{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T20:05:11Z","timestamp":1742933111402,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031734793"},{"type":"electronic","value":"9783031734809"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-73480-9_20","type":"book-chapter","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T08:02:10Z","timestamp":1728028930000},"page":"253-264","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Electron Microscopy Image Registration with\u00a0Twin Axial Transformer and\u00a0Progressive Training"],"prefix":"10.1007","author":[{"given":"Can","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Haiqun","family":"Jin","sequence":"additional","affiliation":[]},{"given":"Chunying","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Futian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yueyi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ruobing","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,5]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"David\u00a0G Lowe. Distinctive image features from scale-invariant keypoints. International journal of computer vision, 60:91\u2013110, 2004.","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Ethan Rublee, Vincent Rabaud, Kurt Konolige, and Gary Bradski. Orb: An efficient alternative to sift or surf. In 2011 International conference on computer vision, pages 2564\u20132571. Ieee, 2011.","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Martin\u00a0A Fischler and Robert\u00a0C Bolles. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381\u2013395, 1981.","DOI":"10.1145\/358669.358692"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Stefan Klein, Marius Staring, Keelin Murphy, Max\u00a0A Viergever, and Josien\u00a0PW Pluim. Elastix: a toolbox for intensity-based medical image registration. IEEE transactions on medical imaging, 29(1):196\u2013205, 2009.","DOI":"10.1109\/TMI.2009.2035616"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Ignacio Arganda-Carreras, Carlos\u00a0OS Sorzano, Roberto Marabini, Jos\u00e9\u00a0Mar\u00eda Carazo, Carlos Ortiz-de Solorzano, and Jan Kybic. Consistent and elastic registration of histological sections using vector-spline regularization. In Computer Vision Approaches to Medical Image Analysis: Second International ECCV Workshop, CVAMIA 2006 Graz, Austria, May 12, 2006 Revised Papers 2, pages 85\u201395. Springer, 2006.","DOI":"10.1007\/11889762_8"},{"issue":"7","key":"20_CR6","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1038\/nmeth.2072","volume":"9","author":"Stephan Saalfeld","year":"2012","unstructured":"Stephan Saalfeld, Richard Fetter, Albert Cardona, and Pavel Tomancak. Elastic volume reconstruction from series of ultra-thin microscopy sections. Nature methods, 9(7):717\u2013720, 2012.","journal-title":"Nature methods"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Philippe Weinzaepfel, Jerome Revaud, Zaid Harchaoui, and Cordelia Schmid. Deepflow: Large displacement optical flow with deep matching. In Proceedings of the IEEE international conference on computer vision, pages 1385\u20131392, 2013.","DOI":"10.1109\/ICCV.2013.175"},{"key":"20_CR8","doi-asserted-by":"crossref","unstructured":"Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Hausser, Caner Hazirbas, Vladimir Golkov, Patrick Van Der\u00a0Smagt, Daniel Cremers, and Thomas Brox. Flownet: Learning optical flow with convolutional networks. In Proceedings of the IEEE international conference on computer vision, pages 2758\u20132766, 2015.","DOI":"10.1109\/ICCV.2015.316"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Anurag Ranjan and Michael\u00a0J Black. Optical flow estimation using a spatial pyramid network. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 4161\u20134170, 2017.","DOI":"10.1109\/CVPR.2017.291"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Guha Balakrishnan, Amy Zhao, Mert\u00a0R Sabuncu, John Guttag, and Adrian\u00a0V Dalca. Voxelmorph: a learning framework for deformable medical image registration. IEEE transactions on medical imaging, 38(8):1788\u20131800, 2019.","DOI":"10.1109\/TMI.2019.2897538"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"Guha Balakrishnan, Amy Zhao, Mert\u00a0R Sabuncu, John Guttag, and Adrian\u00a0V Dalca. An unsupervised learning model for deformable medical image registration. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 9252\u20139260, 2018.","DOI":"10.1109\/CVPR.2018.00964"},{"key":"20_CR12","unstructured":"Shenglong Zhou, Bo\u00a0Hu, Zhiwei Xiong, and Feng Wu. Self-distilled hierarchical network for unsupervised deformable image registration. IEEE Transactions on Medical Imaging, 2023."},{"key":"20_CR13","doi-asserted-by":"crossref","unstructured":"Inwan Yoo, David\u00a0GC Hildebrand, Willie\u00a0F Tobin, Wei-Chung\u00a0Allen Lee, and Won-Ki Jeong. ssemnet: Serial-section electron microscopy image registration using a spatial transformer network with learned features. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Qu\u00e9bec City, QC, Canada, September 14, Proceedings 3, pages 249\u2013257. Springer, 2017.","DOI":"10.1007\/978-3-319-67558-9_29"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Shenglong Zhou, Zhiwei Xiong, Chang Chen, Xuejin Chen, Dong Liu, Yueyi Zhang, Zheng-Jun Zha, and Feng Wu. Fast and accurate electron microscopy image registration with 3d convolution. In Medical Image Computing and Computer Assisted Intervention\u2013MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13\u201317, 2019, Proceedings, Part I 22, pages 478\u2013486. Springer, 2019.","DOI":"10.1007\/978-3-030-32239-7_53"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Xinzhao Liu, Yueyi Zhang, Shenglong Zhou, Zhiwei Xiong, and Xiaoyan Sun. Electron microscopy image registration using correlation volume. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pages 1\u20135. IEEE, 2023.","DOI":"10.1109\/ISBI53787.2023.10230498"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Koen\u00a0AJ Eppenhof, Maxime\u00a0W Lafarge, Mitko Veta, and Josien\u00a0PW Pluim. Progressively trained convolutional neural networks for deformable image registration. IEEE transactions on medical imaging, 39(5):1594\u20131604, 2019.","DOI":"10.1109\/TMI.2019.2953788"},{"key":"20_CR17","unstructured":"Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn, and Tim Salimans. Axial attention in multidimensional transformers. arXiv preprint arXiv:1912.12180, 2019."},{"key":"20_CR18","unstructured":"J\u00a0Funke, S\u00a0Saalfeld, DD\u00a0Bock, SC\u00a0Turaga, and E\u00a0Perlman. Miccai challenge on circuit reconstruction from electron microscopy images, 2016."},{"key":"20_CR19","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1007\/s11263-009-0303-4","volume":"88","author":"Adrien Bartoli","year":"2010","unstructured":"Adrien Bartoli, Mathieu Perriollat, and Sylvie Chambon. Generalized thin-plate spline warps. International Journal of Computer Vision, 88:85\u2013110, 2010.","journal-title":"International Journal of Computer Vision"},{"key":"20_CR20","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et\u00a0al. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, 32, 2019."},{"key":"20_CR21","unstructured":"Diederik\u00a0P Kingma and Jimmy Ba. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980, 2014."},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Zhou Wang, Alan\u00a0C Bovik, Hamid\u00a0R Sheikh, and Eero\u00a0P Simoncelli. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, 13(4):600\u2013612, 2004.","DOI":"10.1109\/TIP.2003.819861"}],"container-title":["Lecture Notes in Computer Science","Biomedical Image Registration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-73480-9_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T08:10:17Z","timestamp":1728029417000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-73480-9_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031734793","9783031734809"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-73480-9_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"5 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WBIR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Biomedical Image Registration","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wbir2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.wbir.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}