{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T15:02:45Z","timestamp":1743087765815,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031250453"},{"type":"electronic","value":"9783031250460"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-25046-0_6","type":"book-chapter","created":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T18:16:32Z","timestamp":1675188992000},"page":"59-69","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Low-Rank and\u00a0Sparse Metamorphic Autoencoders for\u00a0Unsupervised Pathology Disentanglement"],"prefix":"10.1007","author":[{"given":"Hristina","family":"Uzunova","sequence":"first","affiliation":[]},{"given":"Heinz","family":"Handels","sequence":"additional","affiliation":[]},{"given":"Jan","family":"Ehrhardt","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,1]]},"reference":[{"key":"6_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101952","volume":"69","author":"C Baur","year":"2021","unstructured":"Baur, C., Denner, S., Wiestler, B., Navab, N., Albarqouni, S.: Autoencoders for unsupervised anomaly segmentation in brain MR images: a comparative study. Med. Image Anal. 69, 101952 (2021)","journal-title":"Med. Image Anal."},{"key":"6_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/978-3-030-20351-1_15","volume-title":"Information Processing in Medical Imaging","author":"A B\u00f4ne","year":"2019","unstructured":"B\u00f4ne, A., Louis, M., Colliot, O., Durrleman, S.: Learning low-dimensional representations of shape data sets with diffeomorphic autoencoders. In: Chung, A.C.S., Gee, J.C., Yushkevich, P.A., Bao, S. (eds.) IPMI 2019. LNCS, vol. 11492, pp. 195\u2013207. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-20351-1_15"},{"key":"6_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1007\/978-3-030-59710-8_20","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"A B\u00f4ne","year":"2020","unstructured":"B\u00f4ne, A., Vernhet, P., Colliot, O., Durrleman, S.: Learning joint shape and appearance representations with metamorphic auto-encoders. In: Martel, A.L., et al. (eds.) MICCAI 2020. LNCS, vol. 12261, pp. 202\u2013211. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59710-8_20"},{"issue":"4","key":"6_CR4","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1137\/050626090","volume":"4","author":"PL Combettes","year":"2005","unstructured":"Combettes, P.L., Wajs, V.R.: Signal recovery by proximal forward-backward splitting. Multiscale Model. Simul. 4(4), 1168\u20131200 (2005)","journal-title":"Multiscale Model. Simul."},{"key":"6_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/978-3-030-87196-3_22","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2021","author":"R Couronn\u00e9","year":"2021","unstructured":"Couronn\u00e9, R., Vernhet, P., Durrleman, S.: Longitudinal self-supervision to\u00a0disentangle inter-patient variability from\u00a0disease progression. In: de Bruijne, M., et al. (eds.) MICCAI 2021. LNCS, vol. 12902, pp. 231\u2013241. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-87196-3_22"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Ding, Z., et al.: Guided variational autoencoder for disentanglement learning. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, pp. 7917\u20137926. IEEE, June 2020","DOI":"10.1109\/CVPR42600.2020.00794"},{"key":"6_CR7","doi-asserted-by":"publisher","first-page":"214","DOI":"10.5201\/ipol.2012.g-cv","volume":"2","author":"P Getreuer","year":"2012","unstructured":"Getreuer, P.: Chan-Vese segmentation. Image Process. On Line 2, 214\u2013224 (2012)","journal-title":"Image Process. On Line"},{"issue":"6","key":"6_CR8","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1109\/TPAMI.2012.213","volume":"35","author":"K He","year":"2013","unstructured":"He, K., Sun, J., Tang, X.: Guided image filtering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6), 1397\u20131409 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR9","unstructured":"Higgins, I., et al.: Beta-VAE: learning basic visual concepts with a constrained variational framework. In: International Conference on Learning Representations, July 2022"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Kazemi, H., Iranmanesh, S.M., Nasrabadi, N.: Style and content disentanglement in generative adversarial networks. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 848\u2013856, January 2019","DOI":"10.1109\/WACV.2019.00095"},{"key":"6_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102227","volume":"74","author":"K Kobayashi","year":"2021","unstructured":"Kobayashi, K., et al.: Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Med. Image Anal. 74, 102227 (2021)","journal-title":"Med. Image Anal."},{"key":"6_CR12","unstructured":"Kondo, R., Kawano, K., Koide, S., Kutsuna, T. :Flow-based image-to-image translation with feature disentanglement. In: Advances in Neural Information Processing Systems, vol. 32. Curran Associates Inc. (2019)"},{"key":"6_CR13","unstructured":"Liu, S., Dowling, J., Engstrom, C., Greer, P., Crozier, S., Chandra, S.: Manipulating Medical Image Translation with Manifold Disentanglement, November 2020"},{"issue":"12","key":"6_CR14","doi-asserted-by":"publisher","first-page":"2583","DOI":"10.1109\/TMI.2015.2448556","volume":"34","author":"X Liu","year":"2015","unstructured":"Liu, X., Niethammer, M., Kwitt, R., Singh, N., McCormick, M., Aylward, S.: Low-rank atlas image analyses in the presence of pathologies. IEEE Trans. Med. Imaging 34(12), 2583\u20132591 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Lorenz, D., Bereska, L., Milbich, T., Ommer, B.: Unsupervised Part-Based Disentangling of Object Shape and Appearance. arXiv:1903.06946, June 2019","DOI":"10.1109\/CVPR.2019.01121"},{"issue":"10","key":"6_CR16","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TMI.2014.2377694","volume":"34","author":"BH Menze","year":"2015","unstructured":"Menze, B.H., et al.: The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans. Med. Imaging 34(10), 1993\u20132024 (2015)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"11","key":"6_CR17","doi-asserted-by":"publisher","first-page":"2233","DOI":"10.1109\/TPAMI.2011.282","volume":"34","author":"Y Peng","year":"2012","unstructured":"Peng, Y., Ganesh, A., Wright, J., Xu, W., Ma, Y.: RASL: robust alignment by sparse and low-rank decomposition for linearly correlated images. IEEE Trans. Pattern Anal. Mach. Intell. 