{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T01:01:32Z","timestamp":1742950892765,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030505158"},{"type":"electronic","value":"9783030505165"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-50516-5_14","type":"book-chapter","created":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T17:04:00Z","timestamp":1592586240000},"page":"157-169","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Framework for Fusion of T1-Weighted and Dynamic MRI Sequences"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4132-635X","authenticated-orcid":false,"given":"Jo\u00e3o F.","family":"Teixeira","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7924-358X","authenticated-orcid":false,"given":"S\u00ed\u00adlvia","family":"Bessa","sequence":"additional","affiliation":[]},{"given":"Pedro F.","family":"Gouveia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6193-8540","authenticated-orcid":false,"given":"H\u00e9lder P.","family":"Oliveira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,6,17]]},"reference":[{"issue":"4","key":"14_CR1","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1145\/235815.235821","volume":"22","author":"CB Barber","year":"1996","unstructured":"Barber, C.B., Dobkin, D.P., Dobkin, D.P., Huhdanpaa, H.: The Quickhull algorithm for convex hulls. ACM Trans. Math. Softw. 22(4), 469\u2013483 (1996). \nhttps:\/\/doi.org\/10.1145\/235815.235821","journal-title":"ACM Trans. Math. Softw."},{"issue":"6","key":"14_CR2","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"PAMI\u20138","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. PAMI\u20138(6), 679\u2013698 (1986). \nhttps:\/\/doi.org\/10.1109\/TPAMI.1986.4767851","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"14_CR3","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan, T.F., Vese, L.A.: Active contours without edges. IEEE Trans. Image Process. 10(2), 266\u2013277 (2001). \nhttps:\/\/doi.org\/10.1109\/83.902291","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"14_CR4","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1088\/0031-9155\/58\/4\/1221","volume":"58","author":"ID Dmitriev","year":"2013","unstructured":"Dmitriev, I.D., Loo, C.E., Vogel, W.V., Pengel, K.E., Gilhuijs, K.G.A.: Fully automated deformable registration of breast DCE-MRI and PET\/CT. Phys. Med. Biol. 58(4), 1221\u20131233 (2013). \nhttps:\/\/doi.org\/10.1088\/0031-9155\/58\/4\/1221","journal-title":"Phys. Med. Biol."},{"issue":"9","key":"14_CR5","doi-asserted-by":"publisher","first-page":"4573","DOI":"10.1002\/mp.12320","volume":"44","author":"SJ Doran","year":"2017","unstructured":"Doran, S.J., et al.: Breast MRI segmentation for density estimation: do different methods give the same results and how much do differences matter? Med. Phys. 44(9), 4573\u20134592 (2017). \nhttps:\/\/doi.org\/10.1002\/mp.12320","journal-title":"Med. Phys."},{"issue":"3","key":"14_CR6","doi-asserted-by":"publisher","first-page":"1230","DOI":"10.1002\/mp.13375","volume":"46","author":"H Fashandi","year":"2019","unstructured":"Fashandi, H., Kuling, G., Lu, Y., Wu, H., Martel, A.L.: An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets. Med. Phys. 46(3), 1230\u20131244 (2019). \nhttps:\/\/doi.org\/10.1002\/mp.13375","journal-title":"Med. Phys."},{"issue":"3","key":"14_CR7","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1145\/355744.355745","volume":"3","author":"JH Friedman","year":"1977","unstructured":"Friedman, J.H., Bentley, J.L., Finkel, R.A.: An algorithm for finding best matches in logarithmic expected time. ACM Trans. Math. Softw. 3(3), 209\u2013226 (1977). \nhttps:\/\/doi.org\/10.1145\/355744.355745","journal-title":"ACM Trans. Math. Softw."