{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T21:32:37Z","timestamp":1774128757585,"version":"3.50.1"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031112027","type":"print"},{"value":"9783031112034","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-11203-4_14","type":"book-chapter","created":{"date-parts":[[2022,7,8]],"date-time":"2022-07-08T17:04:11Z","timestamp":1657299851000},"page":"124-133","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Multi-magnification Networks for\u00a0Deformable Image Registration on\u00a0Histopathology Images"],"prefix":"10.1007","author":[{"given":"Oezdemir","family":"Cetin","sequence":"first","affiliation":[]},{"given":"Yiran","family":"Shu","sequence":"additional","affiliation":[]},{"given":"Nadine","family":"Flinner","sequence":"additional","affiliation":[]},{"given":"Paul","family":"Ziegler","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Wild","sequence":"additional","affiliation":[]},{"given":"Heinz","family":"Koeppl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,9]]},"reference":[{"issue":"3","key":"14_CR1","first-page":"231","volume":"51","author":"HN Costin","year":"2009","unstructured":"Costin, H.N., Rotariu, C.: Registration of multimodal medical images. Comput. Sci. J. Moldova 51(3), 231\u2013254 (2009)","journal-title":"Comput. Sci. J. Moldova"},{"key":"14_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1007\/978-3-030-00928-1_82","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018","author":"AV Dalca","year":"2018","unstructured":"Dalca, A.V., Balakrishnan, G., Guttag, J., Sabuncu, M.R.: Unsupervised learning for fast probabilistic diffeomorphic registration. In: Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-L\u00f3pez, C., Fichtinger, G. (eds.) MICCAI 2018. LNCS, vol. 11070, pp. 729\u2013738. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-00928-1_82"},{"key":"14_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1007\/978-3-642-23629-7_71","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2011","author":"M Feuerstein","year":"2011","unstructured":"Feuerstein, M., Heibel, H., Gardiazabal, J., Navab, N., Groher, M.: Reconstruction of 3-D histology images by simultaneous deformable registration. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011. LNCS, vol. 6892, pp. 582\u2013589. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23629-7_71"},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.laa.2003.10.021","volume":"380","author":"B Fischer","year":"2004","unstructured":"Fischer, B., Modersitzki, J.: A unified approach to fast image registration and a new curvature based registration technique. Linear Algebra Appl. 380, 107\u2013124 (2004)","journal-title":"Linear Algebra Appl."},{"key":"14_CR5","doi-asserted-by":"crossref","unstructured":"Fu, Y., Lei, Y., Wang, T., Curran, W.J., Liu, T., Yang, X.: Deep learning in medical image registration: a review. Phys. Med. Biol. 65(20), 20TR01 (2020)","DOI":"10.1088\/1361-6560\/ab843e"},{"key":"14_CR6","doi-asserted-by":"publisher","unstructured":"Haskins, G., Kruger, U., Yan, P.: Deep learning in medical image registration: a survey. Mach. Vis. Appl., 1\u201318 (2020). https:\/\/doi.org\/10.1007\/s00138-020-01060-x","DOI":"10.1007\/s00138-020-01060-x"},{"key":"14_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2021.101866","volume":"88","author":"DJ Ho","year":"2021","unstructured":"Ho, D.J., et al.: Deep multi-magnification networks for multi-class breast cancer image segmentation. Comput. Med. Imaging Graph. 88, 101866 (2021)","journal-title":"Comput. Med. Imaging Graph."},{"issue":"9","key":"14_CR8","doi-asserted-by":"publisher","first-page":"1812","DOI":"10.1109\/TBME.2015.2503122","volume":"63","author":"J Lotz","year":"2015","unstructured":"Lotz, J., et al.: Patch-based nonlinear image registration for gigapixel whole slide images. IEEE Trans. Biomed. Eng. 63(9), 1812\u20131819 (2015)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"14_CR9","doi-asserted-by":"crossref","unstructured":"Lv, J., Yang, M., Zhang, J., Wang, X.: Respiratory motion correction for free-breathing 3d abdominal MRI using CNN-based image registration: a feasibility study. Br. J. Radiol. 