{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T11:42:48Z","timestamp":1776512568812,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,3]],"date-time":"2023-09-03T00:00:00Z","timestamp":1693699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100016645","name":"Shear Family Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016645","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIH Core Grant","award":["P30 EY08098"],"award-info":[{"award-number":["P30 EY08098"]}]},{"name":"Research to prevent blindness"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,3]]},"DOI":"10.1145\/3584371.3612979","type":"proceedings-article","created":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T18:52:30Z","timestamp":1696445550000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8238-1957","authenticated-orcid":false,"given":"Adarsh","family":"Gadari","sequence":"first","affiliation":[{"name":"University of North Carolina at Greensboro, Greensboro, North Carolina, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9971-9335","authenticated-orcid":false,"given":"Sandeep","family":"Chandra Bollepalli","sequence":"additional","affiliation":[{"name":"University of Pittsburgh, PITTSBURGH, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6560-3481","authenticated-orcid":false,"given":"Mohammed Nasar","family":"Ibrahim","sequence":"additional","affiliation":[{"name":"University of Pittsburgh, PITTSBURGH, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4831-1153","authenticated-orcid":false,"given":"Sahel","family":"Jose\u00b4-Alian","sequence":"additional","affiliation":[{"name":"University of Pittsburgh School of Medicine, PITTSBURGH, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1772-3558","authenticated-orcid":false,"given":"Jay","family":"Chhablani","sequence":"additional","affiliation":[{"name":"University of Pittsburgh School of Medicine, PITTSBURGH, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3235-9870","authenticated-orcid":false,"given":"Shan","family":"Suthaharan","sequence":"additional","affiliation":[{"name":"University of North Carolina at Greensboro, Greensboro, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0024-8404","authenticated-orcid":false,"given":"Kiran","family":"Kumar Vupparaboina","sequence":"additional","affiliation":[{"name":"University of Pittsburgh, PITTSBURGH, PA, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,10,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Pa.) 26, 6","author":"Chan Annie","year":"2006","unstructured":"Annie Chan , Jay S Duker , Hiroshi Ishikawa , Tony H Ko , Joel S Schuman , and James G Fujimoto . 2006. Quantification of photoreceptor layer thickness in normal eyes using optical coherence tomography. Retina (Philadelphia , Pa.) 26, 6 ( 2006 ), 655. Annie Chan, Jay S Duker, Hiroshi Ishikawa, Tony H Ko, Joel S Schuman, and James G Fujimoto. 2006. Quantification of photoreceptor layer thickness in normal eyes using optical coherence tomography. Retina (Philadelphia, Pa.) 26, 6 (2006), 655."},{"key":"e_1_3_2_1_2_1","volume-title":"Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Optics express 18, 18","author":"Chiu Stephanie J","year":"2010","unstructured":"Stephanie J Chiu , Xiao T Li , Peter Nicholas , Cynthia A Toth , Joseph A Izatt , and Sina Farsiu . 2010. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Optics express 18, 18 ( 2010 ), 19413--19428. Stephanie J Chiu, Xiao T Li, Peter Nicholas, Cynthia A Toth, Joseph A Izatt, and Sina Farsiu. 2010. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Optics express 18, 18 (2010), 19413--19428."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_49"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1988.10478639"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.323"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.2307\/1932409"},{"key":"e_1_3_2_1_7_1","volume-title":"Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. Biomedical optics express 8, 5","author":"Fang Leyuan","year":"2017","unstructured":"Leyuan Fang , David Cunefare , Chong Wang , Robyn H Guymer , Shutao Li , and Sina Farsiu . 2017. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. Biomedical optics express 8, 5 ( 2017 ), 2732--2744. Leyuan Fang, David Cunefare, Chong Wang, Robyn H Guymer, Shutao Li, and Sina Farsiu. 2017. Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search. Biomedical optics express 8, 5 (2017), 2732--2744."