{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T17:53:26Z","timestamp":1757699606212,"version":"3.37.3"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T00:00:00Z","timestamp":1693267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T00:00:00Z","timestamp":1693267200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007130","name":"University of Texas System","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,29]]},"DOI":"10.1109\/cibcb56990.2023.10264899","type":"proceedings-article","created":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T17:45:00Z","timestamp":1696268700000},"page":"1-8","source":"Crossref","is-referenced-by-count":5,"title":["A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels"],"prefix":"10.1109","author":[{"given":"Jillur Rahman","family":"Saurav","sequence":"first","affiliation":[{"name":"University of Texas at Arlington,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Sadegh","family":"Nasr","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Helen H","family":"Shang","sequence":"additional","affiliation":[{"name":"Ronald Reagan University of California Los Angeles Medical Center,Division of Internal Medicine"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Koomey","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Robben","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manfred","family":"Huber","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jon","family":"Weidanz","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington,Multi-Interprofessional Center for Health Informatics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Br\u00edd","family":"Ryan","sequence":"additional","affiliation":[{"name":"National Cancer Institute, National Institutes of Health,Laboratory of Human Carcinogenesis, Center for Cancer Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eytan","family":"Ruppin","sequence":"additional","affiliation":[{"name":"National Cancer Institute, National Institutes of Health,Cancer Data Science Laboratory, Center for Cancer Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Jiang","sequence":"additional","affiliation":[{"name":"National Cancer Institute, National Institutes of Health,Cancer Data Science Laboratory, Center for Cancer Research"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacob M.","family":"Luber","sequence":"additional","affiliation":[{"name":"University of Texas at Arlington,Department of Computer Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-37257-4"},{"key":"ref35","article-title":"Improving unsupervised stain-to-stain translation using self-supervision and meta-learning","author":"bouteldja","year":"2021","journal-title":"arXiv preprint arXiv 2112 06814"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcpro.2021.100140"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/cancers12123551"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref37","article-title":"Deepliif: Deep learning-inferred multiplex immunofluorescence for ihc image quantification","author":"ghahremani","year":"2021","journal-title":"BioRxiv"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41416-021-01394-x"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/MVIP49855.2020.9116895"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3109\/10520299509108199"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.453"},{"key":"ref11","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41416-019-0398-5"},{"key":"ref10","first-page":"1","article-title":"Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images","volume":"15","author":"fassler","year":"2020","journal-title":"Diagnostic Pathology"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"ref2","first-page":"22","article-title":"Potential clinical applications of next generation fluorescence immunohistochemistry for multiplexed and quantitative determination of biomarker in breast cancer","volume":"2","author":"tada","year":"2016","journal-title":"The Journal of Pathology Clinical Research"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1369\/jhc.2010.957191"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2019.101552"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2020.100089"},{"key":"ref38","article-title":"Deep adversarial training for multi-organ nuclei segmentation in histopathology images. arxiv preprint","author":"mahmood","year":"2018","journal-title":"arXiv preprint arXiv 1810 00069"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00934-2_19"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-0056-0"},{"article-title":"visualkeras","year":"2020","author":"gavrikov","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-022-01415-4"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3847\/2041-8213\/abc255"},{"article-title":"High-resolution image synthesis and semantic manipulation with conditional gans","year":"2017","author":"wang","key":"ref25"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32239-7_70"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC48229.2022.9871832"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-021-01672-4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-021-01308-y"},{"key":"ref21","first-page":"36","article-title":"Random multichannel image synthesis for multiplexed immunofluorescence imaging","author":"bao","year":"2021","journal-title":"Workshop on Computational Pathology MICCAI"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2010.579"},{"key":"ref27","first-page":"1125","article-title":"Image-to-image translation with conditional adversarial networks","author":"isola","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1038\/s41586-019-1629-x","article-title":"The human body at cellular resolution: the nih human biomolecular atlas program","volume":"574","author":"consortium","year":"2019","journal-title":"Nature"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"1341","DOI":"10.1016\/j.cell.2020.07.005","article-title":"Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front","volume":"182","author":"schurch","year":"2020","journal-title":"Cell"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.07.010"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2010.02.002"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41374-019-0336-4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/cac2.12023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2012.02.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2014.08.016"},{"key":"ref40","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv preprint arXiv 2010 11419"}],"event":{"name":"2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","start":{"date-parts":[[2023,8,29]]},"location":"Eindhoven, Netherlands","end":{"date-parts":[[2023,8,31]]}},"container-title":["2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10264826\/10264872\/10264899.pdf?arnumber=10264899","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T17:51:08Z","timestamp":1698083468000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10264899\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,29]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/cibcb56990.2023.10264899","relation":{},"subject":[],"published":{"date-parts":[[2023,8,29]]}}}