91(xxxx), 20170788 (2018)","DOI":"10.1259\/bjr.20170788"},{"key":"14_CR10","doi-asserted-by":"crossref","unstructured":"Modersitzki, J.: FAIR: flexible algorithms for image registration. SIAM (2009)","DOI":"10.1137\/1.9780898718843"},{"key":"14_CR11","unstructured":"Pishro-Nik, H.: Introduction to Probability, Statistics, and Random Processes. Kappa Research, Athens (2016)"},{"issue":"3","key":"14_CR12","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.media.2005.03.008","volume":"10","author":"A Pitiot","year":"2006","unstructured":"Pitiot, A., Bardinet, E., Thompson, P.M., Malandain, G.: Piecewise affine registration of biological images for volume reconstruction. Med. Image Anal. 10(3), 465\u2013483 (2006)","journal-title":"Med. Image Anal."},{"key":"14_CR13","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). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"14_CR14","volume-title":"Introduction to Information Retrieval","author":"H Sch\u00fctze","year":"2008","unstructured":"Sch\u00fctze, H., Manning, C.D., Raghavan, P.: Introduction to Information Retrieval, vol. 39. Cambridge University Press, Cambridge (2008)"},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Schwier, M., B\u00f6hler, T., Hahn, H.K., Dahmen, U., Dirsch, O.: Registration of histological whole slide images guided by vessel structures. J. Pathol. Inform. 4(Suppl) (2013)","DOI":"10.4103\/2153-3539.109868"},{"key":"14_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1007\/978-3-319-46726-9_2","volume-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016","author":"M Simonovsky","year":"2016","unstructured":"Simonovsky, M., Guti\u00e9rrez-Becker, B., Mateus, D., Navab, N., Komodakis, N.: A deep metric for multimodal registration. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9902, pp. 10\u201318. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46726-9_2"},{"key":"14_CR17","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1016\/j.patcog.2016.09.004","volume":"62","author":"RW So","year":"2017","unstructured":"So, R.W., Chung, A.C.: A novel learning-based dissimilarity metric for rigid and non-rigid medical image registration by using Bhattacharyya distances. Pattern Recogn. 62, 161\u2013174 (2017)","journal-title":"Pattern Recogn."},{"key":"14_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/978-3-319-66182-7_26","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2017","author":"H Uzunova","year":"2017","unstructured":"Uzunova, H., Wilms, M., Handels, H., Ehrhardt, J.: Training CNNs for image registration from few samples with model-based data augmentation. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10433, pp. 223\u2013231. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66182-7_26"},{"key":"14_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1007\/978-3-030-59861-7_49","volume-title":"Machine Learning in Medical Imaging","author":"M Wodzinski","year":"2020","unstructured":"Wodzinski, M., M\u00fcller, H.: Unsupervised learning-based nonrigid registration of high resolution histology images. In: Liu, M., Yan, P., Lian, C., Cao, X. (eds.) MLMI 2020. LNCS, vol. 12436, pp. 484\u2013493. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59861-7_49"},{"key":"14_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105799","volume":"198","author":"M Wodzinski","year":"2021","unstructured":"Wodzinski, M., M\u00fcller, H.: DeephistReg: unsupervised deep learning registration framework for differently stained histology samples. Comput. Methods Programs Biomed. 198, 105799 (2021)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"11","key":"14_CR21","doi-asserted-by":"publisher","first-page":"977","DOI":"10.1016\/S0262-8856(03)00137-9","volume":"21","author":"B Zitova","year":"2003","unstructured":"Zitova, B., Flusser, J.: Image registration methods: a survey. Image Vis. Comput. 21(11), 977\u20131000 (2003)","journal-title":"Image Vis. Comput."}],"container-title":["Lecture Notes in Computer Science","Biomedical Image Registration"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-11203-4_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T16:14:52Z","timestamp":1710260092000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11203-4_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031112027","9783031112034"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11203-4_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"9 July 2022","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":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wbir2022","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"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Open Review","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"32","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"17","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"34% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3-2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}