{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T22:45:56Z","timestamp":1762641956960,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/ipta.2016.7821004","type":"proceedings-article","created":{"date-parts":[[2017,1,19]],"date-time":"2017-01-19T22:23:17Z","timestamp":1484864597000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Automatic modeling and classification of vitreomacular traction pathology stages"],"prefix":"10.1109","author":[{"given":"Agnieszka","family":"Stankiewicz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Marciniak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adam","family":"Dabrowski","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Stopa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Rakowicz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elzbieta","family":"Marciniak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"83","article-title":"A New OCT-based Method to Generate Virtual Maps of Vitreomacular Interface Pathologies","author":"stankiewicz","year":"2014","journal-title":"Proceedings of 18th IEEE International Conference on Signal Processing (SPA 2014)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2013-303590"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/eye.2015.262"},{"key":"ref13","article-title":"Automatic identification of macular pathologies in OCT retina images using SVM-based approach","author":"stankiewicz","year":"2015","journal-title":"IFIP Doctoral Seminar on Software-Intensive Systems Engineering"},{"key":"ref14","article-title":"Imaging and measurement of the preretinal space in vitreomacular adhesion and vitreomacular traction by a new SD-OCT scan analysis","author":"stopa","year":"0","journal-title":"XLVII Polish Ophthalomogists Convention Retina - diagnosis 2016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1117\/12.594802"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1364\/OE.18.019413"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1515\/mms-2016-0016","article-title":"Improving Segmentation of 3D Retina Layers Based on Graph Theory Approach for Low Quality OCT Images","volume":"23","author":"stankiewicz","year":"2015","journal-title":"Metrology and Measurement Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1167\/iovs.07-0467"},{"journal-title":"Optovue and Inc RTVue XR 100 Avanti Edition User manual","year":"2014","key":"ref19"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ophtha.2013.07.042"},{"key":"ref27","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/BF02160337"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0b013e3182993ef8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1097\/IAE.0b013e31825bef62"},{"key":"ref8","article-title":"Towards Quantitative Analysis Of Retinal Features In Optical Coherence Tomography","author":"baroni","year":"2006","journal-title":"IPEM Elsevier"},{"key":"ref7","first-page":"537","article-title":"Perifoveal vitreous detachment and its macular complications","volume":"103","author":"johnson","year":"2005","journal-title":"Trans Am Ophthalmol Soc"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1001\/archopht.119.10.1475"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s00417-014-2645-z"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/eye.2013.212"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2011.06.005"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.5455\/2394-6040.ijcmph20150514"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/BHI.2014.6864432"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ENBENG.2012.6331373"},{"article-title":"Modeling Morphology Dynamics of Retinal Pigment Epithelium","year":"0","author":"jiang","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/34.24792"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1117\/12.877956"}],"event":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","start":{"date-parts":[[2016,12,12]]},"location":"Oulu, Finland","end":{"date-parts":[[2016,12,15]]}},"container-title":["2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7799452\/7820922\/07821004.pdf?arnumber=7821004","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T15:50:20Z","timestamp":1568735420000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7821004\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ipta.2016.7821004","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}