},{"key":"e_1_3_2_1_8_1","volume-title":"Segmentation of three-dimensional retinal image data","author":"Fuller Alfred","year":"2007","unstructured":"Alfred Fuller , Robert Zawadzki , Stacey Choi , David Wiley , John Werner , and Bernd Hamann . 2007. Segmentation of three-dimensional retinal image data . IEEE transactions on visualization and computer graphics 13, 6 ( 2007 ), 1719--1726. Alfred Fuller, Robert Zawadzki, Stacey Choi, David Wiley, John Werner, and Bernd Hamann. 2007. Segmentation of three-dimensional retinal image data. IEEE transactions on visualization and computer graphics 13, 6 (2007), 1719--1726."},{"key":"e_1_3_2_1_9_1","unstructured":"Google LLC. 2020. TensorFlow. [Software]. https:\/\/www.tensorflow.org\/  Google LLC. 2020. TensorFlow. [Software]. https:\/\/www.tensorflow.org\/"},{"key":"e_1_3_2_1_10_1","volume-title":"2017 4th IAPR Asian conference on pattern recognition (ACPR). IEEE, 888--893","author":"Gopinath Karthik","year":"2017","unstructured":"Karthik Gopinath , Samrudhdhi B Rangrej , and Jayanthi Sivaswamy . 2017 . A deep learning framework for segmentation of retinal layers from OCT images . In 2017 4th IAPR Asian conference on pattern recognition (ACPR). IEEE, 888--893 . Karthik Gopinath, Samrudhdhi B Rangrej, and Jayanthi Sivaswamy. 2017. A deep learning framework for segmentation of retinal layers from OCT images. In 2017 4th IAPR Asian conference on pattern recognition (ACPR). IEEE, 888--893."},{"key":"e_1_3_2_1_11_1","volume-title":"Optical coherence tomography of the human retina. Archives of ophthalmology 113, 3","author":"Hee Michael R","year":"1995","unstructured":"Michael R Hee , Joseph A Izatt , Eric A Swanson , David Huang , Joel S Schuman , Charles P Lin , Carmen A Puliafito , and James G Fujimoto . 1995. Optical coherence tomography of the human retina. Archives of ophthalmology 113, 3 ( 1995 ), 325--332. Michael R Hee, Joseph A Izatt, Eric A Swanson, David Huang, Joel S Schuman, Charles P Lin, Carmen A Puliafito, and James G Fujimoto. 1995. Optical coherence tomography of the human retina. Archives of ophthalmology 113, 3 (1995), 325--332."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-022-00240-x"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.632"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s10278-021-00556-w","article-title":"Systematic review of generative adversarial networks (gans) for medical image classification and segmentation","volume":"35","author":"Jeong Jiwoong J","year":"2022","unstructured":"Jiwoong J Jeong , Amara Tariq , Tobiloba Adejumo , Hari Trivedi , Judy W Gichoya , and Imon Banerjee . 2022 . Systematic review of generative adversarial networks (gans) for medical image classification and segmentation . Journal of Digital Imaging 35 , 2 (2022), 137 -- 152 . Jiwoong J Jeong, Amara Tariq, Tobiloba Adejumo, Hari Trivedi, Judy W Gichoya, and Imon Banerjee. 2022. Systematic review of generative adversarial networks (gans) for medical image classification and segmentation. Journal of Digital Imaging 35, 2 (2022), 137--152.","journal-title":"Journal of Digital Imaging"},{"key":"e_1_3_2_1_15_1","volume-title":"Learning layer-specific edges for segmenting retinal layers with large deformations. Biomedical optics express 7, 7","author":"Karri SPK","year":"2016","unstructured":"SPK Karri , Debjani Chakraborthi , and Jyotirmoy Chatterjee . 2016. Learning layer-specific edges for segmenting retinal layers with large deformations. Biomedical optics express 7, 7 ( 2016 ), 2888--2901. SPK Karri, Debjani Chakraborthi, and Jyotirmoy Chatterjee. 2016. Learning layer-specific edges for segmenting retinal layers with large deformations. Biomedical optics express 7, 7 (2016), 2888--2901."},{"key":"e_1_3_2_1_16_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba . 2014 . Adam : A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2014). https:\/\/arxiv.org\/abs\/1412.6980 Diederik P. Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. CoRR abs\/1412.6980 (2014). https:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_1_17_1","volume-title":"Retinal thickness measurements from optical coherence tomography using a Markov boundary model","author":"Koozekanani Dara","year":"2001","unstructured":"Dara Koozekanani , Kim Boyer , and Cynthia Roberts . 2001. Retinal thickness measurements from optical coherence tomography using a Markov boundary model . IEEE transactions on medical imaging 20, 9 ( 2001 ), 900--916. Dara Koozekanani, Kim Boyer, and Cynthia Roberts. 