-3-319-24574-4_32","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"J Funke","year":"2015","unstructured":"Funke, J., Hamprecht, F.A., Zhang, C.: Learning to segment: training hierarchical segmentation under a topological loss. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 268\u2013275. Springer, Cham (2015). \n                      https:\/\/doi.org\/10.1007\/978-3-319-24574-4_32"},{"key":"2_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1007\/978-3-030-00931-1_68","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"P-A Ganaye","year":"2018","unstructured":"Ganaye, P.-A., Sdika, M., Benoit-Cattin, H.: Semi-supervised learning for segmentation under semantic constraint. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11072, pp. 595\u2013602. Springer, Cham (2018). \n                      https:\/\/doi.org\/10.1007\/978-3-030-00931-1_68"},{"key":"2_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1007\/978-3-642-38868-2_16","volume-title":"Information Processing in Medical Imaging","author":"M Gao","year":"2013","unstructured":"Gao, M., Chen, C., Zhang, S., Qian, Z., Metaxas, D., Axel, L.: Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles. In: Gee, J.C., Joshi, S., Pohl, K.M., Wells, W.M., Z\u00f6llei, L. (eds.) IPMI 2013. LNCS, vol. 7917, pp. 184\u2013195. Springer, Heidelberg (2013). \n                      https:\/\/doi.org\/10.1007\/978-3-642-38868-2_16"},{"issue":"1","key":"2_CR10","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1090\/S0273-0979-07-01191-3","volume":"45","author":"R Ghrist","year":"2008","unstructured":"Ghrist, R.: Barcodes: the persistent topology of data. Bull. Am. Math. Soc. 45(1), 61\u201375 (2008)","journal-title":"Bull. Am. Math. Soc."},{"key":"2_CR11","unstructured":"Hofer, C., Kwitt, R., Niethammer, M., Uhl, A.: Deep learning with topological signatures. In: Advances in Neural Information Processing Systems, pp. 1634\u20131644 (2017)"},{"key":"2_CR12","volume-title":"Computational Homology","author":"T Kaczynski","year":"2006","unstructured":"Kaczynski, T., Mischaikow, K., Mrozek, M.: Computational Homology, vol. 157. Springer, Heidelberg (2006)"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Mosinska, A., Marquez-Neila, P., Kozinski, M., Fua, P.: Beyond the pixel-wise loss for topology-aware delineation. In: CVPR (2018)","DOI":"10.1109\/CVPR.2018.00331"},{"issue":"2","key":"2_CR14","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1109\/TMI.2017.2743464","volume":"37","author":"O Oktay","year":"2018","unstructured":"Oktay, O., et al.: Anatomically constrained neural networks (ACNNs). IEEE Trans. Med. Imag. 37(2), 384\u2013395 (2018)","journal-title":"IEEE Trans. Med. Imag."},{"issue":"1","key":"2_CR15","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1140\/epjds\/s13688-017-0109-5","volume":"6","author":"N Otter","year":"2017","unstructured":"Otter, N., Porter, M.A., Tillmann, U., Grindrod, P., Harrington, H.A.: A roadmap for the computation of persistent homology. EPJ Data Sci. 6(1), 17 (2017)","journal-title":"EPJ Data Sci."},{"issue":"1","key":"2_CR16","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/s12968-016-0227-4","volume":"18","author":"SE Petersen","year":"2015","unstructured":"Petersen, S.E., et al.: UK biobank\u2019s cardiovascular magnetic resonance protocol. J. Cardiovasc. Magn. Resonan. 18(1), 8 (2015)","journal-title":"J. Cardiovasc. Magn. Resonan."},{"key":"2_CR17","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.procs.2016.07.033","volume":"90","author":"T Qaiser","year":"2016","unstructured":"Qaiser, T., Sirinukunwattana, K., Nakane, K., Tsang, Y.W., Epstein, D., Rajpoot, N.: Persistent homology for fast tumor segmentation in whole slide histology images. Proc. Comput. Sci. 90, 119\u2013124 (2016)","journal-title":"Proc. Comput. Sci."},{"key":"2_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). \n                      https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"2_CR19","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint \n                      arXiv:1409.1556\n                      \n                     (2014)"},{"issue":"3","key":"2_CR20","doi-asserted-by":"publisher","first-page":"e1001779","DOI":"10.1371\/journal.pmed.1001779","volume":"12","author":"C Sudlow","year":"2015","unstructured":"Sudlow, C., et al.: UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 12(3), e1001779 (2015)","journal-title":"PLoS Med."},{"key":"2_CR21","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-642-23175-9_7","volume-title":"Topological Methods in Data Analysis and Visualization II","author":"H Wagner","year":"2012","unstructured":"Wagner, H., Chen, C., Vu\u00e7ini, E.: Efficient computation of persistent homology for cubical data. In: Peikert, R., Hauser, H., Carr, H., Fuchs, R. (eds.) Topological Methods in Data Analysis and Visualization II, pp. 91\u2013106. Springer, Heidelberg (2012). \n                      https:\/\/doi.org\/10.1007\/978-3-642-23175-9_7"}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20351-1_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T11:53:35Z","timestamp":1558526015000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20351-1_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030203504","9783030203511"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20351-1_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmi2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmi2019.cse.ust.hk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}