{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:13:34Z","timestamp":1777655614844,"version":"3.51.4"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2018,6,27]],"date-time":"2018-06-27T00:00:00Z","timestamp":1530057600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Wellcome Trust","award":["WT101957"],"award-info":[{"award-number":["WT101957"]}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"crossref","award":["NS\/A000027\/1"],"award-info":[{"award-number":["NS\/A000027\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2018,10]]},"DOI":"10.1007\/s11548-018-1813-8","type":"journal-article","created":{"date-parts":[[2018,6,27]],"date-time":"2018-06-27T06:15:51Z","timestamp":1530080151000},"page":"1661-1670","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video"],"prefix":"10.1007","volume":"13","author":[{"given":"Francisco","family":"Vasconcelos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Brand\u00e3o","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Vercauteren","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastien","family":"Ourselin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Deprest","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donald","family":"Peebles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danail","family":"Stoyanov","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,27]]},"reference":[{"issue":"6","key":"1813_CR1","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1109\/TMI.2017.2664042","volume":"36","author":"J Bernal","year":"2017","unstructured":"Bernal J, Tajkbaksh N, Snchez FJ, Matuszewski BJ, Chen H, Yu L, Angermann Q, Romain O, Rustad B, Balasingham I, Pogorelov K, Choi S, Debard Q, Maier-Hein L, Speidel S, Stoyanov D, Brandao P, Crdova H, Snchez-Montes C, Gurudu SR, Fernndez-Esparrach G, Dray X, Liang J, Histace A (2017) Comparative validation of polyp detection methods in video colonoscopy: results from the miccai 2015 endoscopic vision challenge. IEEE Trans Med Imaging 36(6):1231\u20131249","journal-title":"IEEE Trans Med Imaging"},{"key":"1813_CR2","unstructured":"Daga P, Chadebecq F, Shakir DI, Herrera LCGP, Tella M, Dwyer G, David AL, Deprest J, Stoyanov D, Vercauteren T, Ourselin S (2016) Real-time mosaicing of fetoscopic videos using sift. In: Proceedings of SPIE, SPIE medical imaging, vol 9786"},{"key":"1813_CR3","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li LJ, Li K, Fei-Fei L (2009) Imagenet: a large-scale hierarchical image database. In: IEEE conference on computer vision and pattern recognition, CVPR 2009, pp 248\u2013255","DOI":"10.1109\/CVPR.2009.5206848"},{"issue":"5","key":"1813_CR4","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1046\/j.1469-0705.1998.11050347.x","volume":"11","author":"J Deprest","year":"1998","unstructured":"Deprest J, Van Schoubroeck D, Van Ballaer P, Flageole H, Van Assche FA, Vandenberghe K (1998) Alternative technique for Nd: YAG laser coagulation in twin-to-twin transfusion syndrome with anterior placenta. Ultrasound in Obstet Gynecol 11(5):347\u2013352","journal-title":"Ultrasound in Obstet Gynecol"},{"key":"1813_CR5","doi-asserted-by":"crossref","unstructured":"Gaisser F, Jonker PP, Chiba T (2016) Image registration for placenta reconstruction. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 33\u201340","DOI":"10.1109\/CVPRW.2016.66"},{"key":"1813_CR6","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1007\/978-3-319-60964-5_51","volume-title":"Fetoscopic panorama reconstruction: moving from ex-vivo to in-vivo","author":"F Gaisser","year":"2017","unstructured":"Gaisser F, Peeters SHP, Lenseigne B, Jonker PP, Oepkes D (2017) Fetoscopic panorama reconstruction: moving from ex-vivo to in-vivo. Springer, Cham, pp 581\u2013593. \n                    https:\/\/doi.org\/10.1007\/978-3-319-60964-5_51"},{"key":"1813_CR7","doi-asserted-by":"crossref","unstructured":"Garcia-Peraza-Herrera LC, Li W, Fidon L, Gruijthuijsen C, Devreker A, Attilakos G, Deprest J, Vander\u00a0Poorten E, Stoyanov D, Vercauteren T, Ourselin S (2017) Toolnet: holistically-nested real-time segmentation of robotic surgical tools. In: Proceedings of the 2017 IEEE\/RSJ international conference on intelligent robots and systems","DOI":"10.1109\/IROS.2017.8206462"},{"key":"1813_CR8","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"issue":"4","key":"1813_CR9","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1002\/uog.5283","volume":"31","author":"A Huber","year":"2008","unstructured":"Huber A, Baschat A, Bregenzer T, Diemert A, Tchirikov M, Hackel\u00f6er B, Hecher K (2008) Laser coagulation of placental anastomoses with a 30 fetoscope in severe mid-trimester twin-twin transfusion syndrome with anterior placenta. Ultrasound Obstet Gynecol 31(4):412\u2013416","journal-title":"Ultrasound Obstet Gynecol"},{"key":"1813_CR10","first-page":"505","volume-title":"Lecture Notes in Computer Science","author":"Thomas Kurmann","year":"2017","unstructured":"Kurmann T, Neila PM, Du X, Fua P, Stoyanov D, Wolf S, Sznitman R (2017) Simultaneous recognition and pose estimation of instruments in minimally invasive surgery. In: International conference on medical image computing and computer-assisted intervention, Springer, Berlin. pp 505\u2013513"},{"issue":"1","key":"1813_CR11","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.ajog.2012.09.025","volume":"208","author":"L Lewi","year":"2013","unstructured":"Lewi L, Deprest J, Hecher K (2013) The vascular anastomoses in monochorionic twin pregnancies and their clinical consequences. Am J Obstet Gynecol 208(1):19\u201330. \n                    https:\/\/doi.org\/10.1016\/j.ajog.2012.09.025","journal-title":"Am J Obstet Gynecol"},{"issue":"10","key":"1813_CR12","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1080\/14767050701591827","volume":"20","author":"RA Quintero","year":"2007","unstructured":"Quintero RA, Ishii K, Chmait RH, Bornick PW, Allen MH, Kontopoulos EV (2007) Sequential selective laser photocoagulation of communicating vessels in twin-twin transfusion syndrome. J Maternal-Fetal Neonatal Med 20(10):763\u2013768","journal-title":"J Maternal-Fetal Neonatal Med"},{"key":"1813_CR13","unstructured":"Reeff M, Gerhard F, Cattin P, , Szkely G (2006) Mosaicing of endoscopic placenta images. In: Hochberger C, Liskowsky R (eds) Informatik 2006. Informatik fr Menschen, Lecture Notes in Infomatics, vol P-93, pp 467\u2013474"},{"issue":"2","key":"1813_CR14","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1056\/NEJMoa032597","volume":"351","author":"MV Senat","year":"2004","unstructured":"Senat MV, Deprest J, Boulvain M, Paupe A, Winer N, Ville Y (2004) Endoscopic laser surgery versus serial amnioreduction for severe twin-to-twin transfusion syndrome. New Engl J Med 351(2):136\u2013144","journal-title":"New Engl J Med"},{"issue":"1","key":"1813_CR15","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1109\/TMI.2016.2593957","volume":"36","author":"AP Twinanda","year":"2017","unstructured":"Twinanda AP, Shehata S, Mutter D, Marescaux J, de Mathelin M, Padoy N (2017) Endonet: a deep architecture for recognition tasks on laparoscopic videos. IEEE Trans Med Imaging 36(1):86\u201397","journal-title":"IEEE Trans Med Imaging"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-018-1813-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-018-1813-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-018-1813-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,19]],"date-time":"2020-05-19T18:47:26Z","timestamp":1589914046000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-018-1813-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,27]]},"references-count":15,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["1813"],"URL":"https:\/\/doi.org\/10.1007\/s11548-018-1813-8","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,27]]},"assertion":[{"value":"29 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 June 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"For this type of study formal consent is not required.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"No animals or humans were involved in this research. All videos were anonymised before delivery to the researchers.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}