2001. Retinal thickness measurements from optical coherence tomography using a Markov boundary model. IEEE transactions on medical imaging 20, 9 (2001), 900--916."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Robert Koprowski and Zygmunt Wrobel. 2009. Layers recognition in tomographic eye image based on random contour analysis.  Robert Koprowski and Zygmunt Wrobel. 2009. Layers recognition in tomographic eye image based on random contour analysis.","DOI":"10.1007\/978-3-540-93905-4_56"},{"key":"e_1_3_2_1_19_1","volume-title":"Retinal layer segmentation of macular OCT images using boundary classification. Biomedical optics express 4, 7","author":"Lang Andrew","year":"2013","unstructured":"Andrew Lang , Aaron Carass , Matthew Hauser , Elias S Sotirchos , Peter A Calabresi , Howard S Ying , and Jerry L Prince . 2013. Retinal layer segmentation of macular OCT images using boundary classification. Biomedical optics express 4, 7 ( 2013 ), 1133--1152. Andrew Lang, Aaron Carass, Matthew Hauser, Elias S Sotirchos, Peter A Calabresi, Howard S Ying, and Jerry L Prince. 2013. Retinal layer segmentation of macular OCT images using boundary classification. Biomedical optics express 4, 7 (2013), 1133--1152."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2889321"},{"key":"e_1_3_2_1_21_1","volume-title":"https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/66873-octseg-optical-coherence-tomography-segmentation-and-evaluation-gui Retrieved","author":"Mayer Markus","year":"2023","unstructured":"Markus Mayer . 2023. OCTSEG ( Optical Coherence Tomography Segmentation and Evaluation GUI). [Software]. https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/66873-octseg-optical-coherence-tomography-segmentation-and-evaluation-gui Retrieved June 11, 2023 . Markus Mayer. 2023. OCTSEG (Optical Coherence Tomography Segmentation and Evaluation GUI). [Software]. https:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/66873-octseg-optical-coherence-tomography-segmentation-and-evaluation-gui Retrieved June 11, 2023."},{"key":"e_1_3_2_1_22_1","volume-title":"Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784","author":"Mirza Mehdi","year":"2014","unstructured":"Mehdi Mirza and Simon Osindero . 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 ( 2014 ). Mehdi Mirza and Simon Osindero. 2014. Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"crossref","first-page":"9541","DOI":"10.1038\/s41598-020-66355-5","article-title":"Automated retinal layer segmentation using graph-based algorithm incorporating deep-learning-derived information","volume":"10","author":"Mishra Zubin","year":"2020","unstructured":"Zubin Mishra , Anushika Ganegoda , Jane Selicha , Ziyuan Wang , SriniVas R Sadda , and Zhihong Hu . 2020 . Automated retinal layer segmentation using graph-based algorithm incorporating deep-learning-derived information . Scientific Reports 10 , 1 (2020), 9541 . Zubin Mishra, Anushika Ganegoda, Jane Selicha, Ziyuan Wang, SriniVas R Sadda, and Zhihong Hu. 2020. Automated retinal layer segmentation using graph-based algorithm incorporating deep-learning-derived information. Scientific Reports 10, 1 (2020), 9541.","journal-title":"Scientific Reports"},{"key":"e_1_3_2_1_24_1","volume-title":"Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context. Biomedical optics express 8, 3","author":"Montuoro Alessio","year":"2017","unstructured":"Alessio Montuoro , Sebastian M Waldstein , Bianca S Gerendas , Ursula Schmidt-Erfurth , and Hrvoje Bogunovi\u0107 . 2017. Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context. Biomedical optics express 8, 3 ( 2017 ), 1874--1888. Alessio Montuoro, Sebastian M Waldstein, Bianca S Gerendas, Ursula Schmidt-Erfurth, and Hrvoje Bogunovi\u0107. 2017. Joint retinal layer and fluid segmentation in OCT scans of eyes with severe macular edema using unsupervised representation and auto-context. Biomedical optics express 8, 3 (2017), 1874--1888."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","first-page":"3195","DOI":"10.1364\/BOE.450193","article-title":"Retinal layer segmentation in optical coherence tomography (OCT) using a 3D deep-convolutional regression network for patients with age-related macular degeneration","volume":"13","author":"Mukherjee Souvick","year":"2022","unstructured":"Souvick Mukherjee , Tharindu De Silva , Peyton Grisso , Henry Wiley , DL Keenan Tiarnan , Alisa T Thavikulwat , Emily Chew , and Catherine Cukras . 