34(11), 2233\u20132246 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR18","unstructured":"Sakai, T.: Unsupervised Deep Learning by Injecting Low-Rank and Sparse Priors. arXiv (2021)"},{"key":"6_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1007\/978-3-030-01249-6_40","volume-title":"Computer Vision \u2013 ECCV 2018","author":"Z Shu","year":"2018","unstructured":"Shu, Z., Sahasrabudhe, M., Alp G\u00fcler, R., Samaras, D., Paragios, N., Kokkinos, I.: Deforming autoencoders: unsupervised disentangling of shape and appearance. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11214, pp. 664\u2013680. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01249-6_40"},{"key":"6_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/978-3-030-59719-1_49","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2020","author":"H Uzunova","year":"2020","unstructured":"Uzunova, H., Ehrhardt, J., Handels, H.: Generation of annotated brain tumor MRIs with tumor-induced tissue deformations for training and assessment of neural networks. In: Martel, A.L., et al. (eds.) MICCAI 2020. LNCS, vol. 12264, pp. 501\u2013511. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59719-1_49"},{"key":"6_CR21","series-title":"Informatik aktuell","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1007\/978-3-662-54345-0_20","volume-title":"Bildverarbeitung f\u00fcr die Medizin 2017","author":"H Uzunova","year":"2017","unstructured":"Uzunova, H., Handels, H., Ehrhardt, J.: Robust groupwise affine registration of medical images with stochastic optimization. In: Maier-Hein, geb. Fritzsche, K., Deserno, geb. Lehmann, T., Handels, H., Tolxdorff, T. (eds.) Bildverarbeitung f\u00fcr die Medizin 2017. I, pp. 62\u201367. Springer, Heidelberg (2017). https:\/\/doi.org\/10.1007\/978-3-662-54345-0_20"},{"key":"6_CR22","doi-asserted-by":"crossref","unstructured":"Uzunova, H., Handels, H., Ehrhardt, J.: Guided filter regularization for improved disentanglement of shape and appearance in diffeomorphic autoencoders. In: Proceedings of the Fourth Conference on Medical Imaging with Deep Learning. PMLR, pp. 774\u2013786, August 2021","DOI":"10.1007\/978-3-658-36932-3_16"},{"key":"6_CR23","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1007\/978-3-319-66182-7_18","volume-title":"Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2017","author":"M Wilms","year":"2017","unstructured":"Wilms, M., Handels, H., Ehrhardt, J.: Representative patch-based active appearance models generated from small training populations. In: Descoteaux, M., Maier-Hein, L., Franz, A., Jannin, P., Collins, D.L., Duchesne, S. (eds.) MICCAI 2017. LNCS, vol. 10433, pp. 152\u2013160. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-66182-7_18"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Wu, H., Zheng, S., Zhang, J., Huang, K.: Fast end-to-end trainable guided filter. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (Salt Lake City, UT), pp. 1838\u20131847. IEEE, June 2018","DOI":"10.1109\/CVPR.2018.00197"},{"key":"6_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101719","volume":"64","author":"T Xia","year":"2020","unstructured":"Xia, T., Chartsias, A., Tsaftaris, S.A.: Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Med. Image Anal. 64, 101719 (2020)","journal-title":"Med. Image Anal."},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"Yang, H., Zhang, T., Huang, W., He, X., Porikli, F.: Towards purely unsupervised disentanglement of appearance and shape for person images generation. In: Proceedings of the 1st International Workshop on Human-Centric Multimedia Analysis (Seattle WA USA), pp. 33\u201341. ACM, October 2020","DOI":"10.1145\/3422852.3423480"}],"container-title":["Lecture Notes in Computer Science","Medical Applications with Disentanglements"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-25046-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T18:33:34Z","timestamp":1675190014000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-25046-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031250453","9783031250460"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-25046-0_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MAD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"MICCAI Workshop on Medical Applications with Disentanglements","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","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":"22 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mad2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mad.ikim.nrw\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","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":"7","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":"1","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":"88% - 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","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":"2","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}