},{"key":"14_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1007\/978-3-540-70538-3_25","volume-title":"Digital Mammography","author":"YC Gong","year":"2008","unstructured":"Gong, Y.C., Brady, M.: Texture-based simultaneous registration and segmentation of breast DCE-MRI. In: Krupinski, E.A. (ed.) IWDM 2008. LNCS, vol. 5116, pp. 174\u2013180. Springer, Heidelberg (2008). \nhttps:\/\/doi.org\/10.1007\/978-3-540-70538-3_25"},{"issue":"3","key":"14_CR9","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s11548-011-0623-z","volume":"7","author":"T Hopp","year":"2012","unstructured":"Hopp, T., Baltzer, P., Dietzel, M., Kaiser, W.A., Ruiter, N.V.: 2D\/3D image fusion of X-ray mammograms with breast MRI: visualizing dynamic contrast enhancement in mammograms. Int. J. Comput. Assist. Radiol. Surg. 7(3), 339\u2013348 (2012). \nhttps:\/\/doi.org\/10.1007\/s11548-011-0623-z","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"3","key":"14_CR10","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1016\/j.neuroimage.2008.12.037","volume":"46","author":"A Klein","year":"2009","unstructured":"Klein, A., et al.: Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. NeuroImage 46(3), 786\u2013802 (2009). \nhttps:\/\/doi.org\/10.1016\/j.neuroimage.2008.12.037","journal-title":"NeuroImage"},{"key":"14_CR11","doi-asserted-by":"publisher","unstructured":"Kumar, R., et al.: Application of 3D registration for detecting lesions in magnetic resonance breast scans. In: Loew, M.H., Hanson, K.M. (eds.) Medical Imaging 1996: Image Processing, vol. 2710, pp. 646\u2013656. International Society for Optics and Photonics, SPIE (1996). \nhttps:\/\/doi.org\/10.1117\/12.237968","DOI":"10.1117\/12.237968"},{"issue":"10","key":"14_CR12","doi-asserted-by":"publisher","first-page":"5835","DOI":"10.1118\/1.4748504","volume":"39","author":"CG Ortiz","year":"2012","unstructured":"Ortiz, C.G., Martel, A.L.: Automatic atlas-based segmentation of the breast in MRI for 3D breast volume computation. Med. Phys. 39(10), 5835\u20135848 (2012). \nhttps:\/\/doi.org\/10.1118\/1.4748504","journal-title":"Med. Phys."},{"issue":"11","key":"14_CR13","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1016\/j.acra.2010.07.008","volume":"17","author":"E Song","year":"2010","unstructured":"Song, E., et al.: Hybrid segmentation of mass in mammograms using template matching and dynamic programming. Acad. Radiol. 17(11), 1414\u20131424 (2010). \nhttps:\/\/doi.org\/10.1016\/j.acra.2010.07.008","journal-title":"Acad. Radiol."},{"key":"14_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1007\/11505730_11","volume-title":"Information Processing in Medical Imaging","author":"C Xiaohua","year":"2005","unstructured":"Xiaohua, C., Brady, M., Lo, J.L.-C., Moore, N.: Simultaneous segmentation and registration of contrast-enhanced breast MRI. In: Christensen, G.E., Sonka, M. (eds.) IPMI 2005. LNCS, vol. 3565, pp. 126\u2013137. Springer, Heidelberg (2005). \nhttps:\/\/doi.org\/10.1007\/11505730_11"},{"key":"14_CR15","doi-asserted-by":"publisher","unstructured":"Zhang, Y., Qiu, Y., Goldgof, D.B., Sarkar, S., Li, L.: 3D finite element modeling of nonrigid breast deformation for feature registration in X-ray and MR images. In: 2007 IEEE Workshop on Applications of Computer Vision (WACV 2007), pp. 38\u201338, February 2007. \nhttps:\/\/doi.org\/10.1109\/WACV.2007.2","DOI":"10.1109\/WACV.2007.2"},{"issue":"2","key":"14_CR16","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/bf01427149","volume":"13","author":"Z Zhang","year":"1994","unstructured":"Zhang, Z.: Iterative point matching for registration of free-form curves and surfaces. Int. J. Comput. Vis. 13(2), 119\u2013152 (1994). \nhttps:\/\/doi.org\/10.1007\/bf01427149","journal-title":"Int. J. Comput. Vis."}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50516-5_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,19]],"date-time":"2020-06-19T17:15:39Z","timestamp":1592586939000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50516-5_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030505158","9783030505165"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50516-5_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"17 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"P\u00f3voa de Varzim","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciar2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.aimiconf.org\/iciar20\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easy Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"123","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":"54","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":"15","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":"44% - 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":"2,9","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":"3,8","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)"}},{"value":"Due to the corona pandemic, ICIAR 2020 will be held virtually only.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}