2022 . Retinal layer segmentation in optical coherence tomography (OCT) using a 3D deep-convolutional regression network for patients with age-related macular degeneration . Biomedical Optics Express 13 , 6 (2022), 3195 -- 3210 . Souvick Mukherjee, Tharindu De Silva, Peyton Grisso, Henry Wiley, DL Keenan Tiarnan, Alisa T Thavikulwat, Emily Chew, and Catherine Cukras. 2022. Retinal layer segmentation in optical coherence tomography (OCT) using a 3D deep-convolutional regression network for patients with age-related macular degeneration. Biomedical Optics Express 13, 6 (2022), 3195--3210.","journal-title":"Biomedical Optics Express"},{"key":"e_1_3_2_1_26_1","unstructured":"NVIDIA Corporation. 2021. NVIDIA RTX A4000. [Hardware]. https:\/\/www.nvidia.com\/en-us\/design-visualization\/rtx-a4000\/  NVIDIA Corporation. 2021. NVIDIA RTX A4000. [Hardware]. https:\/\/www.nvidia.com\/en-us\/design-visualization\/rtx-a4000\/"},{"key":"e_1_3_2_1_27_1","volume-title":"Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula","author":"Quellec Gw\u00e9nol\u00e9","year":"2010","unstructured":"Gw\u00e9nol\u00e9 Quellec , Kyungmoo Lee , Martin Dolejsi , Mona K Garvin , Michael D Abramoff , and Milan Sonka . 2010. Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula . IEEE transactions on medical imaging 29, 6 ( 2010 ), 1321--1330. Gw\u00e9nol\u00e9 Quellec, Kyungmoo Lee, Martin Dolejsi, Mona K Garvin, Michael D Abramoff, and Milan Sonka. 2010. Three-dimensional analysis of retinal layer texture: identification of fluid-filled regions in SD-OCT of the macula. IEEE transactions on medical imaging 29, 6 (2010), 1321--1330."},{"key":"e_1_3_2_1_28_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger , Philipp Fischer , and Thomas Brox . 2015 . U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference , Munich, Germany , October 5--9, 2015, Proceedings, Part III 18. Springer , 234--241. Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference, Munich, Germany, October 5--9, 2015, Proceedings, Part III 18. Springer, 234--241."},{"key":"e_1_3_2_1_29_1","volume-title":"Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA","author":"Shah Abhay","year":"2017","unstructured":"Abhay Shah , Michael D Abramoff , and Xiaodong Wu. 2017. Simultaneous multiple surface segmentation using deep learning . In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017 , and 7th International Workshop, ML- CDS 2017, Held in Conjunction with MICCAI 2017, Qu\u00e9bec City, QC, Canada, September 14, Proceedings. Springer , 3--11. Abhay Shah, Michael D Abramoff, and Xiaodong Wu. 2017. Simultaneous multiple surface segmentation using deep learning. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Qu\u00e9bec City, QC, Canada, September 14, Proceedings. Springer, 3--11."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-0126-3"},{"key":"e_1_3_2_1_31_1","volume-title":"Segmentation of retinal blood vessels using the radial projection and semi-supervised approach. Pattern recognition 44, 10--11","author":"You Xinge","year":"2011","unstructured":"Xinge You , Qinmu Peng , Yuan Yuan , Yiu-ming Cheung, and Jiajia Lei . 2011. Segmentation of retinal blood vessels using the radial projection and semi-supervised approach. Pattern recognition 44, 10--11 ( 2011 ), 2314--2324. Xinge You, Qinmu Peng, Yuan Yuan, Yiu-ming Cheung, and Jiajia Lei. 2011. Segmentation of retinal blood vessels using the radial projection and semi-supervised approach. Pattern recognition 44, 10--11 (2011), 2314--2324."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.5555\/1819298.1819654"}],"event":{"name":"BCB '23: 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","location":"Houston TX USA","acronym":"BCB '23","sponsor":["SIGBio ACM Special Interest Group on Bioinformatics"]},"container-title":["Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584371.3612979","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3584371.3612979","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:26Z","timestamp":1750178786000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584371.3612979"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,3]]},"references-count":32,"alternative-id":["10.1145\/3584371.3612979","10.1145\/3584371"],"URL":"https:\/\/doi.org\/10.1145\/3584371.3612979","relation":{},"subject":[],"published":{"date-parts":[[2023,9,3]]},"assertion":[{"value":"2023-10-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}